[{"@type":"Dataset","integmet_study":"MTBLS10","mesh_chemical_id":["https://identifiers.org/mesh:D009584"],"mesh_chemical_pubtator_kw":["nitrogen"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:7130","https://identifiers.org/taxonomy:49451"],"ncbi_taxonomy_pubtator_kw":["Manduca sexta","Nicotiana attenuata"],"source_id":"https://identifiers.org/metabolights:MTBLS10","study_findings":"Annotated 12 major network hubs with anti-herbivore functions","study_observation":"Herbivory-induced changes in Nicotiana attenuata leaves","study_summary":"LC-ESI-TOF-MS method for Nicotiana attenuata study","study_title_original":"Development and validation of a liquid chromatography-electrospray ionization-time-of-flight mass spectrometry method for induced changes in Nicotiana attenuata leaves during simulated herbivory"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006555"],"go_kw":["methionine metabolism"],"integmet_study":"MTBLS103","mesh_chemical_id":["https://identifiers.org/mesh:D008687","https://identifiers.org/mesh:C013111","https://identifiers.org/mesh:D008715","https://identifiers.org/mesh:D000077205","https://identifiers.org/mesh:D005485"],"mesh_chemical_pubtator_kw":["metformin","methionine sulfoxide","methionine","pioglitazone","flutamide"],"mesh_disease_id":["https://identifiers.org/mesh:D014770","https://identifiers.org/mesh:D007246","https://identifiers.org/mesh:D024821","https://identifiers.org/mesh:D015228","https://identifiers.org/mesh:D018149","https://identifiers.org/mesh:D006943","https://identifiers.org/mesh:D003924"],"mesh_disease_pubtator_kw":["hyperinsulinaemic androgen excess","anovulatory infertility","HIAE","metabolic syndrome","Hyperinsulinaemic androgen excess","hypertriglyceridemia","impaired glucose tolerance","hyperglycemia","type 2 diabetes"],"mesh_gene_id":["https://identifiers.org/ncbigene:335"],"mesh_gene_pubtator_kw":["apo-A1","apolipoprotein-A1"],"source_id":"https://identifiers.org/metabolights:MTBLS103","study_findings":"Impaired HDL maturation linked to methionine-148 oxidation in apo-A1","study_observation":"Serum levels of methionine sulfoxide in HIAE girls","study_summary":"HDL maturation impaired in HIAE adolescents.","study_title_original":"Metabolomics reveals impaired maturation of HDL particles in adolescents with hyperinsulinaemic androgen excess"},{"@type":"Dataset","integmet_study":"MTBLS106","source_id":"https://identifiers.org/metabolights:MTBLS106","study_findings":"Insight into response to chronic mistranslation in mammalian cells","study_observation":"HEK293 cell lines with mutant ribosomal protein RPS2 A226Y","study_summary":"Chronic mistranslation effects in mammalian cells","study_title_original":"Biological effect of chronic mistranslation in mammalian cells"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009058"],"go_kw":["biosynthesis"],"integmet_study":"MTBLS1080","source_id":"https://identifiers.org/metabolights:MTBLS1080","study_findings":"TwCYP712K1 and TwCYP712K2 oxidize friedelin in celastrol biosynthesis.","study_observation":"Genome, transcriptome, and metabolite analyses of T. wilfordii.","study_summary":"Genome analysis of Tripterygium wilfordii for celastrol biosynthesis.","study_title_original":"The genome analysis of Tripterygium wilfordii reveals TwCYP712K1 and TwCYP712K2 responsible for oxidation of friedelin in celastrol biosynthesis pathway"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006529","https://identifiers.org/GO:0008152","https://identifiers.org/GO:0043090"],"go_kw":["asparagine synthesis","metabolism","amino acid uptake"],"integmet_study":"MTBLS1122","mesh_chemical_id":["https://identifiers.org/mesh:D008246","https://identifiers.org/mesh:D012694","https://identifiers.org/mesh:D001216","https://identifiers.org/mesh:D011073"],"mesh_chemical_pubtator_kw":["lysophospholipid","serine","asparagine","polyamine"],"mesh_disease_id":["https://identifiers.org/mesh:D015179","https://identifiers.org/mesh:D003110","https://identifiers.org/mesh:D009369"],"mesh_disease_pubtator_kw":["RCC","colon tumors","Tumors","colon cancer","Colorectal Cancer","CRC","cancer","Cancer","tumor","Colon Cancer","colorectal cancer"],"mesh_gene_id":["https://identifiers.org/ncbigene:440"],"mesh_gene_pubtator_kw":["asparagine synthetase","ASNS"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["women","patients","patient","men","Women"],"source_id":"https://identifiers.org/metabolights:MTBLS1122","study_findings":"Nutrient-deplete subtype in women with RCC linked to poor survival.","study_observation":"Sex-differences in metabolism of colon cancer tissues.","study_summary":"Sex-differences in colon cancer metabolism identified.","study_title_original":"Sex-Differences in Colon Cancer Metabolism Reveal A Novel Subphenotype"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009406","https://identifiers.org/GO:0008152"],"go_kw":["virulence","metabolism"],"integmet_study":"MTBLS1167","mesh_chemical_id":["https://identifiers.org/mesh:C044809","https://identifiers.org/mesh:D013261","https://identifiers.org/mesh:D000666","https://identifiers.org/mesh:D002244","https://identifiers.org/mesh:D005978"],"mesh_chemical_pubtator_kw":["trypanothione","sterol","AmB","Amphotericin B","amphotericin B","carbon","glutathione"],"mesh_disease_id":["https://identifiers.org/mesh:D007239","https://identifiers.org/mesh:D007896"],"mesh_disease_pubtator_kw":["infections","Leishmania infection"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:5665","https://identifiers.org/taxonomy:38568"],"ncbi_taxonomy_pubtator_kw":["L. mexicana","Leishmania"],"source_id":"https://identifiers.org/metabolights:MTBLS1167","study_findings":"Metabolic changes may influence phenotypic profiles beyond drug resistance.","study_observation":"Metabolite abundance differences in AmB-resistant Leishmania lines.","study_summary":"Metabolomics study on AmB-resistant Leishmania phenotypic differences.","study_title_original":"Untargeted metabolomics to understand the basis of phenotypic differences in amphotericin B-resistant Leishmania parasites"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006970","https://identifiers.org/GO:0010287","https://identifiers.org/GO:0009058","https://identifiers.org/GO:0006412","https://identifiers.org/GO:0009273"],"go_kw":["osmotic response","peptidoglycan (PG) biosynthesis","biosynthesis","protein synthesis","cell wall formation"],"integmet_study":"MTBLS1182","mesh_chemical_id":["https://identifiers.org/mesh:D012965","https://identifiers.org/mesh:D000117","https://identifiers.org/mesh:D002439","https://identifiers.org/mesh:D047090"],"mesh_chemical_pubtator_kw":["NaCl","GlcNAc","cefotaxime","Cefotaxime","beta-lactams","beta-lactam"],"mesh_disease_id":["https://identifiers.org/mesh:D007239"],"mesh_disease_pubtator_kw":["infections"],"mesh_gene_id":["https://identifiers.org/ncbigene:28678094"],"mesh_gene_pubtator_kw":["ssrA"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:654","https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["Aeromonas veronii","A. veronii","human"],"source_id":"https://identifiers.org/metabolights:MTBLS1182","study_findings":"Increased cefotaxime persistence and GlcNAc accumulation in tmRNA deletion strains.","study_observation":"Absence of tmRNA in Aeromonas veronii.","study_summary":"tmRNA absence increases cefotaxime persistence in A. veronii.","study_title_original":"Absence of tmRNA Increases the Persistence to Cefotaxime and the Intercellular Accumulation of Metabolite GlcNAc in <i>Aeromonas veronii</i>."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0065007","https://identifiers.org/GO:0006954","https://identifiers.org/GO:0006955","https://identifiers.org/GO:0023052"],"go_kw":["regulation","inflammation","immune response","signaling"],"integmet_study":"MTBLS1188","mesh_disease_id":["https://identifiers.org/mesh:D007239","https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D016778","https://identifiers.org/mesh:D008288"],"mesh_disease_pubtator_kw":["infection","inflammation","Falciparum malaria","malaria","inflammatory"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:5833"],"ncbi_taxonomy_pubtator_kw":["Plasmodium falciparum"],"source_id":"https://identifiers.org/metabolights:MTBLS1188","study_findings":"Host variation affects inflammation and malaria progression; interferon signaling regulates host fate.","study_observation":"Parasite-host interactions and immune response in falciparum malaria.","study_summary":"Immune variation affects malaria outcomes.","study_title_original":"Immune variation leads to diverse outcomes in human malaria"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008152","https://identifiers.org/GO:0016049","https://identifiers.org/GO:0006412","https://identifiers.org/GO:0006351","https://identifiers.org/GO:0009252"],"go_kw":["metabolism","cell growth","translation","transcription","peptidoglycan biosynthesis"],"integmet_study":"MTBLS1191","mesh_chemical_id":["https://identifiers.org/mesh:D012965","https://identifiers.org/mesh:D000117","https://identifiers.org/mesh:D002439","https://identifiers.org/mesh:D047090"],"mesh_chemical_pubtator_kw":["NaCl","GlcNAc","cefotaxime","Cefotaxime","beta-lactams","beta-lactam"],"mesh_disease_id":["https://identifiers.org/mesh:D007239"],"mesh_disease_pubtator_kw":["infections"],"mesh_gene_id":["https://identifiers.org/ncbigene:28678094"],"mesh_gene_pubtator_kw":["ssrA"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:654","https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["Aeromonas veronii","A. veronii","human"],"source_id":"https://identifiers.org/metabolights:MTBLS1191","study_findings":"tmRNA absence upregulates GlcNAc, increasing cefotaxime persistence.","study_observation":"Absence of tmRNA in Aeromonas veronii.","study_summary":"tmRNA absence increases cefotaxime persistence in Aeromonas veronii.","study_title_original":"Absence of tmRNA increases the persistence to cefotaxime by upregulating the metabolites GlcNAc in Aeromonas veronii"},{"@type":"Dataset","integmet_study":"MTBLS1196","mesh_chemical_id":["https://identifiers.org/mesh:D011084","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D002241"],"mesh_chemical_pubtator_kw":["Polycyclic aromatic hydrocarbons","PAHs","PAH","fatty acids","carbohydrates","polycyclic aromatic hydrocarbon"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:165695","https://identifiers.org/taxonomy:1763","https://identifiers.org/taxonomy:1742993","https://identifiers.org/taxonomy:212743","https://identifiers.org/taxonomy:55087"],"ncbi_taxonomy_pubtator_kw":["Sphingobium","Mycobacterium","Pseudarthrobacter","Rhizobacter","Bacillus"],"source_id":"https://identifiers.org/metabolights:MTBLS1196","study_findings":"PAH stress inhibits microbial activity, reduces diversity, affects metabolism.","study_observation":"Soil enzyme activity, microbial community structure and function, microbial metabolism pathways","study_summary":"Soil microorganisms' response to PAH stress studied.","study_title_original":"New insights into the responses of soil microorganisms to polycyclic aromatic hydrocarbon stress by combining enzyme activity and sequencing analysis with metabolomics."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005739","https://identifiers.org/GO:0005737","https://identifiers.org/GO:0008152","https://identifiers.org/GO:0005634","https://identifiers.org/GO:0003678","https://identifiers.org/GO:0006351","https://identifiers.org/GO:0000423"],"go_kw":["mitochondrion","cytoplasm","metabolism","nucleus","DNA helicase activity","transcription","mitophagy"],"integmet_study":"MTBLS1223","mesh_chemical_id":["https://identifiers.org/mesh:D009243"],"mesh_chemical_pubtator_kw":["NAD+"],"mesh_disease_id":["https://identifiers.org/mesh:D008659","https://identifiers.org/mesh:D000092423","https://identifiers.org/mesh:D014898","https://identifiers.org/mesh:D028361","https://identifiers.org/mesh:D019588","https://identifiers.org/mesh:D009461"],"mesh_disease_pubtator_kw":["Metabolic dysfunction","stem cell dysfunction","WS","Werner syndrome","mitochondrial function","premature aging disease","metabolic deficit"],"mesh_gene_id":["https://identifiers.org/ncbigene:206358","https://identifiers.org/ncbigene:7486","https://identifiers.org/ncbigene:8408","https://identifiers.org/ncbigene:64802"],"mesh_gene_pubtator_kw":["DCT-1","Werner","ULK-1","NMNAT1","WRN","nicotinamide nucleotide adenylyltransferase 1"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:7227","https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:6239"],"ncbi_taxonomy_pubtator_kw":["Drosophila melanogaster","patients","human","patient","Caenorhabditis elegans"],"source_id":"https://identifiers.org/metabolights:MTBLS1223","study_findings":"NAD+ repletion restores mitophagy, extends lifespan in WS models.","study_observation":"Impaired mitophagy and NAD+ depletion in WS models.","study_summary":"NAD+ restores mitophagy, limits aging in Werner syndrome.","study_title_original":"NAD+ augmentation restores mitophagy and limits accelerated aging in Werner syndrome (Intracellular UPLC-MS assay)"},{"@type":"Dataset","integmet_study":"MTBLS125","mesh_chemical_id":["https://identifiers.org/mesh:D059808","https://identifiers.org/mesh:C544754","https://identifiers.org/mesh:D000077185"],"mesh_chemical_pubtator_kw":["polyphenol","dihydroresveratrol","resveratrol","RESV","Resveratrol"],"mesh_disease_id":["https://identifiers.org/mesh:D007249"],"mesh_disease_pubtator_kw":["inflammation"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["humans","mouse"],"source_id":"https://identifiers.org/metabolights:MTBLS125","study_findings":"Glucuronidated RESV more abundant in skin; RESV suppresses inflammation in TPA model","study_observation":"RESV metabolites and their tissue distribution after oral and skin administration","study_summary":"RESV distribution in mouse tissues after administration","study_title_original":"Distribution of RESV and its metabolite peaks in mouse tissues after oral and skin administration"},{"@type":"Dataset","integmet_study":"MTBLS127","mesh_chemical_id":["https://identifiers.org/mesh:D059808","https://identifiers.org/mesh:C544754","https://identifiers.org/mesh:D000077185"],"mesh_chemical_pubtator_kw":["polyphenol","dihydroresveratrol","resveratrol","RESV","Resveratrol"],"mesh_disease_id":["https://identifiers.org/mesh:D007249"],"mesh_disease_pubtator_kw":["inflammation"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["humans","mouse"],"source_id":"https://identifiers.org/metabolights:MTBLS127","study_findings":"Glucuronidated metabolites more abundant in skin; RESV suppresses inflammation in TPA model.","study_observation":"Resveratrol metabolites and their tissue distribution after oral and skin absorption.","study_summary":"Resveratrol metabolism in human and mouse cells.","study_title_original":"Resveratrol metabolism in HepG2 (human hepatocytes), HaCaT (human keratinocytes), and C2C12 (mouse myoblasts)"},{"@type":"Dataset","integmet_study":"MTBLS1274","mesh_chemical_id":["https://identifiers.org/mesh:D060766","https://identifiers.org/mesh:D013256","https://identifiers.org/mesh:D014769"],"mesh_chemical_pubtator_kw":["drinking water","steroid hormone","virginiamycin"],"mesh_disease_id":["https://identifiers.org/mesh:D012141"],"mesh_disease_pubtator_kw":["systemic infection"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:590","https://identifiers.org/taxonomy:605"],"ncbi_taxonomy_pubtator_kw":["Salmonella","Salmonella Pullorum","S. Pullorum"],"source_id":"https://identifiers.org/metabolights:MTBLS1274","study_findings":"Organic acids modulate metabolic perturbation and promote growth in challenged broilers.","study_observation":"Effects of organic acids on broilers challenged with Salmonella Pullorum.","study_summary":"Organic acids affect broilers with Salmonella Pullorum.","study_title_original":"Organic Acids Modulate Systemic Metabolic Perturbation Caused by Salmonella Pullorum Challenge in Early-Stage Broilers."},{"@type":"Dataset","integmet_study":"MTBLS128","mesh_chemical_id":["https://identifiers.org/mesh:D001120","https://identifiers.org/mesh:C000615229"],"mesh_chemical_pubtator_kw":["l-arginine","13C"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:1718"],"ncbi_taxonomy_pubtator_kw":["C. glutamicum","ATCC 13032"],"source_id":"https://identifiers.org/metabolights:MTBLS128","study_findings":"Identification of potential bottlenecks in L-arginine biosynthesis","study_observation":"Relative metabolite abundances of biosynthetic intermediates","study_summary":"LC/MS profiling of L-arginine producing strains","study_title_original":"Comparative LC/MS-based profiling of L-arginine producing, canavanine resistant Corynebacterium glutamicum strain ATCC 21831 and type strain ATCC 13032"},{"@type":"Dataset","integmet_study":"MTBLS1295","mesh_chemical_id":["https://identifiers.org/mesh:D002635","https://identifiers.org/mesh:D001647","https://identifiers.org/mesh:D003840","https://identifiers.org/mesh:D019826","https://identifiers.org/mesh:D001464"],"mesh_chemical_pubtator_kw":["chenodeoxycholic acid","Bile Acid","deoxycholic acid","DCA","cholic acid","BAs","bile acid","CDCA","BA"],"mesh_disease_id":["https://identifiers.org/mesh:D008107","https://identifiers.org/mesh:D041781","https://identifiers.org/mesh:D064806","https://identifiers.org/mesh:D002779"],"mesh_disease_pubtator_kw":["liver diseases","cholestatic jaundice","CJ","Gut Microbiota Dysbiosis","gut microbiota dysbiosis","Cholestasis","impaired liver function"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:29465","https://identifiers.org/taxonomy:1678","https://identifiers.org/taxonomy:1301","https://identifiers.org/taxonomy:1485","https://identifiers.org/taxonomy:853","https://identifiers.org/taxonomy:1378"],"ncbi_taxonomy_pubtator_kw":["human","Veillonella","infants","Bifidobacterium","Streptococcus","Clostridium","Faecalibacterium prausnitzii","Gemella"],"source_id":"https://identifiers.org/metabolights:MTBLS1295","study_findings":"CJ infants have altered gut microbiota and reduced fecal bile acids.","study_observation":"Gut microbiota composition and bile acid levels in CJ infants","study_summary":"Gut microbiota dysbiosis affects bile acid metabolism.","study_title_original":"Gut Microbiota Dysbiosis is Associated with Altered Bile Acid Metabolism in Infantile Cholestasis"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009315","https://identifiers.org/GO:0004180","https://identifiers.org/GO:0008152"],"go_kw":["drug resistance","carboxypeptidase activity","metabolism"],"integmet_study":"MTBLS1309","mesh_chemical_id":["https://identifiers.org/mesh:D002264","https://identifiers.org/mesh:C000625879"],"mesh_chemical_pubtator_kw":["carboxylic acid","AN11736"],"mesh_disease_id":["https://identifiers.org/mesh:D014353","https://identifiers.org/mesh:D004194"],"mesh_disease_pubtator_kw":["nagana","Livestock diseases"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:5692","https://identifiers.org/taxonomy:5691"],"ncbi_taxonomy_pubtator_kw":["Trypanosoma congolense","T. brucei","T. congolense"],"source_id":"https://identifiers.org/metabolights:MTBLS1309","study_findings":"CBP loss-of-function causes resistance; CBP re-expression restores drug-susceptibility.","study_observation":"Trypanocidal benzoxaboroles and their activation by trypanosome serine carboxypeptidases.","study_summary":"Benzoxaboroles are peptidase-activated prodrugs against trypanosomes.","study_title_original":"Veterinary trypanocidal benzoxaboroles are peptidase-activated prodrugs (T. congolense assay)"},{"@type":"Dataset","integmet_study":"MTBLS1381","mesh_chemical_id":["https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["lipids","lipid"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["human"],"source_id":"https://identifiers.org/metabolights:MTBLS1381","study_findings":"LipidCreator accurately generates transition lists for lipidomics assays.","study_observation":"Targeted profiling of lipid mediators in human platelet material.","study_summary":"LipidCreator validates targeted lipidomics in human platelets.","study_title_original":"LipidCreator workbench to probe the lipidomic landscape - Platelet isolation and stimulation, targeted lipid mediator profiling"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0030163","https://identifiers.org/GO:0010168","https://identifiers.org/GO:0051235","https://identifiers.org/GO:0019761","https://identifiers.org/GO:0009056"],"go_kw":["protein degradation","ER bodies","sequestering","glucosinolate biosynthesis","degradation"],"integmet_study":"MTBLS1383","mesh_chemical_id":["https://identifiers.org/mesh:D005961"],"mesh_chemical_pubtator_kw":["glucosinolates","glucosinolate"],"source_id":"https://identifiers.org/metabolights:MTBLS1383","study_findings":"ER bodies and NAI2 are crucial for chemical defense.","study_observation":"ER-derived organelles and vacuoles in Brassicaceae plants.","study_summary":"ER bodies enable single-cell defense in Brassicaceae.","study_title_original":"Endoplasmic reticulum-derived bodies enable a single-cell chemical defense in Brassicaceae plants"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0010133","https://identifiers.org/GO:0005739","https://identifiers.org/GO:0005829","https://identifiers.org/GO:0006099","https://identifiers.org/GO:0006119"],"go_kw":["proline oxidation","mitochondrion","cytosol","TCA cycle","oxidative phosphorylation"],"integmet_study":"MTBLS1390","mesh_chemical_id":["https://identifiers.org/mesh:D011392","https://identifiers.org/mesh:D014233","https://identifiers.org/mesh:D017382","https://identifiers.org/mesh:D000255"],"mesh_chemical_pubtator_kw":["proline","tricarboxylic acid","ROS","reactive oxygen species","TCA","ATP"],"mesh_disease_id":["https://identifiers.org/mesh:D015433"],"mesh_disease_pubtator_kw":["mitochondrial membrane"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:7393","https://identifiers.org/taxonomy:5691"],"ncbi_taxonomy_pubtator_kw":["tsetse fly","Trypanosoma brucei"],"source_id":"https://identifiers.org/metabolights:MTBLS1390","study_findings":"Mitochondria release ROS to drive cellular differentiation.","study_observation":"Mitochondrial metabolic remodeling during Trypanosoma brucei life cycle.","study_summary":"Mitochondrial metabolic changes in Trypanosoma brucei.","study_title_original":"Cell-based and multi-omics profiling reveal dynamic metabolic repurposing of mitochondria to drive developmental progression of Trypanosoma brucei"},{"@type":"Dataset","integmet_study":"MTBLS14","mesh_chemical_id":["https://identifiers.org/mesh:D012965","https://identifiers.org/mesh:D012492"],"mesh_chemical_pubtator_kw":["NaCl","salt"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:347996","https://identifiers.org/taxonomy:47247","https://identifiers.org/taxonomy:181267"],"ncbi_taxonomy_pubtator_kw":["Lotus tenuis","Lotus corniculatus","Lotus creticus"],"source_id":"https://identifiers.org/metabolights:MTBLS14","study_findings":"L. creticus excludes Cl- better; Na+ higher in extremophile.","study_observation":"Metabolomic and ionomic responses in Lotus species under salt stress.","study_summary":"Metabolomic responses to salt stress in Lotus species.","study_title_original":"Metabolomic responses to long-term salt stress in related Lotus species (A)"},{"@type":"Dataset","integmet_study":"MTBLS140","mesh_chemical_id":["https://identifiers.org/mesh:D005978","https://identifiers.org/mesh:C004656","https://identifiers.org/mesh:D007069"],"mesh_chemical_pubtator_kw":["glutathione","chloroacetaldehyde","ifosfamide"],"mesh_disease_id":["https://identifiers.org/mesh:D030321","https://identifiers.org/mesh:D064420","https://identifiers.org/mesh:D009369"],"mesh_disease_pubtator_kw":["Nephron Toxicity","toxicity","cancer"],"mesh_gene_id":["https://identifiers.org/ncbigene:468","https://identifiers.org/ncbigene:4780"],"mesh_gene_pubtator_kw":["ATF4","Nrf2"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["human"],"source_id":"https://identifiers.org/metabolights:MTBLS140","study_findings":"High concentration CAA treatment affects glutathione and oxidative stress response metabolites.","study_observation":"Chronic nephrotoxicity in RPTEC/TERT1 cells treated with chloroacetaldehyde.","study_summary":"Metabolome analysis for nephrotoxicity profiling using HPLC-ESI-MS.","study_title_original":"Metabolome analysis via an HPLC-ESI-MS-based experimental and computational pipeline for chronic nephron toxicity profiling"},{"@type":"Dataset","integmet_study":"MTBLS1411","mesh_chemical_id":["https://identifiers.org/mesh:D014295","https://identifiers.org/mesh:C030985","https://identifiers.org/mesh:D009584","https://identifiers.org/mesh:D006151","https://identifiers.org/mesh:D000241"],"mesh_chemical_pubtator_kw":["trimethoprim","Purine","nitrogen","guanosine","adenosine","purine","Trimethoprim"],"mesh_disease_id":["https://identifiers.org/mesh:D016470","https://identifiers.org/mesh:D008580","https://identifiers.org/mesh:D004403","https://identifiers.org/mesh:D007239"],"mesh_disease_pubtator_kw":["bacteremia","meningitis","dysentery","A. veronii infection"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:654","https://identifiers.org/taxonomy:39803"],"ncbi_taxonomy_pubtator_kw":["Aeromonas veronii","A. veronii","bacteriophage Qbeta"],"source_id":"https://identifiers.org/metabolights:MTBLS1411","study_findings":"Hfq elevates efflux pump expression and degrades adenosine, guanosine to mediate trimethoprim resistance.","study_observation":"Hfq regulation of efflux pump expression and purine metabolism in A. veronii.","study_summary":"Hfq increases trimethoprim resistance in A. veronii.","study_title_original":"Hfq Regulates Efflux Pump Expression and Purine Metabolic Pathway to Increase the Trimethoprim Resistance in Aeromonas veronii"},{"@type":"Dataset","integmet_study":"MTBLS1443","mesh_chemical_id":["https://identifiers.org/mesh:D044948","https://identifiers.org/mesh:D000872"],"mesh_chemical_pubtator_kw":["flavonols","anthocyanins"],"source_id":"https://identifiers.org/metabolights:MTBLS1443","study_findings":"Primitivo, Teroldego, Nebbiolo had most unique markers; identified anthocyanins, flavanols, amino acids, hydroxycinnamates, flavonols","study_observation":"Metabolome of 11 single-cultivar Italian red wines","study_summary":"LC-MS analysis of Italian red wine metabolome","study_title_original":"D-Wines: Use of LC-MS metabolomic space to discriminate Italian mono-varietal red wines"},{"@type":"Dataset","integmet_study":"MTBLS1463","mesh_chemical_id":["https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D009584","https://identifiers.org/mesh:D002244"],"mesh_chemical_pubtator_kw":["fatty acids","N","C"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3694"],"ncbi_taxonomy_pubtator_kw":["Populus trichocarpa","P. trichocarpa"],"source_id":"https://identifiers.org/metabolights:MTBLS1463","study_findings":"Plants modulate microbial drought responses; microbial shifts vary by plant presence and microbial group.","study_observation":"Belowground microbial community response to extreme drought with and without plant presence.","study_summary":"Plant hosts affect microbial response to drought.","study_title_original":"Plant hosts modify belowground microbial community response to extreme drought"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009315","https://identifiers.org/GO:0004180"],"go_kw":["drug resistance","carboxypeptidase activity"],"integmet_study":"MTBLS1474","mesh_chemical_id":["https://identifiers.org/mesh:D002264","https://identifiers.org/mesh:C000625879"],"mesh_chemical_pubtator_kw":["carboxylic acid","AN11736"],"mesh_disease_id":["https://identifiers.org/mesh:D014353","https://identifiers.org/mesh:D004194"],"mesh_disease_pubtator_kw":["nagana","Livestock diseases"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:5692","https://identifiers.org/taxonomy:5691"],"ncbi_taxonomy_pubtator_kw":["Trypanosoma congolense","T. brucei","T. congolense"],"source_id":"https://identifiers.org/metabolights:MTBLS1474","study_findings":"CBP loss-of-function causes resistance; re-expression restores susceptibility.","study_observation":"Trypanocidal benzoxaboroles activated by trypanosome serine carboxypeptidases.","study_summary":"Benzoxaboroles are peptidase-activated prodrugs against trypanosomes.","study_title_original":"Veterinary trypanocidal benzoxaboroles are peptidase-activated prodrugs (T. brucei assay)"},{"@type":"Dataset","integmet_study":"MTBLS1485","ncbi_taxonomy_id":["https://identifiers.org/taxonomy:130404"],"ncbi_taxonomy_pubtator_kw":["Piper methysticum","kava"],"source_id":"https://identifiers.org/metabolights:MTBLS1485","study_findings":"Higher kavalactone content in crown root peels and lateral roots.","study_observation":"Metabolomic profile and spatio-temporal characteristics of kava roots and stems.","study_summary":"Kavalactone content in kava roots and peels.","study_title_original":"3D Imaging and metabolomic profiling reveal higher neuroactive kavalactone contents in lateral roots and crown root peels of Piper methysticum (kava)"},{"@type":"Dataset","integmet_study":"MTBLS1490","mesh_chemical_id":["https://identifiers.org/mesh:D002331","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D018698","https://identifiers.org/mesh:D020404"],"mesh_chemical_pubtator_kw":["l-carnitine","carnitine","lipid","Lipid","glutamate","lipids","l-Carnitine","glycerophospholipids"],"mesh_disease_id":["https://identifiers.org/mesh:D001284","https://identifiers.org/mesh:D000070636","https://identifiers.org/mesh:D004620","https://identifiers.org/mesh:D009135","https://identifiers.org/mesh:D009410","https://identifiers.org/mesh:D028361","https://identifiers.org/mesh:D009133"],"mesh_disease_pubtator_kw":["Atrophy","rotator cuff disease","fat accumulation","muscle diseases","infraspinatus muscle degeneration","mitochondrial dysfunction","atrophy","muscle wasting"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9940"],"ncbi_taxonomy_pubtator_kw":["sheep"],"source_id":"https://identifiers.org/metabolights:MTBLS1490","study_findings":null,"study_observation":"Metabolites and lipid species in sheep infraspinatus muscle","study_summary":"L-carnitine effects on sheep muscle lipids and metabolites","study_title_original":"Effect of L-carnitine administration on lipid and metabolite content in sheep infraspinatus muscle after tendon release"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0023052","https://identifiers.org/GO:0007268"],"go_kw":["signaling","neurotransmission"],"integmet_study":"MTBLS1531","mesh_chemical_id":["https://identifiers.org/mesh:D063388","https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["endocannabinoid","lipids","lipid"],"mesh_gene_id":["https://identifiers.org/ncbigene:12801"],"mesh_gene_pubtator_kw":["Cannabinoid-receptor 1"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10116","https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["rat","mouse","mice"],"source_id":"https://identifiers.org/metabolights:MTBLS1531","study_findings":"Reduced endocannabinoid synthesis linked to increased AMPAR expression in enriched environment.","study_observation":"Interplay of proteins and lipids in synaptic signal transduction","study_summary":"Multiomics reveals lipid metabolism changes in synapses.","study_title_original":"Multiomics of synaptic junctions reveals altered lipid metabolism and signaling following environmental enrichment"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009627"],"go_kw":["Systemic acquired resistance (SAR)"],"integmet_study":"MTBLS1550","mesh_chemical_id":["https://identifiers.org/mesh:C495469","https://identifiers.org/mesh:D010649"],"mesh_chemical_pubtator_kw":["p-coumaric acid","phenylalanine"],"mesh_disease_id":["https://identifiers.org/mesh:D007239","https://identifiers.org/mesh:D063730"],"mesh_disease_pubtator_kw":["infection","Systemic acquired resistance","systemic acquired resistance","SAR"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3702"],"ncbi_taxonomy_pubtator_kw":["Arabidopsis"],"source_id":"https://identifiers.org/metabolights:MTBLS1550","study_findings":"Amino acids and phenolic compounds increase in distal leaves, contributing to SAR.","study_observation":"Metabolites in SAR-inducing pathogen infected local and distal leaves","study_summary":"Metabolomics identifies SAR-related metabolites in Arabidopsis.","study_title_original":"Metabolomics analysis identifies metabolites associated with systemic acquired resistance in Arabidopsis"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006954","https://identifiers.org/GO:0008152","https://identifiers.org/GO:0006749","https://identifiers.org/GO:0006665","https://identifiers.org/GO:0023052"],"go_kw":["inflammation","metabolism","glutathione metabolism","sphingolipid metabolism","signaling"],"integmet_study":"MTBLS159","mesh_chemical_id":["https://identifiers.org/mesh:D013107","https://identifiers.org/mesh:D005978","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D014867"],"mesh_chemical_pubtator_kw":["sphingolipid","glutathione","lipid","water"],"mesh_disease_id":["https://identifiers.org/mesh:D019588","https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D008659","https://identifiers.org/mesh:D009765"],"mesh_disease_pubtator_kw":["age","inflammation","metabolic disorders","obesity"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mouse","mice"],"source_id":"https://identifiers.org/metabolights:MTBLS159","study_findings":"Humanin and SHLP2 alter amino acid and lipid metabolites, affecting glutathione and sphingolipid metabolism.","study_observation":"Plasma metabolite profile in diet-induced obesity mice.","study_summary":"Metabolomic effects of peptides on obesity mice.","study_title_original":"Metabolomic Profile of Diet-Induced Obesity Mice in Response to Human and Small Humanin-like Peptide 2 Treatment"},{"@type":"Dataset","integmet_study":"MTBLS16","mesh_chemical_id":["https://identifiers.org/mesh:D012965","https://identifiers.org/mesh:D012492"],"mesh_chemical_pubtator_kw":["NaCl","salt"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:347996","https://identifiers.org/taxonomy:47247","https://identifiers.org/taxonomy:181267"],"ncbi_taxonomy_pubtator_kw":["Lotus tenuis","Lotus corniculatus","Lotus creticus"],"source_id":"https://identifiers.org/metabolights:MTBLS16","study_findings":"L. creticus excludes Cl- better; Na+ higher in extremophile","study_observation":"Metabolomic and ionomic responses in Lotus species under salt stress","study_summary":"Metabolomic responses to salt stress in Lotus species","study_title_original":"Metabolomic responses to long-term salt stress in related Lotus species (C)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005737","https://identifiers.org/GO:0008152","https://identifiers.org/GO:0008283","https://identifiers.org/GO:0006412","https://identifiers.org/GO:0006351","https://identifiers.org/GO:0065003"],"go_kw":["cytoplasm","metabolism","cell proliferation","translation","transcription","protein complex formation"],"integmet_study":"MTBLS1612","mesh_disease_id":["https://identifiers.org/mesh:D000782"],"mesh_disease_pubtator_kw":["aneuploidy","Aneuploidy"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:5661"],"ncbi_taxonomy_pubtator_kw":["Leishmania donovani","Leishmania"],"source_id":"https://identifiers.org/metabolights:MTBLS1612","study_findings":"Aneuploidy impacts transcript and protein levels; post-transcriptional modulation observed.","study_observation":"Genome, transcriptome, proteome, and metabolome of aneuploid Leishmania donovani strains.","study_summary":"Multi-omics analysis of aneuploidy in Leishmania.","study_title_original":"Four layer multi-omics reveals molecular responses to aneuploidy in <i>Leishmania</i>"},{"@type":"Dataset","integmet_study":"MTBLS1622","source_id":"https://identifiers.org/metabolights:MTBLS1622","study_findings":"AllCCS improves accuracy and coverage of metabolite annotation","study_observation":"Metabolite annotation in mouse aging using AllCCS","study_summary":"Ion mobility CCS atlas for metabolite annotation","study_title_original":"Unknown Metabolite Annotation in Mouse Aging using Ion Mobility Collision Cross-Section Atlas (AllCCS)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006954","https://identifiers.org/GO:0002520"],"go_kw":["inflammation","immune system development"],"integmet_study":"MTBLS1698","mesh_disease_id":["https://identifiers.org/mesh:D007249"],"mesh_disease_pubtator_kw":["inflammatory"],"mesh_gene_id":["https://identifiers.org/ncbigene:3576","https://identifiers.org/ncbigene:7099","https://identifiers.org/ncbigene:9076","https://identifiers.org/ncbigene:100506658","https://identifiers.org/ncbigene:7124","https://identifiers.org/ncbigene:7082"],"mesh_gene_pubtator_kw":["IL-8","TLR4","Claudin-1","Occludin","TNFalpha","ZO-1"],"source_id":"https://identifiers.org/metabolights:MTBLS1698","study_findings":"Early supplementation alters gut microbiome, metabolites, cytokine and barrier protein expression.","study_observation":"Jejunal microbiome-metabolome, inflammatory cytokines, barrier proteins in piglets.","study_summary":"Effects of early feeding on piglet gut health.","study_title_original":"Jejunal inflammatory cytokines, barrier proteins and microbiome-metabolome responses to early supplementary feeding of Bamei suckling piglets"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005737","https://identifiers.org/GO:0006099","https://identifiers.org/GO:0008283","https://identifiers.org/GO:0031099"],"go_kw":["cytoplasm","Krebs cycle","cell proliferation","regeneration"],"integmet_study":"MTBLS1708","ncbi_taxonomy_id":["https://identifiers.org/taxonomy:8296"],"ncbi_taxonomy_pubtator_kw":["axolotl","Ambystoma mexicanum"],"source_id":"https://identifiers.org/metabolights:MTBLS1708","study_findings":"Lin28/let-7 circuit modulates metabolism and affects blastema outgrowth.","study_observation":"Lin28/let-7 circuit during forelimb regeneration in Ambystoma mexicanum.","study_summary":"Lin28/let-7 circuit in axolotl regeneration.","study_title_original":"Functional Characterization of the Lin28/let-7 Circuit During Forelimb Regeneration in Ambystoma mexicanum and Its Influence on Metabolic Reprogramming"},{"@type":"Dataset","integmet_study":"MTBLS171","source_id":"https://identifiers.org/metabolights:MTBLS171","study_findings":"40 compounds significantly different; PCA showed protocol and reagent differences.","study_observation":"Automated derivatisation protocols for GC-MS-based untargeted metabolomic analysis of rat urine.","study_summary":"Automated derivatisation protocols for GC-MS urine analysis.","study_title_original":"Assessment of automated trimethylsilyl derivatisation protocols for GC-MS-based untargeted metabolomic analysis of urine"},{"@type":"Dataset","integmet_study":"MTBLS1715","mesh_chemical_id":["https://identifiers.org/mesh:D007501","https://identifiers.org/mesh:C000615229","https://identifiers.org/mesh:D014233","https://identifiers.org/mesh:D002244"],"mesh_chemical_pubtator_kw":["Fe","13C","tricarboxylic acid","TCA","carbon","iron"],"mesh_disease_id":["https://identifiers.org/mesh:D007153"],"mesh_disease_pubtator_kw":["Fe deficiency"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:1215087","https://identifiers.org/taxonomy:160488","https://identifiers.org/taxonomy:220664"],"ncbi_taxonomy_pubtator_kw":["Pseudomonas putida S12","Pseudomonas putida KT2440","Pseudomonas protegens Pf-5","Pseudomonas"],"source_id":"https://identifiers.org/metabolights:MTBLS1715","study_findings":"Fe-deficient bacteria favor gluconeogenic substrates for siderophore production.","study_observation":"Carbon metabolism reprogramming in Fe-deficient Pseudomonas species.","study_summary":"Iron-deficient bacteria prioritize siderophore biosynthesis.","study_title_original":"Hierarchical Carbon Metabolism in Iron-Deficient Bacteria Favors Iron-Scavenging Strategy"},{"@type":"Dataset","integmet_study":"MTBLS173","mesh_chemical_id":["https://identifiers.org/mesh:D019803","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D004075","https://identifiers.org/mesh:C024829","https://identifiers.org/mesh:C116917","https://identifiers.org/mesh:D014280","https://identifiers.org/mesh:D005978"],"mesh_chemical_pubtator_kw":["GSSG","lipid","diacylglycerols","8-oxoguanine","acylcarnitines","triglycerides","GSH"],"mesh_disease_id":["https://identifiers.org/mesh:C537475","https://identifiers.org/mesh:D028361","https://identifiers.org/mesh:D058065"],"mesh_disease_pubtator_kw":["complex I defect","Mitochondrial Dysfunction","diabetic cardiomyopathy","mitochondrial dysfunction"],"mesh_gene_id":["https://identifiers.org/ncbigene:16846"],"mesh_gene_pubtator_kw":["ob","ob/"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["Mouse","mice"],"source_id":"https://identifiers.org/metabolights:MTBLS173","study_findings":"Mitochondrial dysfunction in ob/ob mice linked to oxidative stress and complex I defect.","study_observation":"Mitochondrial respiratory capacities in ob/ob and wild-type mice hearts.","study_summary":"Metabolic profiling of ob/ob mouse heart dysfunction.","study_title_original":"Comprehensive Metabolic Profiling of Age-Related Mitochondrial Dysfunction in the High-Fat-Fed ob/ob Mouse Heart"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0001525","https://identifiers.org/GO:0006096"],"go_kw":["angiogenesis","glycolysis"],"integmet_study":"MTBLS1764","mesh_disease_id":["https://identifiers.org/mesh:D012131","https://identifiers.org/mesh:D020964","https://identifiers.org/mesh:D009369"],"mesh_disease_pubtator_kw":["respiratory deficiency","embryonic lethality","tumour","cancer"],"mesh_gene_id":["https://identifiers.org/ncbigene:70383","https://identifiers.org/ncbigene:12857"],"mesh_gene_pubtator_kw":["cox10","COX"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mouse","mice"],"source_id":"https://identifiers.org/metabolights:MTBLS1764","study_findings":"Mitochondrial respiration is required for neoangiogenesis under limited glucose conditions.","study_observation":"Impact of mitochondrial respiration in mouse endothelial cells on neovascularization.","study_summary":"Mitochondrial respiration's role in angiogenesis during growth.","study_title_original":"Mitochondrial respiration controls neoangiogenesis during wound healing and tumour growth"},{"@type":"Dataset","integmet_study":"MTBLS1792","mesh_chemical_id":["https://identifiers.org/mesh:D000068736"],"mesh_chemical_pubtator_kw":["duloxetine"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:6239"],"ncbi_taxonomy_pubtator_kw":["human","Caenorhabditis elegans"],"source_id":"https://identifiers.org/metabolights:MTBLS1792","study_findings":"70 bacteria-drug interactions; bioaccumulation affects drug availability and bacterial metabolism.","study_observation":"Depletion of 15 drugs by 25 gut bacterial strains.","study_summary":"Gut bacteria bioaccumulate drugs affecting drug availability.","study_title_original":"Bioaccumulation of therapeutic drugs by human gut bacteria: cross-feeding metabolite analysis (FIA-MS) (E.rectale;S.salivarius assays)"},{"@type":"Dataset","integmet_study":"MTBLS1796","mesh_chemical_id":["https://identifiers.org/mesh:D010649"],"mesh_chemical_pubtator_kw":["phenylalanine"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:113636"],"ncbi_taxonomy_pubtator_kw":["Populus tremula"],"source_id":"https://identifiers.org/metabolights:MTBLS1796","study_findings":"Distinct metabolic processes in aspen ray and fiber cells.","study_observation":"Metabolites in wood-forming zone of Populus tremula.","study_summary":"Metabolite patterns in Populus tremula wood formation.","study_title_original":"A metabolite roadmap of the wood-forming tissue in Populus tremula (GC-MS assay; Wood ring and extraxylary tissue)"},{"@type":"Dataset","integmet_study":"MTBLS1797","mesh_chemical_id":["https://identifiers.org/mesh:D010649"],"mesh_chemical_pubtator_kw":["phenylalanine"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:113636"],"ncbi_taxonomy_pubtator_kw":["Populus tremula"],"source_id":"https://identifiers.org/metabolights:MTBLS1797","study_findings":"Distinct metabolic processes in aspen ray and fiber cells.","study_observation":"Metabolites in wood-forming zone of Populus tremula.","study_summary":"Metabolite patterns in Populus tremula wood formation.","study_title_original":"A metabolite roadmap of the wood-forming tissue in Populus tremula (UPLC-MS assay; Wood ring and extraxylary tissue)"},{"@type":"Dataset","integmet_study":"MTBLS1803","mesh_chemical_id":["https://identifiers.org/mesh:D044945","https://identifiers.org/mesh:D005419"],"mesh_chemical_pubtator_kw":["proanthocyanidins","flavonoids"],"mesh_disease_id":["https://identifiers.org/mesh:D000094025"],"mesh_disease_pubtator_kw":["post-anthesis"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:42229"],"ncbi_taxonomy_pubtator_kw":["sweet cherry","Sweet cherry"],"source_id":"https://identifiers.org/metabolights:MTBLS1803","study_findings":"Differential abundance of genes, proteins, and metabolites.","study_observation":"Six non-commercial Tuscan sweet cherry varieties.","study_summary":"Molecular analysis of Tuscan sweet cherries.","study_title_original":"Molecular investigation of Tuscan sweet cherries sampled over three years: gene expression analysis coupled to metabolomics and proteomics."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006644"],"go_kw":["phospholipid metabolism"],"integmet_study":"MTBLS181","mesh_chemical_id":["https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D024505","https://identifiers.org/mesh:D005229","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D010743","https://identifiers.org/mesh:D044242","https://identifiers.org/mesh:D008246","https://identifiers.org/mesh:D005231","https://identifiers.org/mesh:D013438","https://identifiers.org/mesh:D005609"],"mesh_chemical_pubtator_kw":["Fatty Acid","Fatty acids","saturated fatty acids","tocopherol","MUFAs","fatty acid","lipids","phospholipids","tocopherols","trans-fatty acids","lyso-phospholipids","polyunsaturated fatty acids","thiol","PUFAs","lipid","free radical","phospholipid","SFAs","monounsaturated fatty acids"],"mesh_disease_id":["https://identifiers.org/mesh:D020263"],"mesh_disease_pubtator_kw":["damage","Damage"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3880"],"ncbi_taxonomy_pubtator_kw":["Medicago truncatula","M. truncatula"],"source_id":"https://identifiers.org/metabolights:MTBLS181","study_findings":"DPA and tocopherol peaks at 0.5 and 8 h; no trans-fatty acids increase.","study_observation":"Changes in lipid components and antioxidant response during seed imbibition.","study_summary":"Seed metabolism during imbibition and oxidative stress.","study_title_original":"How Does the Seed Pre-germinative Metabolism Fight against Imbibition Damage; Emerging Roles of Fatty Acid Cohort and Antioxidant Defence"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009058","https://identifiers.org/GO:0070085"],"go_kw":["biosynthesis","glycosylation"],"integmet_study":"MTBLS1819","mesh_chemical_id":["https://identifiers.org/mesh:C011006","https://identifiers.org/mesh:C000719075","https://identifiers.org/mesh:C458179","https://identifiers.org/mesh:D014532"],"mesh_chemical_pubtator_kw":["jasmonate","17-hydroxygeranyllinalool","aglycone","17-HGL","UDP-glucose"],"mesh_disease_id":["https://identifiers.org/mesh:D065606"],"mesh_disease_pubtator_kw":["phytotoxic effect"],"mesh_gene_id":["https://identifiers.org/ncbigene:107774226"],"mesh_gene_pubtator_kw":["geranylgeranyl diphosphate synthase"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:7130","https://identifiers.org/taxonomy:49451","https://identifiers.org/taxonomy:4097"],"ncbi_taxonomy_pubtator_kw":["Manduca sexta","Nicotiana attenuata","tobacco","tobacco hornworm"],"source_id":"https://identifiers.org/metabolights:MTBLS1819","study_findings":"Glucosylation and rhamnosylation solve autotoxicity and enhance defense.","study_observation":"Biosynthetic pathway of HGL-DTGs in Nicotiana attenuata.","study_summary":"HGL-DTG biosynthesis and autotoxicity in Nicotiana attenuata.","study_title_original":"Specific decorations of 17-hydroxygeranyllinalool diterpene glycosides solve the autotoxicity problem of chemical defense in Nicotiana attenuata."},{"@type":"Dataset","integmet_study":"MTBLS1821","mesh_chemical_id":["https://identifiers.org/mesh:C084746","https://identifiers.org/mesh:D014867"],"mesh_chemical_pubtator_kw":["Salicylic acid glucoside","water"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:4565"],"ncbi_taxonomy_pubtator_kw":["Triticum aestivum"],"source_id":"https://identifiers.org/metabolights:MTBLS1821","study_findings":"Irrigation frequency affects wheat growth, physiology, and metabolism under drought.","study_observation":"Growth, physiology, and chemistry of wheat under water deficit conditions.","study_summary":"Wheat growth under deficit irrigation conditions.","study_title_original":"Wheat growth, applied water use efficiency and flag leaf metabolome under continuous and pulsed deficit irrigation."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0042438","https://identifiers.org/GO:0042278","https://identifiers.org/GO:0008152","https://identifiers.org/GO:0019482","https://identifiers.org/GO:0006570","https://identifiers.org/GO:0006558"],"go_kw":["melanin formation","purine metabolism","metabolism","beta-alanine metabolism","tyrosine metabolism","phenylalanine metabolism"],"integmet_study":"MTBLS1825","mesh_chemical_id":["https://identifiers.org/mesh:D008543","https://identifiers.org/mesh:D014443","https://identifiers.org/mesh:D004440","https://identifiers.org/mesh:C030985","https://identifiers.org/mesh:D015091","https://identifiers.org/mesh:D010649"],"mesh_chemical_pubtator_kw":["melanin","tyrosine","ecdysone","purine","beta-alanine","phenylalanine"],"mesh_gene_id":["https://identifiers.org/ncbigene:692387","https://identifiers.org/ncbigene:101739914"],"mesh_gene_pubtator_kw":["IDGF","apt-like","Imaginal disc growth factor","imaginal disc growth factor"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:7091"],"ncbi_taxonomy_pubtator_kw":["Bombyx mori"],"source_id":"https://identifiers.org/metabolights:MTBLS1825","study_findings":"IDGF impacts E75A, apt-like, Toll8/spz3 expression, and affects phenylalanine, beta-alanine, purine, tyrosine metabolism.","study_observation":"Imaginal disc growth factor's role in cuticle structure and melanization.","study_summary":"IDGF affects cuticle structure and melanization in Bombyx mori.","study_title_original":"Imaginal disc growth factor maintains cuticle structure and controls melanization in the spot pattern formation of Bombyx mori"},{"@type":"Dataset","integmet_study":"MTBLS1830","mesh_chemical_id":["https://identifiers.org/mesh:D019344","https://identifiers.org/mesh:D011134"],"mesh_chemical_pubtator_kw":["lactate","polysaccharide"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:4932"],"ncbi_taxonomy_pubtator_kw":["yeasts"],"source_id":"https://identifiers.org/metabolights:MTBLS1830","study_findings":"Stable coexistence through spatiotemporal orchestration of species and metabolite dynamics.","study_observation":"Metabolic cooperation and niche partitioning in kefir microbial community.","study_summary":"Kefir microbial community's stable coexistence mechanisms.","study_title_original":"Metabolic cooperation and spatiotemporal niche partitioning in a kefir microbial community; Interaction between the kefir isolates Lactococcus lactis and Acetobacter fabarum (GC-MS)"},{"@type":"Dataset","integmet_study":"MTBLS1831","mesh_chemical_id":["https://identifiers.org/mesh:D010649"],"mesh_chemical_pubtator_kw":["phenylalanine"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:113636"],"ncbi_taxonomy_pubtator_kw":["Populus tremula"],"source_id":"https://identifiers.org/metabolights:MTBLS1831","study_findings":"Distinct metabolic processes in aspen ray and fiber cells.","study_observation":"Metabolites in wood-forming zone of Populus tremula.","study_summary":"Metabolite patterns in Populus tremula wood formation.","study_title_original":"A metabolite roadmap of the wood-forming tissue in Populus tremula (UPLC-MS assay; Wood fibre and ray cell tissue)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008652","https://identifiers.org/GO:0005737","https://identifiers.org/GO:0005886","https://identifiers.org/GO:0006412"],"go_kw":["amino acid biosynthesis","cytoplasm","plasma membrane","protein biosynthesis"],"integmet_study":"MTBLS1847","mesh_chemical_id":["https://identifiers.org/mesh:D007854","https://identifiers.org/mesh:D019343","https://identifiers.org/mesh:D000362","https://identifiers.org/mesh:D019216","https://identifiers.org/mesh:C017461"],"mesh_chemical_pubtator_kw":["Pb","citrate","agar","heavy metal","Pb(NO3)2"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:80863","https://identifiers.org/taxonomy:71150"],"ncbi_taxonomy_pubtator_kw":["Populus x canescens","Paxillus involutus"],"source_id":"https://identifiers.org/metabolights:MTBLS1847","study_findings":"Inoculated roots showed intense molecular Pb response and lower Pb uptake.","study_observation":"Populus \u00d7 canescens microcuttings inoculated with Paxillus involutus under Pb stress.","study_summary":"Proteomic responses in poplar roots to Pb stress.","study_title_original":"Pb Stress and Ectomycorrhizas: Strong Protective Proteomic Responses in Poplar Roots Inoculated with <i>Paxillus involutus</i> Isolate and Characterized by Low Root Colonization Intensity."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006629","https://identifiers.org/GO:0008152","https://identifiers.org/GO:0006096"],"go_kw":["lipid metabolism","metabolism","glycolysis"],"integmet_study":"MTBLS1858","mesh_chemical_id":["https://identifiers.org/mesh:D020404","https://identifiers.org/mesh:D019289","https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["glycerophospholipid","pyruvate","lipid"],"mesh_gene_id":["https://identifiers.org/ncbigene:7693148"],"mesh_gene_pubtator_kw":["yciA."],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:90371"],"ncbi_taxonomy_pubtator_kw":["S. typhimurium","Salmonella typhimurium"],"source_id":"https://identifiers.org/metabolights:MTBLS1858","study_findings":"SlyA affects glycolysis and lipid metabolism pathways; gene expression downregulated without slyA.","study_observation":"Effect of slyA on cell metabolism of Salmonella Typhimurium","study_summary":"SlyA impacts Salmonella metabolism via gene regulation.","study_title_original":"The impact of slyA on cell metabolism of Salmonella Typhimurium: a joint study of transcriptomics and"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006778","https://identifiers.org/GO:0019369","https://identifiers.org/GO:0006094","https://identifiers.org/GO:0006558","https://identifiers.org/GO:0001897","https://identifiers.org/GO:0006629","https://identifiers.org/GO:0004623","https://identifiers.org/GO:0006099"],"go_kw":["porphyrin metabolism","arachidonic acid metabolism","gluconeogenesis","phenylalanine metabolism","pathogenesis","lipid metabolism","phospholipase A2 activity","tricarboxylic acid cycle"],"integmet_study":"MTBLS1866","mesh_chemical_id":["https://identifiers.org/mesh:D019301","https://identifiers.org/mesh:D014364","https://identifiers.org/mesh:C483858","https://identifiers.org/mesh:D014233","https://identifiers.org/mesh:D014443","https://identifiers.org/mesh:D012346","https://identifiers.org/mesh:D016718","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D011166","https://identifiers.org/mesh:D010713","https://identifiers.org/mesh:D014280","https://identifiers.org/mesh:D010649"],"mesh_chemical_pubtator_kw":["oleic acid","tryptophan","phosphatidylethanolamine","tricarboxylic acid","tyrosine","aminoacyl-tRNA","arachidonic acid","fatty acids","lipids","porphyrins","TCA","phosphatidylcholine","triglycerides","phenylalanine"],"mesh_disease_id":["https://identifiers.org/mesh:D000086382","https://identifiers.org/mesh:D007239","https://identifiers.org/mesh:D003643"],"mesh_disease_pubtator_kw":["Coronavirus Disease 2019","infection","COVID-19","SARS-CoV-2 infection","deaths"],"mesh_gene_id":["https://identifiers.org/ncbigene:5319"],"mesh_gene_pubtator_kw":["PLA2","phospholipase A2"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:2697049"],"ncbi_taxonomy_pubtator_kw":["patients","SARS-CoV-2"],"source_id":"https://identifiers.org/metabolights:MTBLS1866","study_findings":"Identified biomarkers, lipid alterations, and potential therapeutic targets for COVID-19.","study_observation":"Host response to SARS-CoV-2 infection","study_summary":"Plasma analysis reveals COVID-19 host response mechanisms.","study_title_original":"Large-Scale Plasma Analysis Revealed New Mechanisms and Molecules Associated with the Host Response to SARS-CoV-2."},{"@type":"Dataset","integmet_study":"MTBLS1890","mesh_chemical_id":["https://identifiers.org/mesh:C005356","https://identifiers.org/mesh:D016718","https://identifiers.org/mesh:D013107","https://identifiers.org/mesh:D063388"],"mesh_chemical_pubtator_kw":["sphingosyl-phosphocholine","arachidonic acid","sphingolipid","endocannabinoid"],"mesh_disease_id":["https://identifiers.org/mesh:D007239","https://identifiers.org/mesh:D003072","https://identifiers.org/mesh:D001523","https://identifiers.org/mesh:D014123","https://identifiers.org/mesh:D008659","https://identifiers.org/mesh:D009223","https://identifiers.org/mesh:D007249"],"mesh_disease_pubtator_kw":["infected","cognitive impairment","psychiatric disorders","T. gondii infection","Toxoplasma gondii infection","metabolic","DM","inflammatory"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090","https://identifiers.org/taxonomy:5811"],"ncbi_taxonomy_pubtator_kw":["mice","mouse","Toxoplasma gondii"],"source_id":"https://identifiers.org/metabolights:MTBLS1890","study_findings":"New pathways and metabolites mediating T. gondii infection and hippocampus interplay","study_observation":"Metabolomic profiles of mouse hippocampus following T. gondii infection","study_summary":"Metabolomic profiles of mouse hippocampus post T. gondii infection","study_title_original":"Metabolite profile of mice hippocampus following Toxoplasma gondii infection"},{"@type":"Dataset","integmet_study":"MTBLS1892","mesh_chemical_id":["https://identifiers.org/mesh:D005875","https://identifiers.org/mesh:D005632","https://identifiers.org/mesh:D014233","https://identifiers.org/mesh:D000073893","https://identifiers.org/mesh:D006601","https://identifiers.org/mesh:D013395","https://identifiers.org/mesh:D005708","https://identifiers.org/mesh:D006600","https://identifiers.org/mesh:D002244"],"mesh_chemical_pubtator_kw":["gibberellin","fructose","tricarboxylic acid","sugar","hexoses","sucrose","GA","hexose phosphates","sugars","carbon"],"mesh_gene_id":["https://identifiers.org/ncbigene:3795"],"mesh_gene_pubtator_kw":["fructokinase"],"source_id":"https://identifiers.org/metabolights:MTBLS1892","study_findings":"GA cascades enhance sink capacities, activating central metabolism and increasing sucrose uptake.","study_observation":"Biochemical mechanisms of fruit set in tomato ovaries.","study_summary":"Gibberellin affects tomato fruit set metabolism.","study_title_original":"Fruit setting rewires central metabolism via gibberellin cascades"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0023052","https://identifiers.org/GO:0007420","https://identifiers.org/GO:0006909"],"go_kw":["signaling","brain development","phagocytosis"],"integmet_study":"MTBLS1952","mesh_chemical_id":["https://identifiers.org/mesh:D015525","https://identifiers.org/mesh:D019377"],"mesh_chemical_pubtator_kw":["Omega-3 fatty acids","n-3 PUFA","n-3 PUFAs","12-HETE"],"mesh_disease_id":["https://identifiers.org/mesh:D004194","https://identifiers.org/mesh:D002658","https://identifiers.org/mesh:D065886"],"mesh_disease_pubtator_kw":["neurodevelopmental diseases","neurodevelopmental disorders","neurodevelopmental defects"],"mesh_gene_id":["https://identifiers.org/ncbigene:11687"],"mesh_gene_pubtator_kw":["12/15-lipoxygenase","LOX"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090","https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["mouse","mice","Humans"],"source_id":"https://identifiers.org/metabolights:MTBLS1952","study_findings":"Maternal n-3 PUFA deficiency increases microglial phagocytosis, affecting neuronal morphology and cognition.","study_observation":"Microglial phagocytosis of synaptic elements in the developing hippocampus","study_summary":"Omega-3 deficiency affects microglial phagocytosis.","study_title_original":"Essential omega-3 fatty acids tune microglial phagocytosis of synaptic elements in the developing brain"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008152","https://identifiers.org/GO:0160109","https://identifiers.org/GO:0009423"],"go_kw":["metabolism","plant development","shikimate pathway"],"integmet_study":"MTBLS1964","mesh_chemical_id":["https://identifiers.org/mesh:C000723335","https://identifiers.org/mesh:D005419"],"mesh_chemical_pubtator_kw":["shikimate","flavonoids"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:4577","https://identifiers.org/taxonomy:29875"],"ncbi_taxonomy_pubtator_kw":["Zea mays","Trichoderma virens","T. virens"],"source_id":"https://identifiers.org/metabolights:MTBLS1964","study_findings":"T. virens colonization alters root metabolome, affecting shikimate pathway metabolites.","study_observation":"Interactions between Zea mays and Trichoderma virens.","study_summary":"Metabolic changes in maize roots by T. virens.","study_title_original":"Insights into Metabolic Changes Caused by the <i>Trichoderma virens</i>-Maize Root Interaction."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005737","https://identifiers.org/GO:0006915","https://identifiers.org/GO:0008610","https://identifiers.org/GO:0006629","https://identifiers.org/GO:0005783"],"go_kw":["cytoplasm","apoptosis","lipid biosynthesis","lipid metabolism","ER"],"integmet_study":"MTBLS1967","mesh_chemical_id":["https://identifiers.org/mesh:C019417","https://identifiers.org/mesh:D019301","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D005229","https://identifiers.org/mesh:D010743"],"mesh_chemical_pubtator_kw":["D-2HG","oleic acid","lipid","MUFA","lipids","phospholipids","monounsaturated fatty acids"],"mesh_disease_id":["https://identifiers.org/mesh:D009369","https://identifiers.org/mesh:D005910"],"mesh_disease_pubtator_kw":["tumors","glioma","gliomas","tumor"],"mesh_gene_id":["https://identifiers.org/ncbigene:6319","https://identifiers.org/ncbigene:3417"],"mesh_gene_pubtator_kw":["stearyl-CoA desaturase","SCD","IDH1","IDH1WT"],"source_id":"https://identifiers.org/metabolights:MTBLS1967","study_findings":"IDH1mut-induced SCD overexpression alters lipid distribution, affecting organelle morphology.","study_observation":"IDH1 mutation effects on organelle lipid distribution in gliomas.","study_summary":"IDH1 mutations affect organelle morphology via lipid imbalance.","study_title_original":"IDH1 Mutations Induce Organelle Defects Via Dysregulated Phospholipids (FA_HILICZ)"},{"@type":"Dataset","integmet_study":"MTBLS1973","mesh_chemical_id":["https://identifiers.org/mesh:C019417","https://identifiers.org/mesh:D019301","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D005229","https://identifiers.org/mesh:D010743"],"mesh_chemical_pubtator_kw":["D-2HG","oleic acid","lipid","MUFA","lipids","phospholipids","monounsaturated fatty acids"],"mesh_disease_id":["https://identifiers.org/mesh:D009369","https://identifiers.org/mesh:D005910"],"mesh_disease_pubtator_kw":["tumors","glioma","gliomas","tumor"],"mesh_gene_id":["https://identifiers.org/ncbigene:6319","https://identifiers.org/ncbigene:3417"],"mesh_gene_pubtator_kw":["stearyl-CoA desaturase","SCD","IDH1","IDH1WT"],"source_id":"https://identifiers.org/metabolights:MTBLS1973","study_findings":"IDH1 mutation causes organelle defects via SCD overexpression; oleic acid induces apoptosis in IDH1mut cells.","study_observation":"Monounsaturated to polyunsaturated lipid imbalances in organelles due to IDH mutation.","study_summary":"IDH1 mutations affect organelle morphology via lipid imbalance.","study_title_original":"IDH1 Mutations Induce Organelle Defects Via Dysregulated Phospholipids (CSHNeg)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006633","https://identifiers.org/GO:0005737","https://identifiers.org/GO:0006915","https://identifiers.org/GO:0005783","https://identifiers.org/GO:0008610","https://identifiers.org/GO:0006629","https://identifiers.org/GO:0008219"],"go_kw":["fatty acid biosynthesis","cytoplasm","apoptosis","endoplasmic reticulum","lipid biosynthesis","lipid metabolism","cell death"],"integmet_study":"MTBLS1974","mesh_chemical_id":["https://identifiers.org/mesh:C019417","https://identifiers.org/mesh:D019301","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D005229","https://identifiers.org/mesh:D010743"],"mesh_chemical_pubtator_kw":["D-2HG","oleic acid","lipid","MUFA","lipids","phospholipids","monounsaturated fatty acids"],"mesh_disease_id":["https://identifiers.org/mesh:D009369","https://identifiers.org/mesh:D005910"],"mesh_disease_pubtator_kw":["tumors","glioma","gliomas","tumor"],"mesh_gene_id":["https://identifiers.org/ncbigene:6319","https://identifiers.org/ncbigene:3417"],"mesh_gene_pubtator_kw":["stearyl-CoA desaturase","SCD","IDH1","IDH1WT"],"source_id":"https://identifiers.org/metabolights:MTBLS1974","study_findings":"IDH1 mutation-induced SCD overexpression alters lipid distribution, affecting organelle morphology.","study_observation":"Monounsaturated to polyunsaturated lipid imbalances in organelles.","study_summary":"IDH1 mutations cause organelle defects via lipid imbalance.","study_title_original":"IDH1 Mutations Induce Organelle Defects Via Dysregulated Phospholipids (CSHpos)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006935","https://identifiers.org/GO:0006810","https://identifiers.org/GO:0008152"],"go_kw":["chemotaxis","transport","metabolism"],"integmet_study":"MTBLS1980","mesh_chemical_id":["https://identifiers.org/mesh:D000090422"],"mesh_chemical_pubtator_kw":["DOM","dissolved organic matter"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:629395"],"ncbi_taxonomy_pubtator_kw":["bacteria"],"source_id":"https://identifiers.org/metabolights:MTBLS1980","study_findings":"Chemotaxis towards DOM shapes microbial communities and biogeochemical processes.","study_observation":"Behavioural responses of marine bacteria and archaea to phytoplankton-derived DOM.","study_summary":"Chemotaxis influences ocean microbiome organization.","study_title_original":"Chemotaxis shapes the microscale organization of the ocean\u2019s microbiome"},{"@type":"Dataset","integmet_study":"MTBLS2014","mesh_chemical_id":["https://identifiers.org/mesh:D007737","https://identifiers.org/mesh:D014364","https://identifiers.org/mesh:D005947","https://identifiers.org/mesh:D000588","https://identifiers.org/mesh:D014280"],"mesh_chemical_pubtator_kw":["kynurenine","tryptophan","glucose","amines","triglycerides"],"mesh_disease_id":["https://identifiers.org/mesh:D003327","https://identifiers.org/mesh:D003920","https://identifiers.org/mesh:D000086382","https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D050171","https://identifiers.org/mesh:D017093","https://identifiers.org/mesh:D003324"],"mesh_disease_pubtator_kw":["coronary heart disease","diabetes","SARS-CoV-2 Infection","inflammation","severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection","dyslipidemia","liver dysfunction","COVID-19","coronavirus disease 19","SARS-CoV-2 infection","coronary artery disease"],"mesh_gene_id":["https://identifiers.org/ncbigene:335"],"mesh_gene_pubtator_kw":["Apolipoprotein A1"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["patients","human"],"source_id":"https://identifiers.org/metabolights:MTBLS2014","study_findings":"Systemic signature of SARS-CoV-2 includes liver dysfunction, dyslipidaemia, diabetes, coronary heart disease risk.","study_observation":"Quantitative plasma lipoprotein, metabolic, and amino acid data","study_summary":"Metabolic effects of SARS-CoV-2 on plasma analyzed.","study_title_original":"Integrative Modeling of Quantitative Plasma Lipoprotein, Metabolic, and Amino Acid Data Reveals a Multiorgan Pathological Signature of SARS-CoV-2 Infection"},{"@type":"Dataset","integmet_study":"MTBLS2015","mesh_chemical_id":["https://identifiers.org/mesh:D002784","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["cholesterol","fatty acid","lipid"],"mesh_disease_id":["https://identifiers.org/mesh:D018805","https://identifiers.org/mesh:D012772"],"mesh_disease_pubtator_kw":["sepsis","septic shock"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:1314","https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:1280","https://identifiers.org/taxonomy:562"],"ncbi_taxonomy_pubtator_kw":["Streptococcus pyogenes","human","Staphylococcus aureus","Escherichia coli"],"source_id":"https://identifiers.org/metabolights:MTBLS2015","study_findings":null,"study_observation":"Escherichia coli assays using GC-MS and LC-MS","study_summary":"Escherichia coli assays for antibiotic resistance.","study_title_original":"Bioplatforms Australia: Antibiotic Resistant Sepsis Pathogens Framework Initiative (Escherichia coli assays)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008152","https://identifiers.org/GO:0040007","https://identifiers.org/GO:0006094","https://identifiers.org/GO:0008610","https://identifiers.org/GO:0010467","https://identifiers.org/GO:0015995","https://identifiers.org/GO:0006096"],"go_kw":["metabolism","growth","gluconeogenesis","lipid biosynthesis","gene expression","chlorophyll biosynthesis","glycolysis"],"integmet_study":"MTBLS208","mesh_chemical_id":["https://identifiers.org/mesh:D064751","https://identifiers.org/mesh:D011743","https://identifiers.org/mesh:D011073","https://identifiers.org/mesh:C030686","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D011687","https://identifiers.org/mesh:D009566","https://identifiers.org/mesh:D009584","https://identifiers.org/mesh:C031066","https://identifiers.org/mesh:D001120","https://identifiers.org/mesh:D009821","https://identifiers.org/mesh:D002244","https://identifiers.org/mesh:D014508","https://identifiers.org/mesh:D009573","https://identifiers.org/mesh:D002734"],"mesh_chemical_pubtator_kw":["ammonium","pyrimidines","polyamines","acetamide","lipid","purines","nitrate","nitrogen","formamide","arginine","oil","carbon","N","urea","nitrite","chlorophyll"],"mesh_disease_id":["https://identifiers.org/mesh:D007222"],"mesh_disease_pubtator_kw":["nitrogen"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3055"],"ncbi_taxonomy_pubtator_kw":["Chlamydomonas reinhardtii","C. reinhardtii"],"source_id":"https://identifiers.org/metabolights:MTBLS208","study_findings":"Biphasic metabolic response; increased nitrogen metabolism and lipid biosynthesis","study_observation":"Transcriptomic, proteomic, and metabolite changes under nitrogen deprivation","study_summary":"Chlamydomonas response to nitrogen deprivation analyzed.","study_title_original":"The response of Chlamydomonas reinhardtii to nitrogen deprivation: a systems biology analysis"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006629","https://identifiers.org/GO:0006006"],"go_kw":["lipid metabolism","glucose metabolism"],"integmet_study":"MTBLS2104","mesh_chemical_id":["https://identifiers.org/mesh:D010713","https://identifiers.org/mesh:D006601","https://identifiers.org/mesh:D000597"],"mesh_chemical_pubtator_kw":["phosphatidylcholines","hexose","branched chain amino acids"],"mesh_disease_id":["https://identifiers.org/mesh:D008659","https://identifiers.org/mesh:D008661","https://identifiers.org/mesh:D003920"],"mesh_disease_pubtator_kw":["metabolic diseases","inborn errors of metabolism","diabetes mellitus"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["Human","human"],"source_id":"https://identifiers.org/metabolights:MTBLS2104","study_findings":"Unique metabolite profiles in athletes; bodybuilders and endurance athletes differ from sprinters and controls.","study_observation":"Serum metabolome of athletes and controls at rest and post-exercise.","study_summary":"Metabolomics analysis of athletes' blood metabolome.","study_title_original":"Physiological extremes of the human blood metabolome: A metabolomics analysis of highly glycolytic, oxidative, and anabolic athletes"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006098"],"go_kw":["pentose-phosphate pathway"],"integmet_study":"MTBLS2108","mesh_chemical_id":["https://identifiers.org/mesh:D011743","https://identifiers.org/mesh:D011687","https://identifiers.org/mesh:D018698","https://identifiers.org/mesh:D019803","https://identifiers.org/mesh:D003404","https://identifiers.org/mesh:C010223","https://identifiers.org/mesh:D005978","https://identifiers.org/mesh:D010428","https://identifiers.org/mesh:D000255"],"mesh_chemical_pubtator_kw":["pyrimidines","purines","glutamate","glutathione disulfide","creatinine","N-methyl-adenosine","glutathione","pentose-phosphate","ATP"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["Human","human"],"source_id":"https://identifiers.org/metabolights:MTBLS2108","study_findings":"21 metabolites age-linked; ATP increased in elderly; metabolic network involvement.","study_observation":"Saliva metabolites in young and elderly volunteers.","study_summary":"Age-related changes in saliva metabolites using LC-MS.","study_title_original":"Human age-declined saliva metabolic markers determined by LC-MS"},{"@type":"Dataset","integmet_study":"MTBLS213","mesh_chemical_id":["https://identifiers.org/mesh:D005947"],"mesh_chemical_pubtator_kw":["glucose"],"mesh_disease_id":["https://identifiers.org/mesh:D003930"],"mesh_disease_pubtator_kw":["diabetic retinopathy"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["human"],"source_id":"https://identifiers.org/metabolights:MTBLS213","study_findings":"geoRge compares isotopic distributions, showing new m/z peaks and higher intensity.","study_observation":"LC/MS data from ARPE-19 cells under glucose conditions","study_summary":"geoRge detects isotope labeling in metabolomics.","study_title_original":"geoRge: A Computational Tool To Detect the Presence of Stable Isotope Labeling in LC/MS-Based Untargeted Metabolomics."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006629","https://identifiers.org/GO:0006351","https://identifiers.org/GO:0097009"],"go_kw":["lipid metabolism","transcription","energy homeostasis"],"integmet_study":"MTBLS2131","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:C006253","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:C425931"],"mesh_chemical_pubtator_kw":["lipid","Lipid","WY-14,643","fatty acid","GW501516"],"mesh_disease_id":["https://identifiers.org/mesh:D005234"],"mesh_disease_pubtator_kw":["fatty liver"],"mesh_gene_id":["https://identifiers.org/ncbigene:5465"],"mesh_gene_pubtator_kw":["Ppara","PPARA"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:8049","https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["Atlantic cod","Gadus morhua","human","mammalian"],"source_id":"https://identifiers.org/metabolights:MTBLS2131","study_findings":"Novel insights into systemic regulation of lipid metabolism in cod.","study_observation":"PPAR-mediated regulation of lipid metabolism in Atlantic cod.","study_summary":"Multi-omics study on PPAR regulation in cod.","study_title_original":"A multi-omics approach to study peroxisome proliferator-activated receptor mediated regulation of lipid metabolism in Atlantic cod (Gadus morhua)"},{"@type":"Dataset","integmet_study":"MTBLS214","mesh_chemical_id":["https://identifiers.org/mesh:D005997"],"mesh_chemical_pubtator_kw":["glycerophosphocholine"],"mesh_disease_id":["https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D015352"],"mesh_disease_pubtator_kw":["inflammation","inflammatory","dry eye","Dry eye"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["Human","human"],"source_id":"https://identifiers.org/metabolights:MTBLS214","study_findings":"Identified glycerophosphocholine synthesis and O-linked \u03b2-N-acetylglucosamine glycosylation as key pathways.","study_observation":"Hyperosmotic stress-induced changes in metabolites and proteins in IOBA-NHC cells.","study_summary":"Metabonomic and proteomic analysis of IOBA-NHC cells.","study_title_original":"Global Metabonomic and Proteomic Analysis of Human Conjunctival Epithelial Cells (IOBA-NHC) in Response to Hyperosmotic Stress"},{"@type":"Dataset","integmet_study":"MTBLS2145","mesh_chemical_id":["https://identifiers.org/mesh:D011073","https://identifiers.org/mesh:D010713","https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["polyamine","phosphatidylcholines","lipids"],"mesh_disease_id":["https://identifiers.org/mesh:D009369"],"mesh_disease_pubtator_kw":["cancerous"],"mesh_gene_id":["https://identifiers.org/ncbigene:925"],"mesh_gene_pubtator_kw":["CD8"],"source_id":"https://identifiers.org/metabolights:MTBLS2145","study_findings":"Polyamine biosynthesis remodeling; phosphatidylcholine acyl chain shift; 11000 features, 9 time points.","study_observation":"Metabolic dynamics during CD8+ T cell activation.","study_summary":"Metabolic changes in CD8+ T cell activation.","study_title_original":"Metabolic Dynamics of In Vitro CD8+ T Cell Activation."},{"@type":"Dataset","integmet_study":"MTBLS22","mesh_chemical_id":["https://identifiers.org/mesh:D012492"],"mesh_chemical_pubtator_kw":["salt"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3702","https://identifiers.org/taxonomy:4530","https://identifiers.org/taxonomy:34305"],"ncbi_taxonomy_pubtator_kw":["Arabidopsis thaliana","Oryza sativa","Lotus japonicus"],"source_id":"https://identifiers.org/metabolights:MTBLS22","study_findings":"Conserved metabolic response involves amino acids and organic acids balance change.","study_observation":"Metabolic responses to long-term salt stress in Arabidopsis thaliana.","study_summary":"Metabolic responses to salt stress in plants.","study_title_original":"Mining for metabolic responses to long-term salt stress: a case study on Arabidopsis thaliana Col-0 (A)"},{"@type":"Dataset","integmet_study":"MTBLS226","mesh_chemical_id":["https://identifiers.org/mesh:D024482","https://identifiers.org/mesh:C005448"],"mesh_chemical_pubtator_kw":["vitamin K2","Phosphoethanolamine","menaquinone","phosphoethanolamine"],"mesh_disease_id":["https://identifiers.org/mesh:D054198","https://identifiers.org/mesh:D010051","https://identifiers.org/mesh:D009369","https://identifiers.org/mesh:D007938"],"mesh_disease_pubtator_kw":["acute lymphoblastic leukemia","ovarian cancer","cancer","leukemia"],"source_id":"https://identifiers.org/metabolights:MTBLS226","study_findings":"Phosphoethanolamine increase linked to menaquinone-induced apoptosis.","study_observation":"Metabolic impacts of menaquinone on Jurkat leukemia cells.","study_summary":"Menaquinone affects leukemia cell metabolism.","study_title_original":"Metabolomics identifies the intersection of phosphoethanolamine with menaquinone- triggered apoptosis in an in vitro model of leukemia"},{"@type":"Dataset","integmet_study":"MTBLS2262","mesh_chemical_id":["https://identifiers.org/mesh:D013256","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D000438","https://identifiers.org/mesh:D010129"],"mesh_chemical_pubtator_kw":["steroid","lipid","alcohol","lipids","4-Aminobenzoic acid"],"mesh_disease_id":["https://identifiers.org/mesh:D016114","https://identifiers.org/mesh:D052439","https://identifiers.org/mesh:D000070603","https://identifiers.org/mesh:D056486","https://identifiers.org/mesh:D000076042"],"mesh_disease_pubtator_kw":["SONFH","lipid metabolism disorder","osteonecrosis of the femoral head","traumatic-induced ONFH","AONFH","TONFH"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["human","patients"],"source_id":"https://identifiers.org/metabolights:MTBLS2262","study_findings":"Altered lipid signatures and biomarkers identified in ONFH subgroups.","study_observation":"Plasma lipidomics in ONFH patients and healthy controls.","study_summary":"Plasma lipidomics in osteonecrosis of the femoral head.","study_title_original":"Global analysis of plasma lipidomics reveals altered lipid signatures in patients with osteonecrosis of the femoral head"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0016310","https://identifiers.org/GO:0006865","https://identifiers.org/GO:0005739","https://identifiers.org/GO:0006412","https://identifiers.org/GO:0006099"],"go_kw":["phosphorylation","amino acid transport","mitochondria","protein synthesis","tricarboxylic acid (TCA) cycle"],"integmet_study":"MTBLS2279","mesh_chemical_id":["https://identifiers.org/mesh:D014233","https://identifiers.org/mesh:D008315","https://identifiers.org/mesh:D005978"],"mesh_chemical_pubtator_kw":["tricarboxylic acid","malondialdehyde","GSH"],"mesh_gene_id":["https://identifiers.org/ncbigene:2028","https://identifiers.org/ncbigene:6510","https://identifiers.org/ncbigene:213","https://identifiers.org/ncbigene:6541","https://identifiers.org/ncbigene:6505","https://identifiers.org/ncbigene:1374","https://identifiers.org/ncbigene:2729","https://identifiers.org/ncbigene:6564","https://identifiers.org/ncbigene:290","https://identifiers.org/ncbigene:340024","https://identifiers.org/ncbigene:2475","https://identifiers.org/ncbigene:6198"],"mesh_gene_pubtator_kw":["APA","ASCT2","albumin","CAT1","EAAC1","CPT1","GCLC","Pept1","APN","B0AT1","mTOR","p70S6K"],"source_id":"https://identifiers.org/metabolights:MTBLS2279","study_findings":"LF affects protein synthesis, energy production, antioxidative capacity in piglet liver.","study_observation":"Effects of lactoferrin on liver metabolism in piglets.","study_summary":"Lactoferrin affects piglet liver metabolism.","study_title_original":"Metabolomic profiling reveals the effects of early-life lactoferrin intervention on protein synthesis, energy production and antioxidative capacity in the liver of suckling piglets"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0007165"],"go_kw":["signaling pathways"],"integmet_study":"MTBLS23","mesh_chemical_id":["https://identifiers.org/mesh:D008070","https://identifiers.org/mesh:D014364","https://identifiers.org/mesh:D002762","https://identifiers.org/mesh:D005947","https://identifiers.org/mesh:D001120"],"mesh_chemical_pubtator_kw":["LPS","tryptophan","vitamin D3","glucose","arginine"],"mesh_disease_id":["https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D009369"],"mesh_disease_pubtator_kw":["inflammation","cancer"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["human"],"source_id":"https://identifiers.org/metabolights:MTBLS23","study_findings":"Metabolism regulates macrophage activation more than anticipated.","study_observation":"Metabolic features critical for macrophage activation.","study_summary":"Metabolic analysis of macrophage activation using multi-omics.","study_title_original":"Model-driven multi-omic data analysis elucidates metabolic immunomodulators of macrophage activation"},{"@type":"Dataset","integmet_study":"MTBLS2305","mesh_chemical_id":["https://identifiers.org/mesh:D064751","https://identifiers.org/mesh:D001565","https://identifiers.org/mesh:C030298","https://identifiers.org/mesh:D003374","https://identifiers.org/mesh:D005419","https://identifiers.org/mesh:C038619","https://identifiers.org/mesh:C031345","https://identifiers.org/mesh:D020156","https://identifiers.org/mesh:D009584","https://identifiers.org/mesh:D002241","https://identifiers.org/mesh:C000631908","https://identifiers.org/mesh:C532883","https://identifiers.org/mesh:D009566"],"mesh_chemical_pubtator_kw":["ammonium","benzoates","malate","coumarins","flavonoids","NO3-","Pipecolic acid","salicylic acid","nitrogen","N","Ammonium","carbohydrates","N-hydroxy-pipecolic acid","jasmonoyl-isoleucine","nitrate"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:80863"],"ncbi_taxonomy_pubtator_kw":["Populus x canescens"],"source_id":"https://identifiers.org/metabolights:MTBLS2305","study_findings":"Nitrogen modulates xylem sap composition and poplar defenses.","study_observation":"Xylem sap metabolome, proteome, and poplar leaf defenses","study_summary":"Nitrogen affects poplar xylem sap metabolome and proteome.","study_title_original":"Multi\u2010omics analysis of xylem sap uncovers dynamic modulation of poplar defenses by ammonium and nitrate"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006650"],"go_kw":["glycerophospholipid metabolism"],"integmet_study":"MTBLS2311","mesh_chemical_id":["https://identifiers.org/mesh:D015742","https://identifiers.org/mesh:D020404"],"mesh_chemical_pubtator_kw":["propofol","glycerophospholipid","Propofol"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["patients"],"source_id":"https://identifiers.org/metabolights:MTBLS2311","study_findings":"Glycerophospholipid metabolism pathway influences propofol sensitivity; six biomarkers predict responsiveness.","study_observation":"Serum metabolic profiling in female patients undergoing hysteroscopic surgery.","study_summary":"Serum metabolites predict propofol responsiveness in females.","study_title_original":"UPLC-MS-Based Serum Metabolic Profiling Reveals Potential Biomarkers for Predicting Propofol Responsiveness in Females"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009693","https://identifiers.org/GO:0009695","https://identifiers.org/GO:0019761","https://identifiers.org/GO:0009697"],"go_kw":["ethylene biosynthesis","jasmonic acid biosynthesis","glucosinolate synthesis","salicylic acid biosynthesis"],"integmet_study":"MTBLS2317","mesh_chemical_id":["https://identifiers.org/mesh:C036216","https://identifiers.org/mesh:D006639","https://identifiers.org/mesh:D013912","https://identifiers.org/mesh:C011006","https://identifiers.org/mesh:D013395","https://identifiers.org/mesh:D014238","https://identifiers.org/mesh:D014633","https://identifiers.org/mesh:D020156","https://identifiers.org/mesh:D013213","https://identifiers.org/mesh:D000255","https://identifiers.org/mesh:D010428","https://identifiers.org/mesh:D010649","https://identifiers.org/mesh:D002241","https://identifiers.org/mesh:D005961","https://identifiers.org/mesh:D007532","https://identifiers.org/mesh:D008715","https://identifiers.org/mesh:D002244"],"mesh_chemical_pubtator_kw":["ethylene","histidine","threonine","JA","sucrose","jasmonic acid","TCA","valine","Salicylic acid","starch","ATP","ET","pentose phosphate","phenylalanine","carbohydrate","glucosinolate","isoleucine","SA","methionine","carbon","L-methionine"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:36774"],"ncbi_taxonomy_pubtator_kw":["broccoli"],"source_id":"https://identifiers.org/metabolights:MTBLS2317","study_findings":"399 and 266 DEPs identified; SA, ET, JA biosynthesis affected by wounding.","study_observation":"Wound-response in broccoli using TMT-based quantitative proteomic analysis.","study_summary":"Proteomic analysis of wounding response in broccoli.","study_title_original":"Proteomic analysis validates previous findings on wounding-responsive plant hormone signaling and primary metabolism contributing to the biosynthesis of secondary metabolites based on metabolomic analysis in harvested broccoli (Brassica oleracea L. var. italica)"},{"@type":"Dataset","integmet_study":"MTBLS2322","mesh_chemical_id":["https://identifiers.org/mesh:D002784","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["cholesterol","fatty acid","lipid"],"mesh_disease_id":["https://identifiers.org/mesh:D018805","https://identifiers.org/mesh:D012772"],"mesh_disease_pubtator_kw":["sepsis","septic shock"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:1314","https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:1280","https://identifiers.org/taxonomy:562"],"ncbi_taxonomy_pubtator_kw":["Streptococcus pyogenes","human","Staphylococcus aureus","Escherichia coli"],"source_id":"https://identifiers.org/metabolights:MTBLS2322","study_findings":null,"study_observation":"Klebsiella pneumoniae complex using GC-MS and LC-MS assays","study_summary":"Klebsiella pneumoniae assays for antibiotic resistance.","study_title_original":"Bioplatforms Australia: Antibiotic Resistant Sepsis Pathogens Framework Initiative (Klebsiella pneumoniae assays)"},{"@type":"Dataset","integmet_study":"MTBLS2323","mesh_chemical_id":["https://identifiers.org/mesh:D002784","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["cholesterol","fatty acid","lipid"],"mesh_disease_id":["https://identifiers.org/mesh:D018805","https://identifiers.org/mesh:D012772"],"mesh_disease_pubtator_kw":["sepsis","septic shock"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:1314","https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:1280","https://identifiers.org/taxonomy:562"],"ncbi_taxonomy_pubtator_kw":["Streptococcus pyogenes","human","Staphylococcus aureus","Escherichia coli"],"source_id":"https://identifiers.org/metabolights:MTBLS2323","study_findings":null,"study_observation":"Streptococcus pneumoniae assays using GC-MS and LC-MS.","study_summary":"Streptococcus pneumoniae assays for antibiotic resistance.","study_title_original":"Bioplatforms Australia: Antibiotic Resistant Sepsis Pathogens Framework Initiative (Streptococcus pneumoniae assays)"},{"@type":"Dataset","integmet_study":"MTBLS2324","mesh_chemical_id":["https://identifiers.org/mesh:D002784","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["cholesterol","fatty acid","lipid"],"mesh_disease_id":["https://identifiers.org/mesh:D018805","https://identifiers.org/mesh:D012772"],"mesh_disease_pubtator_kw":["sepsis","septic shock"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:1314","https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:1280","https://identifiers.org/taxonomy:562"],"ncbi_taxonomy_pubtator_kw":["Streptococcus pyogenes","human","Staphylococcus aureus","Escherichia coli"],"source_id":"https://identifiers.org/metabolights:MTBLS2324","study_findings":null,"study_observation":"Streptococcus pyogenes assays using GC-MS and LC-MS.","study_summary":"Streptococcus pyogenes assays for antibiotic resistance.","study_title_original":"Bioplatforms Australia: Antibiotic Resistant Sepsis Pathogens Framework Initiative (Streptococcus pyogenes assays)"},{"@type":"Dataset","integmet_study":"MTBLS2330","source_id":"https://identifiers.org/metabolights:MTBLS2330","study_findings":"Water stress increases anthocyanins, monoterpenes, and C13-norisoprenoids in wines.","study_observation":"Impact of water deficit on wine secondary metabolites.","study_summary":"Drought impacts on wine secondary metabolites.","study_title_original":"From grape berries to wines: drought impacts on key secondary metabolites"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005737","https://identifiers.org/GO:0008152","https://identifiers.org/GO:0009627","https://identifiers.org/GO:0040007","https://identifiers.org/GO:0009058","https://identifiers.org/GO:0070085"],"go_kw":["cytoplasm","metabolism","systemic acquired resistance","growth","biosynthesis","glycosylation"],"integmet_study":"MTBLS2334","mesh_chemical_id":["https://identifiers.org/mesh:C000631908","https://identifiers.org/mesh:D020156"],"mesh_chemical_pubtator_kw":["N-hydroxy-pipecolic acid","SA","Salicylic acid","NHP"],"mesh_disease_id":["https://identifiers.org/mesh:D011552","https://identifiers.org/mesh:D063730"],"mesh_disease_pubtator_kw":["Pseudomonas infection","systemic acquired resistance","SAR"],"mesh_gene_id":["https://identifiers.org/ncbigene:820307","https://identifiers.org/ncbigene:838508"],"mesh_gene_pubtator_kw":["ugt76b1","FMO1","UGT76B1","FLAVIN-DEPENDENT MONOOXYGENASE 1"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3702"],"ncbi_taxonomy_pubtator_kw":["Arabidopsis thaliana"],"source_id":"https://identifiers.org/metabolights:MTBLS2334","study_findings":"UGT76B1 modifies NHP, affecting plant growth-defense balance and disease resistance.","study_observation":"UGT76B1 glycosyltransferase activity and its effects on NHP and plant immunity.","study_summary":"UGT76B1 modulates NHP and plant immunity.","study_title_original":"The glycosyltransferase UGT76B1 modulates N-hydroxy-pipecolic acid homeostasis and plant immunity."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008152","https://identifiers.org/GO:0009058","https://identifiers.org/GO:0006012","https://identifiers.org/GO:0006810","https://identifiers.org/GO:0043651","https://identifiers.org/GO:0009813"],"go_kw":["metabolism","synthesis","galactose metabolism","transport","linoleic acid metabolism","flavonoid biosynthesis"],"integmet_study":"MTBLS2384","mesh_chemical_id":["https://identifiers.org/mesh:D013481","https://identifiers.org/mesh:D008315","https://identifiers.org/mesh:D005690","https://identifiers.org/mesh:D005419","https://identifiers.org/mesh:D006861","https://identifiers.org/mesh:D019787","https://identifiers.org/mesh:D014315","https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["O2-","MDA","malondialdehyde","galactose","superoxide anion","flavonoid","hydrogen peroxide","H2O2","linoleic acid","triterpenoids","lipids","flavonoids"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3750"],"ncbi_taxonomy_pubtator_kw":["apple"],"source_id":"https://identifiers.org/metabolights:MTBLS2384","study_findings":"Bagging alters microenvironment, cell structure, lipid peroxidation, flavonoids, and triterpenoids, causing peel browning.","study_observation":"Browning of apple peel in bagged 'Rui Xue' apples.","study_summary":"Metabolomic study on apple peel browning due to bagging.","study_title_original":"Metabolomic Insights into the Browning of the Peel of Bagging \u2018Rui Xue\u2019 Apple Fruit"},{"@type":"Dataset","integmet_study":"MTBLS2401","source_id":"https://identifiers.org/metabolights:MTBLS2401","study_findings":"MeJa increased anthocyanins and hydroxycinnamate glucosides; new biomarkers identified.","study_observation":"Metabolomic profile changes in grape juice due to MeJa treatment.","study_summary":"MeJa affects grape juice metabolomic profile.","study_title_original":"Investigation of Brazilian grape juice metabolomic profile changes caused by methyl jasmonate pre-harvest treatment"},{"@type":"Dataset","integmet_study":"MTBLS2402","ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["Human","human"],"source_id":"https://identifiers.org/metabolights:MTBLS2402","study_findings":"Workflow determines 91 metabolite molecular formulas for 22 pesticides.","study_observation":"Pesticide metabolites in human biomonitoring.","study_summary":"High-throughput pesticide metabolite screening in human biomonitoring.","study_title_original":"Improving the Screening Analysis of Pesticide Metabolites in Human Biomonitoring by Combining High-Throughput <i>In Vitro</i> Incubation and Automated LC-HRMS Data Processing."},{"@type":"Dataset","integmet_study":"MTBLS2406","mesh_chemical_id":["https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["lipid"],"mesh_disease_id":["https://identifiers.org/mesh:D056486","https://identifiers.org/mesh:D008113","https://identifiers.org/mesh:D007674","https://identifiers.org/mesh:D009369"],"mesh_disease_pubtator_kw":["liver damage","tumours of the liver","kidneys","tumour"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9823"],"ncbi_taxonomy_pubtator_kw":["pigs"],"source_id":"https://identifiers.org/metabolights:MTBLS2406","study_findings":"nsPEF causes fluctuations in liver function indicators post-ablation.","study_observation":"Serum metabolic spectrum and gut microbiota in pigs.","study_summary":"nsPEF impacts serum metabolism and gut microbiota.","study_title_original":"Multi-Omics Analysis Reveals Disturbance of Nanosecond Pulsed Electric Field in the Serum Metabolic Spectrum and Gut Microbiota"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006954","https://identifiers.org/GO:0006915"],"go_kw":["inflammation","apoptosis"],"integmet_study":"MTBLS243","mesh_chemical_id":["https://identifiers.org/mesh:D008070","https://identifiers.org/mesh:D054883"],"mesh_chemical_pubtator_kw":["lipopolysaccharide","Oxylipin","LPS","oxylipin","Oxylipins","oxylipins"],"mesh_disease_id":["https://identifiers.org/mesh:D001169","https://identifiers.org/mesh:D001168","https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D001172"],"mesh_disease_pubtator_kw":["CIA","Arthritis","inflammation","arthritis","RA","rheumatoid arthritis"],"mesh_gene_id":["https://identifiers.org/ncbigene:18033","https://identifiers.org/ncbigene:19016"],"mesh_gene_pubtator_kw":["NF-kappaB","PPAR-gamma"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mice","Mice"],"source_id":"https://identifiers.org/metabolights:MTBLS243","study_findings":"10 oxylipins dysregulated in CIA mice; associated with inflammation and apoptosis dysregulation.","study_observation":"Differences in oxylipin levels between CIA and control mice.","study_summary":"Oxylipin changes in CIA and control mice.","study_title_original":"Collagen induced arthritis in dba/1j mice associates with oxylipin changes in plasma"},{"@type":"Dataset","integmet_study":"MTBLS2457","mesh_disease_id":["https://identifiers.org/mesh:D001927","https://identifiers.org/mesh:D019636"],"mesh_disease_pubtator_kw":["brain diseases","neurodegenerative diseases"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mouse"],"source_id":"https://identifiers.org/metabolights:MTBLS2457","study_findings":"Region-specific sterol lipid metabolism differences affected by aging.","study_observation":"Spatially and temporally distinctive sterol lipids in mouse brain.","study_summary":"Ion mobility sterolomics in aging mouse brain.","study_title_original":"Ion Mobility-based Sterolomics Reveals Spatially and Temporally Distinctive Sterol Lipids in Mouse Brain"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008152"],"go_kw":["metabolism"],"integmet_study":"MTBLS2559","mesh_chemical_id":["https://identifiers.org/mesh:C006235"],"mesh_chemical_pubtator_kw":["sinefungin"],"mesh_disease_id":["https://identifiers.org/mesh:D014353","https://identifiers.org/mesh:D058069"],"mesh_disease_pubtator_kw":["HAT","neglected tropical disease","Human African Trypanosomiasis"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:5691"],"ncbi_taxonomy_pubtator_kw":["Trypanosoma brucei"],"source_id":"https://identifiers.org/metabolights:MTBLS2559","study_findings":"AcoR cells show procyclic-like transcriptome; no CPSF3 transcript changes.","study_observation":"Transcriptional differentiation in acoziborole-resistant Trypanosoma brucei.","study_summary":"Acoziborole resistance in Trypanosoma brucei studied.","study_title_original":"Transcriptional differentiation of Trypanosoma brucei during in vitro acquisition of resistance to acoziborole"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006952","https://identifiers.org/GO:0044403","https://identifiers.org/GO:0015979","https://identifiers.org/GO:0008152"],"go_kw":["defense response","symbiosis","photosynthesis","metabolism"],"integmet_study":"MTBLS2597","mesh_chemical_id":["https://identifiers.org/mesh:D000073893","https://identifiers.org/mesh:D009584"],"mesh_chemical_pubtator_kw":["sugars","N"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:187797","https://identifiers.org/taxonomy:29883","https://identifiers.org/taxonomy:3694","https://identifiers.org/taxonomy:38727","https://identifiers.org/taxonomy:3696"],"ncbi_taxonomy_pubtator_kw":["L. bicolor","Laccaria bicolor","Populus trichocarpa","switchgrass","Populus deltoides"],"source_id":"https://identifiers.org/metabolights:MTBLS2597","study_findings":"PtLecRLK1 enables L. bicolor colonization, altering metabolite profiles.","study_observation":"Colonization of transgenic switchgrass roots by L. bicolor.","study_summary":"Engineering mycorrhization in switchgrass via PtLecRLK1.","study_title_original":"Towards engineering ectomycorrhization into switchgrass bioenergy crops via a lectin receptor\u2010like kinase"},{"@type":"Dataset","integmet_study":"MTBLS2630","mesh_chemical_id":["https://identifiers.org/mesh:D002244"],"mesh_chemical_pubtator_kw":["carbon"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:562"],"ncbi_taxonomy_pubtator_kw":["Escherichia coli"],"source_id":"https://identifiers.org/metabolights:MTBLS2630","study_findings":"Lysate preparation affects protein yield; metabolic activity is resilient.","study_observation":"Temporal metabolic changes in CFE systems and components.","study_summary":"Metabolic dynamics in cell-free systems studied.","study_title_original":"Metabolic Dynamics in <i>Escherichia coli</i>-Based Cell-Free Systems"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009058","https://identifiers.org/GO:0008152"],"go_kw":["biosynthesis","metabolism"],"integmet_study":"MTBLS2688","mesh_chemical_id":["https://identifiers.org/mesh:D011392","https://identifiers.org/mesh:D007532","https://identifiers.org/mesh:D000438","https://identifiers.org/mesh:D007930","https://identifiers.org/mesh:D001120"],"mesh_chemical_pubtator_kw":["proline","isoleucine","alcohol","leucine","arginine","Alcohol"],"mesh_disease_id":["https://identifiers.org/mesh:D000437","https://identifiers.org/mesh:D001523","https://identifiers.org/mesh:D009358","https://identifiers.org/mesh:D020270","https://identifiers.org/mesh:D064806","https://identifiers.org/mesh:C535298"],"mesh_disease_pubtator_kw":["alcohol abuse","psychiatric disorders","neurotransmitter disorders","Alcohol Withdrawal Syndrome","microbiota dysbiosis","alcoholism","gut leakiness","alcohol dependence"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10116"],"ncbi_taxonomy_pubtator_kw":["rat","Rats","rats"],"source_id":"https://identifiers.org/metabolights:MTBLS2688","study_findings":"Alcohol alters gut microbiota, increases permeability, affects serum metabolites and neurotransmitter homeostasis.","study_observation":"Gut microbiota, intestinal permeability, serum metabolic profile in alcohol-dependent rats.","study_summary":"Alcohol affects gut microbiota and serum metabolites.","study_title_original":"Integrated Analyses of the Gut Microbiota, Intestinal Permeability and Serum Metabolome Phenotype in Rats with Alcohol Withdrawal Syndrome"},{"@type":"Dataset","integmet_study":"MTBLS270","source_id":"https://identifiers.org/metabolights:MTBLS270","study_findings":"Liquid chromatography method developed for sesquiterpene lactones; sample preparation biases identified.","study_observation":"Sesquiterpene lactones in Belgian endive.","study_summary":"New method for sesquiterpene oxalates in Belgian endive.","study_title_original":"A new method for quantitative determination of bitter components of Belgian endive, with a focus on sesquiterpene oxalates."},{"@type":"Dataset","integmet_study":"MTBLS2721","mesh_chemical_id":["https://identifiers.org/mesh:D015058","https://identifiers.org/mesh:D013256"],"mesh_chemical_pubtator_kw":["alpha-naphthyl-isothiocyanate","steroid hormone"],"mesh_disease_id":["https://identifiers.org/mesh:D017093","https://identifiers.org/mesh:D002779","https://identifiers.org/mesh:D000795"],"mesh_disease_pubtator_kw":["liver injury","cholestatic","cholestasis","ANIT","Cholestasis"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10116","https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["rat","patients","Rat"],"source_id":"https://identifiers.org/metabolights:MTBLS2721","study_findings":"ZYP improves biochemical parameters, gut microbiota, and fecal metabolites in cholestasis rats.","study_observation":"Cholestasis rat model, fecal metabolism, microbial diversity.","study_summary":"Zhuyu Pill effects on cholestasis rat model.","study_title_original":"Efficacy of Zhuyu Pill Intervention in a Cholestasis Rat Model: Mutual Effects on Fecal Metabolism and Microbial Diversity"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006633","https://identifiers.org/GO:0019722","https://identifiers.org/GO:0016042","https://identifiers.org/GO:0006695","https://identifiers.org/GO:0019395"],"go_kw":["fatty acid biosynthesis","calcium signaling","lipolysis","cholesterol synthesis","fatty acid oxidation"],"integmet_study":"MTBLS2737","mesh_chemical_id":["https://identifiers.org/mesh:C031183","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D015525","https://identifiers.org/mesh:D005231"],"mesh_chemical_pubtator_kw":["C18:0","FAs","fatty acids","n-3 PUFAs","polyunsaturated fatty acids","PUFAs"],"mesh_disease_id":["https://identifiers.org/mesh:D063806"],"mesh_disease_pubtator_kw":["tenderness"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:30521"],"ncbi_taxonomy_pubtator_kw":["yaks"],"source_id":"https://identifiers.org/metabolights:MTBLS2737","study_findings":"Female yaks have higher fat synthesis and transport, affecting meat quality.","study_observation":"Fat deposition in male and female yaks.","study_summary":"Fat deposition and meat quality in yaks.","study_title_original":"Fat Deposition in the Muscle of Female and Male Yak and the Correlation of Yak Meat Quality with Fat"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0014889","https://identifiers.org/GO:0005764","https://identifiers.org/GO:0006914"],"go_kw":["muscle atrophy","lysosome","autophagy"],"integmet_study":"MTBLS2771","mesh_chemical_id":["https://identifiers.org/mesh:D000073893","https://identifiers.org/mesh:C000615229"],"mesh_chemical_pubtator_kw":["sugars","Carbon 13"],"mesh_disease_id":["https://identifiers.org/mesh:D000092124","https://identifiers.org/mesh:D019282","https://identifiers.org/mesh:D009133","https://identifiers.org/mesh:D009369","https://identifiers.org/mesh:D016388","https://identifiers.org/mesh:D003643"],"mesh_disease_pubtator_kw":["organ wasting","wasting","muscle atrophy","tumors","loss","tumor","death","malignant tumor"],"mesh_gene_id":["https://identifiers.org/ncbigene:41140","https://identifiers.org/ncbigene:44448"],"mesh_gene_pubtator_kw":["RasV12","scrib"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:7227"],"ncbi_taxonomy_pubtator_kw":["Drosophila melanogaster"],"source_id":"https://identifiers.org/metabolights:MTBLS2771","study_findings":"Host autophagy mediates organ wasting and nutrient mobilization for tumor growth.","study_observation":"Systemic organ wasting and nutrient mobilization in Drosophila melanogaster tumor model.","study_summary":"Autophagy supports tumor growth via organ wasting.","study_title_original":"Host autophagy mediates organ wasting and nutrient mobilization for tumor growth."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0007283"],"go_kw":["spermatogenesis"],"integmet_study":"MTBLS2782","mesh_chemical_id":["https://identifiers.org/mesh:D002066","https://identifiers.org/mesh:D008244","https://identifiers.org/mesh:C006646","https://identifiers.org/mesh:D001120","https://identifiers.org/mesh:C546035","https://identifiers.org/mesh:C078814","https://identifiers.org/mesh:D005998","https://identifiers.org/mesh:D002331"],"mesh_chemical_pubtator_kw":["Busulfan","lysophosphatidylcholine","busulfan","BA.1","BA1","L-arginine","cyanidin 3-O-galactoside","anandamide","glycine","LysoPC","L-carnitine"],"mesh_disease_id":["https://identifiers.org/mesh:D005058","https://identifiers.org/mesh:D009369"],"mesh_disease_pubtator_kw":["male reproductive system dysfunction","cancer","Male Reproductive System Dysfunction"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mice","Mice"],"source_id":"https://identifiers.org/metabolights:MTBLS2782","study_findings":"RAAE ameliorates busulfan-induced dysfunction, improves sperm metrics, alters metabolites.","study_observation":"Effect of RAAE on busulfan-treated mice reproductive system.","study_summary":"RAAE improves male reproductive dysfunction in mice.","study_title_original":"Red-Fleshed Apple Anthocyanin Extracts Attenuate Male Reproductive System Dysfunction Caused by Busulfan in Mice (Mouse blood plasma; UPLC-MS/MS assays)"},{"@type":"Dataset","integmet_study":"MTBLS279","mesh_chemical_id":["https://identifiers.org/mesh:D009243","https://identifiers.org/mesh:D002956","https://identifiers.org/mesh:C029620","https://identifiers.org/mesh:D010713","https://identifiers.org/mesh:D009952","https://identifiers.org/mesh:D010955","https://identifiers.org/mesh:D020404","https://identifiers.org/mesh:D014280","https://identifiers.org/mesh:D014508"],"mesh_chemical_pubtator_kw":["NADH","citrulline","glycerol-3-phosphate","choline glycerophospholipids","ornithine","plasmalogen","glycerophospholipid","triglycerides","urea"],"mesh_disease_id":["https://identifiers.org/mesh:D006509","https://identifiers.org/mesh:D008107","https://identifiers.org/mesh:D000088562","https://identifiers.org/mesh:D019694"],"mesh_disease_pubtator_kw":["HBV infection","liver diseases","chronically infected","chronic hepatitis B."],"mesh_gene_id":["https://identifiers.org/ncbigene:2875"],"mesh_gene_pubtator_kw":["alanine aminotransferase"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10407","https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["HBV","patient","hepatitis B virus"],"source_id":"https://identifiers.org/metabolights:MTBLS279","study_findings":"Metabolic dysregulation linked to HBV replication and urea cycle.","study_observation":"Metabolic processes during chronic HBV infection phases.","study_summary":"Metabolic progression in chronic hepatitis B phases.","study_title_original":"Metabolic characterization of the natural progression of chronic hepatitis B (Lipid assays)."},{"@type":"Dataset","integmet_study":"MTBLS280","mesh_chemical_id":["https://identifiers.org/mesh:D009243","https://identifiers.org/mesh:D002956","https://identifiers.org/mesh:C029620","https://identifiers.org/mesh:D010713","https://identifiers.org/mesh:D009952","https://identifiers.org/mesh:D010955","https://identifiers.org/mesh:D020404","https://identifiers.org/mesh:D014280","https://identifiers.org/mesh:D014508"],"mesh_chemical_pubtator_kw":["NADH","citrulline","glycerol-3-phosphate","choline glycerophospholipids","ornithine","plasmalogen","glycerophospholipid","triglycerides","urea"],"mesh_disease_id":["https://identifiers.org/mesh:D006509","https://identifiers.org/mesh:D008107","https://identifiers.org/mesh:D000088562","https://identifiers.org/mesh:D019694"],"mesh_disease_pubtator_kw":["HBV infection","liver diseases","chronically infected","chronic hepatitis B."],"mesh_gene_id":["https://identifiers.org/ncbigene:2875"],"mesh_gene_pubtator_kw":["alanine aminotransferase"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10407","https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["HBV","patient","hepatitis B virus"],"source_id":"https://identifiers.org/metabolights:MTBLS280","study_findings":"Metabolic dysregulation linked to HBV replication and urea cycle dysregulation.","study_observation":"Metabolic processes during chronic HBV infection phases.","study_summary":"Metabolic progression in chronic hepatitis B phases.","study_title_original":"Metabolic characterization of the natural progression of chronic hepatitis B (Biogenic amine and Acyl-carnitine assays)."},{"@type":"Dataset","integmet_study":"MTBLS2801","source_id":"https://identifiers.org/metabolights:MTBLS2801","study_findings":"BP-EVs are biocompatible, non-cytotoxic, and have organ targeting capacity.","study_observation":"Use of food industry byproducts as a source of extracellular vesicles.","study_summary":"Food byproducts as biocompatible extracellular vesicles source.","study_title_original":"Industrial by-products as a novel circular source of biocompatible extracellular vesicles"},{"@type":"Dataset","integmet_study":"MTBLS2825","mesh_chemical_id":["https://identifiers.org/mesh:D001639","https://identifiers.org/mesh:D002245","https://identifiers.org/mesh:D014994","https://identifiers.org/mesh:D000079","https://identifiers.org/mesh:D009584","https://identifiers.org/mesh:D000073893","https://identifiers.org/mesh:D005947","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D005944","https://identifiers.org/mesh:D010428","https://identifiers.org/mesh:D013395","https://identifiers.org/mesh:D002244"],"mesh_chemical_pubtator_kw":["bicarbonate","carbon dioxide","xylose","acetaldehyde","nitrogen","sugar","glucose","fatty acids","glucosamine","pentose phosphate","sucrose","carbon","CO2"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:32046"],"ncbi_taxonomy_pubtator_kw":["Synechococcus elongatus","S. elongatus"],"source_id":"https://identifiers.org/metabolights:MTBLS2825","study_findings":"Regulation of metabolism, photosynthesis, and transport varies with sugar utilization.","study_observation":"Transcriptomics and metabolomics of engineered Synechococcus elongatus during photomixotrophic growth.","study_summary":"Metabolic mechanisms in engineered Synechococcus elongatus studied.","study_title_original":"Transcriptomics and metabolomics of engineered Synechococcus elongatus during photomixotrophic growth"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005737","https://identifiers.org/GO:0016310","https://identifiers.org/GO:0061908","https://identifiers.org/GO:0061909","https://identifiers.org/GO:0006954","https://identifiers.org/GO:0006914","https://identifiers.org/GO:0044237","https://identifiers.org/GO:0006955","https://identifiers.org/GO:0005776"],"go_kw":["cytoplasm","phosphorylation","phagophore","autophagosome-lysosome fusion","inflammatory response","autophagy","cellular metabolism","immune response","autophagosome"],"integmet_study":"MTBLS2840","mesh_chemical_id":["https://identifiers.org/mesh:D013096","https://identifiers.org/mesh:C548887","https://identifiers.org/mesh:D013095","https://identifiers.org/mesh:D009534"],"mesh_chemical_pubtator_kw":["spermine","MK-2206","spermidine","niclosamide"],"mesh_disease_id":["https://identifiers.org/mesh:D001327","https://identifiers.org/mesh:D000086382","https://identifiers.org/mesh:D000094024","https://identifiers.org/mesh:D007249"],"mesh_disease_pubtator_kw":["autoimmune","SARS-CoV-2","SARS-CoV-2-infected","COVID-19","long COVID-19","inflammatory"],"mesh_gene_id":["https://identifiers.org/ncbigene:7249","https://identifiers.org/ncbigene:23636","https://identifiers.org/ncbigene:207","https://identifiers.org/ncbigene:5562","https://identifiers.org/ncbigene:5289","https://identifiers.org/ncbigene:8408","https://identifiers.org/ncbigene:6502","https://identifiers.org/ncbigene:8678","https://identifiers.org/ncbigene:22863"],"mesh_gene_pubtator_kw":["TSC2","P62","AKT1","AMPK","VPS34","ULK1","SKP2","BECN1","ATG14"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10034","https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:2697049"],"ncbi_taxonomy_pubtator_kw":["hamster","human","patients","patient","SARS-CoV-2"],"source_id":"https://identifiers.org/metabolights:MTBLS2840","study_findings":"Autophagy-inducing compounds inhibit SARS-CoV-2 propagation in vitro.","study_observation":"SARS-CoV-2 modulates metabolism and reduces autophagy in cells.","study_summary":"SARS-CoV-2 affects metabolism and autophagy.","study_title_original":"SARS-CoV-2-reprogrammed metabolism and autophagy reduction uncover host-targeting antivirals"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009812"],"go_kw":["flavonoid metabolism"],"integmet_study":"MTBLS2870","mesh_chemical_id":["https://identifiers.org/mesh:D005419","https://identifiers.org/mesh:D011073","https://identifiers.org/mesh:D003583","https://identifiers.org/mesh:D009584","https://identifiers.org/mesh:D047630","https://identifiers.org/mesh:D002392"],"mesh_chemical_pubtator_kw":["flavonoid","polyamine","cytokinin","nitrogen","depsipeptide","catechin","flavonoids","epicatechin"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:746518","https://identifiers.org/taxonomy:180039","https://identifiers.org/taxonomy:13345"],"ncbi_taxonomy_pubtator_kw":["A. crenata","Psychotria punctata","Ardisia crenata"],"source_id":"https://identifiers.org/metabolights:MTBLS2870","study_findings":"Abiotic stress resilience, enhanced nitrogen patterns, polyamine levels, cytokinin, REDOX pathways, secondary metabolites, flavonoid metabolism.","study_observation":"Leaf and leaf nodule metabolism and functions in Ardisia crenata and Psychotria punctata.","study_summary":"Metabolomics of leaf nodules in two plant species.","study_title_original":"Dissecting Metabolism of Leaf Nodules in <i>Ardisia crenata</i> and <i>Psychotria punctata</i>."},{"@type":"Dataset","integmet_study":"MTBLS2871","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D006571"],"mesh_chemical_pubtator_kw":["Lipids","organoheterocyclic compounds","lipid"],"source_id":"https://identifiers.org/metabolights:MTBLS2871","study_findings":"Bacillus velezensis prevalent; key metabolites in protein catabolism and \u03b2-lipid oxidation.","study_observation":"Microbiota and non-volatile metabolites in sausage stored at 20\u00b0C.","study_summary":"Microbial and metabolite changes in stored sausage.","study_title_original":"Microbial Diversity and Non-volatile Metabolites Profile of Low-Temperature Sausage Stored at Room Temperature"},{"@type":"Dataset","integmet_study":"MTBLS2878","mesh_chemical_id":["https://identifiers.org/mesh:D019256","https://identifiers.org/mesh:D005231","https://identifiers.org/mesh:D019216","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D010303","https://identifiers.org/mesh:C003045","https://identifiers.org/mesh:D002241"],"mesh_chemical_pubtator_kw":["CdCl2","unsaturated fatty acids","heavy metals","lipids","paromomycin","paramylon","carbohydrate"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3039","https://identifiers.org/taxonomy:3038"],"ncbi_taxonomy_pubtator_kw":["Euglena gracilis","Euglena","E. gracilis"],"source_id":"https://identifiers.org/metabolights:MTBLS2878","study_findings":"Limited insights into metabolic responses; UHPLC-MS/MS used for metabolomics.","study_observation":"Changes in cell biomass, pigments, lipids, paramylon under stresses.","study_summary":"Metabolic responses of Euglena to environmental stresses.","study_title_original":"Metabolic Responses of a Model Green Microalga Euglena gracilis to Different Environmental Stresses"},{"@type":"Dataset","integmet_study":"MTBLS2887","source_id":"https://identifiers.org/metabolights:MTBLS2887","study_findings":"Lower survival rates with diet D5 compared to others","study_observation":"Growth performance of juvenile Sipunculus nudus with different diets","study_summary":"Diet affects juvenile peanut worm growth.","study_title_original":"Dietary carbohydrate and protein levels affect the growth performance of juvenile peanut worm (Sipunculus nudus): an LC\u2013MS-based metabolomics study"},{"@type":"Dataset","integmet_study":"MTBLS293","source_id":"https://identifiers.org/metabolights:MTBLS293","study_findings":"Integration of datasets reveals interconnected biochemical pathways.","study_observation":"Metabolomics and metatranscriptomics data from coastal marine environment.","study_summary":"Metabolomics and metatranscriptomics integration in marine environment.","study_title_original":"Metabolites from surface seawater collected in Narragansett Bay"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0045195","https://identifiers.org/GO:0008152"],"go_kw":["gallstone formation","metabolism"],"integmet_study":"MTBLS2945","mesh_chemical_id":["https://identifiers.org/mesh:D005944","https://identifiers.org/mesh:C031655","https://identifiers.org/mesh:D003840","https://identifiers.org/mesh:C018524"],"mesh_chemical_pubtator_kw":["glucosamine","tauroursodeoxycholic acid","deoxycholic acid","asymmetric dimethylarginine"],"mesh_disease_id":["https://identifiers.org/mesh:D002769","https://identifiers.org/mesh:D042882","https://identifiers.org/mesh:D008107"],"mesh_disease_pubtator_kw":["gallstone disease","gallstones","liver and gall diseases","gallstone diseases","Gallstones"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mice","Mice"],"source_id":"https://identifiers.org/metabolights:MTBLS2945","study_findings":"Relationship between intestinal flora and liver metabolism in gallstone formation remains unclear","study_observation":"Intestinal flora and liver metabolite profiles in mice with gallstones","study_summary":"Gut-liver axis in gallstone formation studied.","study_title_original":"Changes and correlations of intestinal flora and liver metabolite profiles in mice with gallstones"},{"@type":"Dataset","integmet_study":"MTBLS295","source_id":"https://identifiers.org/metabolights:MTBLS295","study_findings":"psr1-like gene coordinates metabolic response; increased polyunsaturated fatty acids; decreased central metabolites except malate, aspartate, glutamate, guanine, xanthine.","study_observation":"Metabolic response of Micromonas pusilla to phosphate deficiency.","study_summary":"Phosphate response gene in marine algae studied.","study_title_original":"A Phosphate starvation response gene (psr1-like) is present in Micromonas pusilla and other marine algae and coordinates the metabolic response to phosphate deficiency"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0010142"],"go_kw":["isoprenoid pathways"],"integmet_study":"MTBLS297","mesh_chemical_id":["https://identifiers.org/mesh:C030298","https://identifiers.org/mesh:C000615229","https://identifiers.org/mesh:D013729","https://identifiers.org/mesh:D019289","https://identifiers.org/mesh:D005978","https://identifiers.org/mesh:D013395","https://identifiers.org/mesh:D002244","https://identifiers.org/mesh:D005231","https://identifiers.org/mesh:D019343","https://identifiers.org/mesh:D000105","https://identifiers.org/mesh:D054883","https://identifiers.org/mesh:D002245"],"mesh_chemical_pubtator_kw":["malate","13C","isoprenoid","pyruvate","glutathione","sucrose","Carbon","polyunsaturated fatty acids","citrate","acetyl-CoA","carbon","oxylipins","CO2"],"mesh_disease_id":["https://identifiers.org/mesh:D028243"],"mesh_disease_pubtator_kw":["VI"],"mesh_gene_id":["https://identifiers.org/ncbigene:543522"],"mesh_gene_pubtator_kw":["malic enzyme"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:4081"],"ncbi_taxonomy_pubtator_kw":["Tomato","tomato"],"source_id":"https://identifiers.org/metabolights:MTBLS297","study_findings":"Photosynthesis supports secondary metabolite biosynthesis; distinct mechanisms increase isoprenoid pathway precursors.","study_observation":"Glandular trichomes and leaves of cultivated and wild tomatoes.","study_summary":"Multiomics study of tomato glandular trichomes.","study_title_original":"Multiomics of tomato glandular trichomes reveals distinct features of central carbon metabolism supporting high productivity of specialized metabolites"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006558"],"go_kw":["Phenylalanine metabolism"],"integmet_study":"MTBLS2993","mesh_chemical_id":["https://identifiers.org/mesh:D047311","https://identifiers.org/mesh:C005073","https://identifiers.org/mesh:C036216","https://identifiers.org/mesh:D000040","https://identifiers.org/mesh:D014364","https://identifiers.org/mesh:D014443","https://identifiers.org/mesh:D020156","https://identifiers.org/mesh:C006552","https://identifiers.org/mesh:D010649","https://identifiers.org/mesh:C041477","https://identifiers.org/mesh:C072239","https://identifiers.org/mesh:C043562","https://identifiers.org/mesh:D012765"],"mesh_chemical_pubtator_kw":["luteolin","ethephon","ethylene","ABA","tryptophan","L-tyrosine","tyrosine","salicylic acid","kaempferol","L-phenylalanine","flavonol","methyl jasmonate","L-tryptophan","Phenylalanine","Flavone","shikimic acid"],"mesh_disease_id":["https://identifiers.org/mesh:D016751"],"mesh_disease_pubtator_kw":["ET"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3656"],"ncbi_taxonomy_pubtator_kw":["Cucumis melo L."],"source_id":"https://identifiers.org/metabolights:MTBLS2993","study_findings":"Ethephon induces bisexual flowers; 41 metabolites up-regulated, 98 down-regulated.","study_observation":"Metabolic profiling during bisexual flower formation in melon.","study_summary":"Ethephon induces bisexual flowers in melon.","study_title_original":"Distinct metabolic profiling is correlated with bisexual flowers formation resulting from exogenous ethephon induction in melon (<i>Cucumis melo</i> L.)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0046320","https://identifiers.org/GO:0006094","https://identifiers.org/GO:0006006","https://identifiers.org/GO:0006351","https://identifiers.org/GO:0006111","https://identifiers.org/GO:0006631","https://identifiers.org/GO:0019395"],"go_kw":["regulation of fatty acid oxidation","gluconeogenesis","glucose metabolism","transcription","regulation of gluconeogenesis","fatty acid metabolism","fatty acid oxidation"],"integmet_study":"MTBLS30","source_id":"https://identifiers.org/metabolights:MTBLS30","study_findings":"Limited redundancy in SRC coactivator function; unique metabolic functions identified.","study_observation":"Metabolomic analysis of glucose, fatty acid, and amino acid metabolism in SRC knockout mice.","study_summary":"Metabolomic profiles of SRC family in mice.","study_title_original":"Tissue- and Pathway-Specific Metabolomic Profiles of the Steroid Receptor Coactivator (SRC) family"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005739","https://identifiers.org/GO:0005634","https://identifiers.org/GO:0006954","https://identifiers.org/GO:0005886","https://identifiers.org/GO:0016209","https://identifiers.org/GO:0005615"],"go_kw":["mitochondrion","nucleus","inflammatory response","cell membrane","antioxidant activity","extracellular space"],"integmet_study":"MTBLS3003","mesh_chemical_id":["https://identifiers.org/mesh:C584543"],"mesh_chemical_pubtator_kw":["Roxadustat","FG4592"],"mesh_disease_id":["https://identifiers.org/mesh:D000860","https://identifiers.org/mesh:D000740","https://identifiers.org/mesh:D020785","https://identifiers.org/mesh:D008659","https://identifiers.org/mesh:D000208","https://identifiers.org/mesh:D007674","https://identifiers.org/mesh:D051436","https://identifiers.org/mesh:D058186","https://identifiers.org/mesh:D007680","https://identifiers.org/mesh:D017202","https://identifiers.org/mesh:D007511","https://identifiers.org/mesh:D007249"],"mesh_disease_pubtator_kw":["hypoxia","-anemia","Damage to the renal vascular system","metabolic disorders","acute","kidney fibrosis","CKD","chronic kidney disease","Acute kidney injury","anemia","unilateral kidney ischemia-","ischemic damage","ischemia","AKI","inflammatory"],"mesh_gene_id":["https://identifiers.org/ncbigene:7422","https://identifiers.org/ncbigene:22339","https://identifiers.org/ncbigene:14254","https://identifiers.org/ncbigene:6648","https://identifiers.org/ncbigene:15251","https://identifiers.org/ncbigene:3091","https://identifiers.org/ncbigene:20656"],"mesh_gene_pubtator_kw":["VEGFA","VEGFR1","SOD2","HIF-1alpha","vascular endothelial growth factor A","superoxide dismutase 2"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["patients","mice"],"source_id":"https://identifiers.org/metabolights:MTBLS3003","study_findings":"FG4592 alleviates kidney fibrosis, enhances vascular regeneration, and improves redox balance.","study_observation":"Role of FG4592 in AKI-to-CKD transition induced by UIR.","study_summary":"FG4592 prevents AKI-to-CKD transition.","study_title_original":"Anti-anemia drug FG4592 retards the AKI\u00a0to CKD transition by improving vascular regeneration and anti-oxidative capability (day 21)"},{"@type":"Dataset","integmet_study":"MTBLS303","mesh_chemical_id":["https://identifiers.org/mesh:D015777","https://identifiers.org/mesh:D012436","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:C042026","https://identifiers.org/mesh:D010743","https://identifiers.org/mesh:D014280","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D005230","https://identifiers.org/mesh:D002331","https://identifiers.org/mesh:D015525"],"mesh_chemical_pubtator_kw":["eicosanoid","adenosyl-methionine","lipid","PGB2","phospholipid","triacylglycerol","fatty-acid","fatty acid","free fatty acid","lipids","carnitines","fatty acids","eicosanoids","n-3 fatty acids"],"mesh_disease_id":["https://identifiers.org/mesh:D008659","https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D003924","https://identifiers.org/mesh:D006529"],"mesh_disease_pubtator_kw":["metabolic diseases","inflammatory","type 2 diabetes","liver enlargement"],"mesh_gene_id":["https://identifiers.org/ncbigene:25747","https://identifiers.org/ncbigene:25747;25664"],"mesh_gene_pubtator_kw":["PPAR","PPARalpha, gamma and delta","PPAR-alpha, -gamma, and -delta"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10116"],"ncbi_taxonomy_pubtator_kw":["rat","rats"],"source_id":"https://identifiers.org/metabolights:MTBLS303","study_findings":"PPAR-pan activation induces hepatic oxidative stress and lipidomic remodelling.","study_observation":"Small molecule changes in rat liver using LC-MS.","study_summary":"Metabolomics of PPAR-pan treated rat liver.","study_title_original":"Metabolomics dataset of PPAR-pan treated rat liver (acyl-carnitine and aqueous metabolite assays)"},{"@type":"Dataset","integmet_study":"MTBLS3038","source_id":"https://identifiers.org/metabolights:MTBLS3038","study_findings":"Microbiome dynamics linked to population abundance, biological functions, and environmental factors.","study_observation":"Planktonic microbiome diel cycle in Lake Tai.","study_summary":"Diel dynamics of planktonic microbiome in Lake Tai.","study_title_original":"High complexity and diel dynamics of planktonic microbiome revealed by multi-omics in Taihu, China"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005739","https://identifiers.org/GO:0005634","https://identifiers.org/GO:0006954","https://identifiers.org/GO:0005886","https://identifiers.org/GO:0016209","https://identifiers.org/GO:0005615"],"go_kw":["mitochondrion","nucleus","inflammatory response","cell membrane","antioxidant activity","extracellular space"],"integmet_study":"MTBLS3056","mesh_chemical_id":["https://identifiers.org/mesh:C584543"],"mesh_chemical_pubtator_kw":["Roxadustat","FG4592"],"mesh_disease_id":["https://identifiers.org/mesh:D000860","https://identifiers.org/mesh:D000740","https://identifiers.org/mesh:D020785","https://identifiers.org/mesh:D008659","https://identifiers.org/mesh:D000208","https://identifiers.org/mesh:D007674","https://identifiers.org/mesh:D051436","https://identifiers.org/mesh:D058186","https://identifiers.org/mesh:D007680","https://identifiers.org/mesh:D017202","https://identifiers.org/mesh:D007511","https://identifiers.org/mesh:D007249"],"mesh_disease_pubtator_kw":["hypoxia","-anemia","Damage to the renal vascular system","metabolic disorders","acute","kidney fibrosis","CKD","chronic kidney disease","Acute kidney injury","anemia","unilateral kidney ischemia-","ischemic damage","ischemia","AKI","inflammatory"],"mesh_gene_id":["https://identifiers.org/ncbigene:7422","https://identifiers.org/ncbigene:22339","https://identifiers.org/ncbigene:14254","https://identifiers.org/ncbigene:6648","https://identifiers.org/ncbigene:15251","https://identifiers.org/ncbigene:3091","https://identifiers.org/ncbigene:20656"],"mesh_gene_pubtator_kw":["VEGFA","VEGFR1","SOD2","HIF-1alpha","vascular endothelial growth factor A","superoxide dismutase 2"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["patients","mice"],"source_id":"https://identifiers.org/metabolights:MTBLS3056","study_findings":"FG4592 improves vascular regeneration and redox balance, not inflammation.","study_observation":"Role of FG4592 in AKI-to-CKD transition via UIR.","study_summary":"FG4592 aids AKI-to-CKD transition prevention.","study_title_original":"Anti-anemia drug FG4592 retards the AKI\u00a0to CKD transition by improving vascular regeneration and anti-oxidative capability (day 10)"},{"@type":"Dataset","integmet_study":"MTBLS31","mesh_chemical_id":["https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["lipid"],"mesh_disease_id":["https://identifiers.org/mesh:D007239","https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D007251"],"mesh_disease_pubtator_kw":["infection","inflammation","influenza infection","influenza","Infection","inflammatory"],"mesh_gene_id":["https://identifiers.org/ncbigene:11689"],"mesh_gene_pubtator_kw":["5-lipoxygenase"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:114727","https://identifiers.org/taxonomy:119210"],"ncbi_taxonomy_pubtator_kw":["human","H1N1","H3N2"],"source_id":"https://identifiers.org/metabolights:MTBLS31","study_findings":null,"study_observation":"Lipid mediators in BALF from influenza-infected mice.","study_summary":"Lipidomic response in BALF post influenza infection.","study_title_original":"Lipid mediators of inflammation in BALF 3-19 days after infection with influenza."},{"@type":"Dataset","integmet_study":"MTBLS312","mesh_chemical_id":["https://identifiers.org/mesh:D002245","https://identifiers.org/mesh:D005419","https://identifiers.org/mesh:C011006","https://identifiers.org/mesh:D000073893","https://identifiers.org/mesh:D017382","https://identifiers.org/mesh:D005227"],"mesh_chemical_pubtator_kw":["carbon dioxide","flavonoid","JA","sugar","reactive oxygen species","fatty acid","jasmonic acid","Jasmonate","CO2"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3708"],"ncbi_taxonomy_pubtator_kw":["Brassica napus"],"source_id":"https://identifiers.org/metabolights:MTBLS312","study_findings":"CO2-induced stomatal closure is mediated by JA signaling.","study_observation":"Metabolomic responses of Brassica napus guard cells to elevated CO2.","study_summary":"Jasmonate mediates stomatal closure under elevated CO2.","study_title_original":"Jasmonate-mediated stomatal closure under elevated CO2 revealed by time-resolved metabolomics"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006006"],"go_kw":["glucose metabolism"],"integmet_study":"MTBLS316","mesh_chemical_id":["https://identifiers.org/mesh:D000255","https://identifiers.org/mesh:D014199","https://identifiers.org/mesh:D003566","https://identifiers.org/mesh:D004880","https://identifiers.org/mesh:D005947","https://identifiers.org/mesh:D001710","https://identifiers.org/mesh:D006861","https://identifiers.org/mesh:D005978","https://identifiers.org/mesh:D001786","https://identifiers.org/mesh:D012436"],"mesh_chemical_pubtator_kw":["ATP","trehalose","CDP-choline","ergothioneine","Glucose","glucose","biotin","H(2)O(2)","glutathione","blood sugar","S-adenosyl methionine"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:4896","https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["Schizosaccharomyces pombe","fission yeast","human","S. pombe"],"source_id":"https://identifiers.org/metabolights:MTBLS316","study_findings":"Stochastic division and quiescence transition at low glucose; specific metabolites identified; increased lifespan post-starvation.","study_observation":"Cell division-quiescence behavior of Schizosaccharomyces pombe under varying glucose concentrations.","study_summary":"Biomarkers for yeast division and quiescence under glucose limitation.","study_title_original":"Specific biomarkers for stochastic division patterns and starvation-induced quiescence under limited glucose levels in fission yeast"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0019395","https://identifiers.org/GO:0009437","https://identifiers.org/GO:0046322"],"go_kw":["fatty acid oxidation (FAO)","carnitine metabolism","inhibition of fatty acid oxidation (FAO)"],"integmet_study":"MTBLS3174","mesh_chemical_id":["https://identifiers.org/mesh:D002331","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:C000713634","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:C003712"],"mesh_chemical_pubtator_kw":["carnitine","lipid","TMAVA","N,N,N-trimethyl-5-aminovaleric acid","fatty acid","trimethyllysine"],"mesh_disease_id":["https://identifiers.org/mesh:D006331","https://identifiers.org/mesh:D006333","https://identifiers.org/mesh:D006332"],"mesh_disease_pubtator_kw":["diseased heart","heart failure","cardiac hypertrophy","cardiac hypertrophy and dysfunction","contractile dysfunction"],"mesh_gene_id":["https://identifiers.org/ncbigene:170442"],"mesh_gene_pubtator_kw":["gamma-butyrobetaine hydroxylase"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mice","Mice"],"source_id":"https://identifiers.org/metabolights:MTBLS3174","study_findings":"TMAVA inhibits carnitine synthesis, reducing FAO and accelerating cardiac hypertrophy.","study_observation":"Gut microbiota production of TMAVA and its effects on cardiac hypertrophy.","study_summary":"TMAVA affects cardiac hypertrophy via carnitine inhibition.","study_title_original":"Gut microbiota production of trimethyl-5-aminovaleric acid reduces fatty acid oxidation and accelerates cardiac hypertrophy"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009813","https://identifiers.org/GO:0016114","https://identifiers.org/GO:0030638"],"go_kw":["flavonoid biosynthesis","terpenoid biosynthesis","polyketide metabolism"],"integmet_study":"MTBLS3183","mesh_chemical_id":["https://identifiers.org/mesh:D013729","https://identifiers.org/mesh:D004224","https://identifiers.org/mesh:D061065","https://identifiers.org/mesh:D005419","https://identifiers.org/mesh:D009822"],"mesh_chemical_pubtator_kw":["terpenoid","diterpenoid","polyketides","flavonoid","terpenoids","Terpenoid","Terpenoids","essential oil"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:99810","https://identifiers.org/taxonomy:207839"],"ncbi_taxonomy_pubtator_kw":["Cryptomeria fortunei","C. fortunei"],"source_id":"https://identifiers.org/metabolights:MTBLS3183","study_findings":"miRNA-target regulation maintains high terpenoid levels in evergreen C. fortunei.","study_observation":"Differences in terpenoid regulatory mechanisms in two C. fortunei phenotypes.","study_summary":"Terpenoid biosynthesis in Cryptomeria fortunei phenotypes.","study_title_original":"Integrated Four Comparative-Omics Reveals the Mechanism of the Terpenoid Biosynthesis in Two Different Overwintering <i>Cryptomeria fortunei</i> Phenotypes."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009812","https://identifiers.org/GO:0008152","https://identifiers.org/GO:0009058","https://identifiers.org/GO:0009813","https://identifiers.org/GO:0009631"],"go_kw":["flavonoid metabolism","metabolism","biosynthesis","flavonoid biosynthesis","cold acclimation"],"integmet_study":"MTBLS3184","mesh_chemical_id":["https://identifiers.org/mesh:D005419","https://identifiers.org/mesh:D044948","https://identifiers.org/mesh:D047309","https://identifiers.org/mesh:D002734"],"mesh_chemical_pubtator_kw":["flavonoid","flavonoids","flavonols","flavones","chlorophyll"],"mesh_disease_id":["https://identifiers.org/mesh:D014075"],"mesh_disease_pubtator_kw":["needle discoloration","discoloration"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:207839"],"ncbi_taxonomy_pubtator_kw":["C. fortunei"],"source_id":"https://identifiers.org/metabolights:MTBLS3184","study_findings":"Flavonoid metabolism influences needle discoloration and cold resistance in C. fortunei.","study_observation":"Pigment content, ultrastructure, transcriptomic and metabolomic analyses of C. fortunei needles.","study_summary":"Flavonoids affect needle color and cold resistance.","study_title_original":"Transcriptome and metabolome changes in Chinese cedar during cold acclimation reveal the roles of flavonoids in needle discoloration and cold resistance."},{"@type":"Dataset","integmet_study":"MTBLS32","mesh_chemical_id":["https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["lipid"],"mesh_disease_id":["https://identifiers.org/mesh:D007239","https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D007251"],"mesh_disease_pubtator_kw":["infection","inflammation","influenza infection","influenza","Infection","inflammatory"],"mesh_gene_id":["https://identifiers.org/ncbigene:11689"],"mesh_gene_pubtator_kw":["5-lipoxygenase"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:114727","https://identifiers.org/taxonomy:119210"],"ncbi_taxonomy_pubtator_kw":["human","H1N1","H3N2"],"source_id":"https://identifiers.org/metabolights:MTBLS32","study_findings":null,"study_observation":"Lipidomic host response in BALF from influenza-infected mice.","study_summary":"Lipidomic response in BALF post-influenza infection.","study_title_original":"Lipid mediators of inflammation in BALF 6-19 days after infection with influenza."},{"@type":"Dataset","integmet_study":"MTBLS321","mesh_disease_id":["https://identifiers.org/mesh:D014770"],"mesh_disease_pubtator_kw":["hyperinsulinaemic androgen excess"],"source_id":"https://identifiers.org/metabolights:MTBLS321","study_findings":"eRah automates metabolite identification and quantification, validated against other software","study_observation":"GC-TOF MS data from plasma samples of adolescents","study_summary":"eRah tool for metabolite analysis in GC-MS data","study_title_original":"eRah: A computational tool integrating spectral deconvolution and alignment with quantification and identification of metabolites in GCMS- based metabolomics"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008152","https://identifiers.org/GO:0006650","https://identifiers.org/GO:0008652","https://identifiers.org/GO:0009058","https://identifiers.org/GO:0036109","https://identifiers.org/GO:0006568"],"go_kw":["metabolism","glycerophospholipid metabolism","amino acid biosynthesis","biosynthesis","alpha-linolenic acid metabolism","tryptophan metabolism"],"integmet_study":"MTBLS3233","mesh_chemical_id":["https://identifiers.org/mesh:C006065","https://identifiers.org/mesh:D014364","https://identifiers.org/mesh:D001120","https://identifiers.org/mesh:C053518","https://identifiers.org/mesh:D015095","https://identifiers.org/mesh:D013107","https://identifiers.org/mesh:D024322","https://identifiers.org/mesh:C028330","https://identifiers.org/mesh:D020404","https://identifiers.org/mesh:D007736","https://identifiers.org/mesh:D017962"],"mesh_chemical_pubtator_kw":["lysoPC","tryptophan","L-arginine","PC","3-hydroxyanthranilic acid","sphingolipids","aromatic amino acids","xanthurenic acid","glycerophospholipid","kynurenic acid","alpha-linolenic acid","glycerophospholipids"],"mesh_disease_id":["https://identifiers.org/mesh:D001172"],"mesh_disease_pubtator_kw":["RA","Rheumatoid Arthritis","rheumatoid arthritis"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:1432051","https://identifiers.org/taxonomy:1350","https://identifiers.org/taxonomy:570","https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:237","https://identifiers.org/taxonomy:158846","https://identifiers.org/taxonomy:1407607","https://identifiers.org/taxonomy:562"],"ncbi_taxonomy_pubtator_kw":["Eisenbergiella","Enterococcus","Klebsiella","patients","Flavobacterium","Patients","Megamonas","Fusicatenibacter","Escherichia"],"source_id":"https://identifiers.org/metabolights:MTBLS3233","study_findings":"Altered genera and metabolites; Escherichia core genus; dysregulated metabolic pathways in RA.","study_observation":"Gut microbiome and fecal metabolites in RA patients and healthy controls.","study_summary":"Gut microbiome and metabolites in rheumatoid arthritis.","study_title_original":"The gut microbiome and metabolites are altered and interrelated in patients with rheumatoid arthritis"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006351","https://identifiers.org/GO:0007568","https://identifiers.org/GO:0016569"],"go_kw":["transcription","ageing","chromatin modification"],"integmet_study":"MTBLS3251","mesh_gene_id":["https://identifiers.org/ncbigene:31120","https://identifiers.org/ncbigene:31442","https://identifiers.org/ncbigene:36390","https://identifiers.org/ncbigene:44226","https://identifiers.org/ncbigene:41709"],"mesh_gene_pubtator_kw":["SWI","SNF","ISWI","Xbp1","dFOXO"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:7147"],"ncbi_taxonomy_pubtator_kw":["flies"],"source_id":"https://identifiers.org/metabolights:MTBLS3251","study_findings":"Early dFOXO activation reduces mortality via specific pathways and chromatin modifiers.","study_observation":"dFOXO activation in early adulthood and its effects on longevity.","study_summary":"dFOXO activation reduces later-life mortality in Drosophila.","study_title_original":"Transcriptional memory of dFOXO activation in youth curtails later-life mortality"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006629","https://identifiers.org/GO:0006954","https://identifiers.org/GO:0006955"],"go_kw":["lipid metabolism","inflammation","immune response"],"integmet_study":"MTBLS33","mesh_chemical_id":["https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["lipid"],"mesh_disease_id":["https://identifiers.org/mesh:D007239","https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D007251"],"mesh_disease_pubtator_kw":["infection","inflammation","influenza infection","influenza","Infection","inflammatory"],"mesh_gene_id":["https://identifiers.org/ncbigene:11689"],"mesh_gene_pubtator_kw":["5-lipoxygenase"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:114727","https://identifiers.org/taxonomy:119210"],"ncbi_taxonomy_pubtator_kw":["human","H1N1","H3N2"],"source_id":"https://identifiers.org/metabolights:MTBLS33","study_findings":"5-lipoxygenase metabolites correlate with pathogenic phase; 12/15-lipoxygenase with resolution phase.","study_observation":"Lipid mediators in BALF post-influenza infection in mice.","study_summary":"Lipid mediators in influenza-induced inflammation.","study_title_original":"Lipid mediators of inflammation in BALF 3-11 days after infection with influenza."},{"@type":"Dataset","integmet_study":"MTBLS3306","mesh_chemical_id":["https://identifiers.org/mesh:D019271","https://identifiers.org/mesh:D001647","https://identifiers.org/mesh:C031345"],"mesh_chemical_pubtator_kw":["hypoxanthine","bile acid","L-pipecolic acid"],"mesh_disease_id":["https://identifiers.org/mesh:D003003","https://identifiers.org/mesh:D017093","https://identifiers.org/mesh:D008107","https://identifiers.org/mesh:D007239","https://identifiers.org/mesh:D003141","https://identifiers.org/mesh:D018281"],"mesh_disease_pubtator_kw":["C. sinensis infection","liver fluke","liver and gallbladder diseases","infection","infectious disease","clonorchiasis","Clonorchiasis","CCA","cholangiocarcinoma"],"mesh_gene_id":["https://identifiers.org/ncbigene:100338759"],"mesh_gene_pubtator_kw":["cholinesterase"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:79923","https://identifiers.org/taxonomy:128511","https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:9986"],"ncbi_taxonomy_pubtator_kw":["Clonorchis sinensis","C. sinensis","human","rabbits"],"source_id":"https://identifiers.org/metabolights:MTBLS3306","study_findings":"AST, GGT, hypoxanthine, l-pipecolic acid, d-glucuronate as potential biomarkers.","study_observation":"Biochemical indices and metabolites in C. sinensis-infected rabbits.","study_summary":"Biomarkers for Clonorchis sinensis infection identified.","study_title_original":"Multiple biochemical indices and metabolomics of Clonorchis sinensis provide a novel interpretation of biomarkers"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006629","https://identifiers.org/GO:0006099"],"go_kw":["lipid metabolism","TCA cycle"],"integmet_study":"MTBLS3318","mesh_chemical_id":["https://identifiers.org/mesh:D011073","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:C116917","https://identifiers.org/mesh:D009584","https://identifiers.org/mesh:D011700","https://identifiers.org/mesh:D014238","https://identifiers.org/mesh:D009952"],"mesh_chemical_pubtator_kw":["polyamines","lipid","polyamine","acyl-carnitine","nitrogen","putrescine","TCA","ornithine"],"mesh_disease_id":["https://identifiers.org/mesh:D007319","https://identifiers.org/mesh:D064420","https://identifiers.org/mesh:D012892","https://identifiers.org/mesh:D028361","https://identifiers.org/mesh:D012893"],"mesh_disease_pubtator_kw":["sleepless","toxicity","sleep deprivation.1,2","sss","mitochondrial dysfunction","sleep loss"],"mesh_gene_id":["https://identifiers.org/ncbigene:36849"],"mesh_gene_pubtator_kw":["fumin","fmn"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:7227","https://identifiers.org/taxonomy:58319"],"ncbi_taxonomy_pubtator_kw":["Drosophila melanogaster","rye","redeye","Drosophila"],"source_id":"https://identifiers.org/metabolights:MTBLS3318","study_findings":"Chronic sleep loss links to nitrogen stress and health outcomes.","study_observation":"Metabolomics on Drosophila short-sleeping mutants' heads","study_summary":"Chronic sleep loss affects Drosophila nitrogen stress.","study_title_original":"Chronic sleep loss sensitizes Drosophila melanogaster to nitrogen stress"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005739","https://identifiers.org/GO:0005737","https://identifiers.org/GO:0005886","https://identifiers.org/GO:0006096"],"go_kw":["mitochondrion","cytoplasm","plasma membrane","glycolysis"],"integmet_study":"MTBLS3332","mesh_chemical_id":["https://identifiers.org/mesh:C029063","https://identifiers.org/mesh:D000255"],"mesh_chemical_pubtator_kw":["fructose 1,6-bisphosphate","ATP"],"mesh_disease_id":["https://identifiers.org/mesh:C536777","https://identifiers.org/mesh:D007239","https://identifiers.org/mesh:D009181","https://identifiers.org/mesh:D001228","https://identifiers.org/mesh:D002177"],"mesh_disease_pubtator_kw":["systemic candidiasis","infection","Fungal infections","aspergillosis","candidiasis"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:5476","https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["Candida albicans","C. albicans","mouse","mice"],"source_id":"https://identifiers.org/metabolights:MTBLS3332","study_findings":"\u03b4 subunit deletion reduces virulence, protects against candidiasis.","study_observation":"F1Fo-ATP synthase \u03b4 subunit deletion in Candida albicans.","study_summary":"F1Fo-ATP synthase \u03b4 subunit affects fungal infection.","study_title_original":"F1Fo-ATP synthase  subunit determines lethal pathogenic fungi infection"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0030154","https://identifiers.org/GO:0055085","https://identifiers.org/GO:0006955","https://identifiers.org/GO:0030217"],"go_kw":["cell differentiation","transmembrane transport","immune response","T cell differentiation"],"integmet_study":"MTBLS3358","mesh_chemical_id":["https://identifiers.org/mesh:D005680","https://identifiers.org/mesh:C030985","https://identifiers.org/mesh:D012256","https://identifiers.org/mesh:D008715","https://identifiers.org/mesh:D003545","https://identifiers.org/mesh:D020404"],"mesh_chemical_pubtator_kw":["gamma-aminobutyric acid","purine","riboflavin","GABA","methionine","cysteine","glycerophospholipid"],"mesh_gene_id":["https://identifiers.org/ncbigene:243616","https://identifiers.org/ncbigene:12504","https://identifiers.org/ncbigene:232333","https://identifiers.org/ncbigene:14412","https://identifiers.org/ncbigene:80909"],"mesh_gene_pubtator_kw":["GAT-4","CD4","GAT-1","GAT-2","GAT-3","GATs"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mice","Mice"],"source_id":"https://identifiers.org/metabolights:MTBLS3358","study_findings":"Insights into T cell response to GAT-2 deficiency.","study_observation":"Effect of GAT-2 deficiency on Th1 cells in mice.","study_summary":"Metabolomics of GAT-2 deficiency in Th1 cells.","study_title_original":"Metabolomics Analysis of the Effect of GAT-2 Deficiency on Th1 Cells in Mice"},{"@type":"Dataset","integmet_study":"MTBLS338","mesh_chemical_id":["https://identifiers.org/mesh:D005961","https://identifiers.org/mesh:D005419"],"mesh_chemical_pubtator_kw":["glucosinolates","flavonoids"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3702"],"ncbi_taxonomy_pubtator_kw":["Arabidopsis thaliana","A. thaliana"],"source_id":"https://identifiers.org/metabolights:MTBLS338","study_findings":"Plant-to-plant variability exceeds natural variation between accessions","study_observation":"Root metabolic patterns and variability in Arabidopsis thaliana","study_summary":"Root metabolite variability in Arabidopsis thaliana accessions","study_title_original":"Plant-to-plant variability in root metabolite profiles of 19 Arabidopsis thaliana accessions is substance-class dependent"},{"@type":"Dataset","integmet_study":"MTBLS34","mesh_chemical_id":["https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["lipid"],"mesh_disease_id":["https://identifiers.org/mesh:D007239","https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D007251"],"mesh_disease_pubtator_kw":["infection","inflammation","influenza infection","influenza","Infection","inflammatory"],"mesh_gene_id":["https://identifiers.org/ncbigene:11689"],"mesh_gene_pubtator_kw":["5-lipoxygenase"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:114727","https://identifiers.org/taxonomy:119210"],"ncbi_taxonomy_pubtator_kw":["human","H1N1","H3N2"],"source_id":"https://identifiers.org/metabolights:MTBLS34","study_findings":null,"study_observation":"Lipidomic host response in BALF from influenza-infected mice.","study_summary":"Lipidomic response in BALF post influenza infection.","study_title_original":"Lipid mediators of inflammation in BALF 3-13 days after infection with influenza."},{"@type":"Dataset","integmet_study":"MTBLS343","source_id":"https://identifiers.org/metabolights:MTBLS343","study_findings":"Storage impacts metabolomics; phenolic compounds increase, others decrease.","study_observation":"Metabolome of iceberg lettuce related to storage time and genetics.","study_summary":"Metabolome changes in iceberg lettuce during storage.","study_title_original":"Untargeted metabolomics approach using UPLC-ESI-QTOF-MS to explore the metabolome of fresh-cut iceberg lettuce"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0023052","https://identifiers.org/GO:0009698","https://identifiers.org/GO:0006629","https://identifiers.org/GO:0009695"],"go_kw":["signalling","phenylpropanoid metabolism","lipid metabolism","jasmonic acid biosynthesis"],"integmet_study":"MTBLS3518","mesh_chemical_id":["https://identifiers.org/mesh:C011006","https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["jasmonic acid","lipid"],"mesh_disease_id":["https://identifiers.org/mesh:C000719201","https://identifiers.org/mesh:D009181","https://identifiers.org/mesh:D002095"],"mesh_disease_pubtator_kw":["insect","fungal","BPH"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:108931","https://identifiers.org/taxonomy:4530","https://identifiers.org/taxonomy:318829"],"ncbi_taxonomy_pubtator_kw":["brown planthopper","Nilaparvata lugens","Rice","rice","Magnaporthe oryzae"],"source_id":"https://identifiers.org/metabolights:MTBLS3518","study_findings":"OsPep3 improves rice resistance to BPH and pathogens.","study_observation":"Rice resistance to BPH and pathogens via Pep signalling.","study_summary":"Pep signalling enhances rice resistance to pests.","study_title_original":"Plant elicitor peptide signalling confers rice resistance to piercing-sucking insect herbivores and pathogens"},{"@type":"Dataset","integmet_study":"MTBLS353","source_id":"https://identifiers.org/metabolights:MTBLS353","study_findings":"235 metabolites identified; statistical methods used to assess symptom-related metabolic changes.","study_observation":"Metabolic profiles of grapevine leaves with esca disease symptoms.","study_summary":"Metabolite profiling of grapevine esca disease symptoms.","study_title_original":"Metabolite profile data of grapevine plants with brown wood streaking and grapevine leaf stripe (esca complex disease) symptoms"},{"@type":"Dataset","integmet_study":"MTBLS354","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D008244","https://identifiers.org/mesh:D006028","https://identifiers.org/mesh:D014281","https://identifiers.org/mesh:D013109","https://identifiers.org/mesh:C008301"],"mesh_chemical_pubtator_kw":["lipid","Lipid","lysophosphatidylcholines","glycosphingolipids","trihexosylceramide","sphingomyelins","lysophosphatidylethanolamines"],"mesh_disease_id":["https://identifiers.org/mesh:D000092225","https://identifiers.org/mesh:D003147","https://identifiers.org/mesh:D007239","https://identifiers.org/mesh:D012141"],"mesh_disease_pubtator_kw":["extrapulmonary infection","community acquired pneumonia","infection","CAP","community-acquired pneumonia","respiratory tract infection"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["patients","patient"],"source_id":"https://identifiers.org/metabolights:MTBLS354","study_findings":"Lipid metabolites distinguish CAP cases; potential diagnostic and prognostic biomarkers.","study_observation":"Lipid metabolites in plasma samples from CAP and non-CAP patients.","study_summary":"Lipid metabolites as CAP biomarkers.","study_title_original":"Lipid metabolites as potential diagnostic and prognostic biomarkers for acute community acquired pneumonia"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0040007","https://identifiers.org/GO:0006004","https://identifiers.org/GO:0006826","https://identifiers.org/GO:0009445","https://identifiers.org/GO:0042135","https://identifiers.org/GO:0010467","https://identifiers.org/GO:0010468"],"go_kw":["growth","fucose metabolism","iron transport","putrescine metabolism","neurotransmitter degradation","gene expression","gene regulation"],"integmet_study":"MTBLS3540","mesh_chemical_id":["https://identifiers.org/mesh:D014364","https://identifiers.org/mesh:D005643","https://identifiers.org/mesh:D018698","https://identifiers.org/mesh:D012701","https://identifiers.org/mesh:C030374","https://identifiers.org/mesh:D010649","https://identifiers.org/mesh:D014443","https://identifiers.org/mesh:D011700","https://identifiers.org/mesh:D005680","https://identifiers.org/mesh:D005978","https://identifiers.org/mesh:D007930","https://identifiers.org/mesh:D000613","https://identifiers.org/mesh:D007501"],"mesh_chemical_pubtator_kw":["l-tryptophan","fucose","l-glutamic acid","5-hydroxytryptamine","indole","l-phenylalanine","Tryptophan","l-tyrosine","serotonin","putrescine","GABA","glutathione","Putrescine","Fucose","l-leucine","aminobutyrate","iron"],"mesh_disease_id":["https://identifiers.org/mesh:D003967","https://identifiers.org/mesh:D004927"],"mesh_disease_pubtator_kw":["diarrhea","Enterotoxigenic Escherichia coli"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:562"],"ncbi_taxonomy_pubtator_kw":["E. coli"],"source_id":"https://identifiers.org/metabolights:MTBLS3540","study_findings":"Distinct transition phase with metabolic shifts and neurotransmitter precursor degradation.","study_observation":"Growth phases of Enterotoxigenic Escherichia coli in vitro.","study_summary":"ETEC growth phase transition and metabolic changes.","study_title_original":"Analysis of Growth Phases of Enterotoxigenic Escherichia coli Reveals a Distinct Transition Phase before Entry into Early Stationary Phase with Shifts in Tryptophan, Fucose, and Putrescine Metabolism and Degradation of Neurotransmitter Precursors"},{"@type":"Dataset","integmet_study":"MTBLS359","source_id":"https://identifiers.org/metabolights:MTBLS359","study_findings":"Altered carbon metabolism, reduced catalase activity, unchanged membrane integrity, yohimbine identification.","study_observation":"Effects of yerba mate extract on S. Typhimurium metabolism.","study_summary":"Yerba mate extract affects S. Typhimurium metabolism.","study_title_original":"Metabolomic analysis of the mechanism of action of yerba mate extract on Salmonella Typhimurium"},{"@type":"Dataset","integmet_study":"MTBLS360","source_id":"https://identifiers.org/metabolights:MTBLS360","study_findings":"OXPA is non-toxic and active against trypanosomatid parasites.","study_observation":"Perturbation of sphingolipid metabolism by OXPA in Trypanosoma brucei.","study_summary":"OXPA affects sphingolipid metabolism in Trypanosoma brucei.","study_title_original":"Metabolomics and lipidomics reveal perturbation of sphingolipid metabolism by a novel anti-trypanosomal 3-(oxazolo[4,5-b]pyridine-2-yl)anilide"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008152"],"go_kw":["metabolism"],"integmet_study":"MTBLS3627","source_id":"https://identifiers.org/metabolights:MTBLS3627","study_findings":"Temperate lizards show enhanced acclimation; different mechanisms in T. septentrionalis and T. wolteri.","study_observation":"Thermal acclimatization of Takydromus lizards along a latitudinal gradient.","study_summary":"Metabolic plasticity in temperate vs tropical lizards.","study_title_original":"Metabolic plasticity confers increased resilience to climate variability in temperate compared to tropical lizards"},{"@type":"Dataset","integmet_study":"MTBLS3628","mesh_chemical_id":["https://identifiers.org/mesh:C043565","https://identifiers.org/mesh:D019802"],"mesh_chemical_pubtator_kw":["succinyl-adenosine","succinate"],"mesh_disease_id":["https://identifiers.org/mesh:C538191","https://identifiers.org/mesh:D009369","https://identifiers.org/mesh:D002292"],"mesh_disease_pubtator_kw":["FH-deficient tumors","tumors","renal cell carcinoma","tumor","RCC","fumarate hydratase-deficient renal cell carcinoma"],"mesh_gene_id":["https://identifiers.org/ncbigene:2271"],"mesh_gene_pubtator_kw":["FH","fumarate hydratase"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["patients"],"source_id":"https://identifiers.org/metabolights:MTBLS3628","study_findings":"Succinyl-adenosine and succinic-cysteine are biomarkers with >90% predictive value.","study_observation":"Plasma metabolomics in FH-deficient RCC patients.","study_summary":"Biomarkers for FH-deficient renal cell carcinoma identified.","study_title_original":"Distinct succinate modifying products are clinically diagnostic and prognostic biomarkers for fumarate hydratase deficient renal cell carcinoma"},{"@type":"Dataset","integmet_study":"MTBLS3637","mesh_chemical_id":["https://identifiers.org/mesh:D020404","https://identifiers.org/mesh:D010649"],"mesh_chemical_pubtator_kw":["glycerophospholipid","LPA"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:303541","https://identifiers.org/taxonomy:7460"],"ncbi_taxonomy_pubtator_kw":["Lactobacillus apis","L. apis","bees"],"source_id":"https://identifiers.org/metabolights:MTBLS3637","study_findings":"Lactobacillus Firm-5 cluster correlates with memory; L. apis enhances memory.","study_observation":"Gut microbiome's effect on bumblebee memory variation","study_summary":"Gut microbiome affects bumblebee memory.","study_title_original":"Gut microbiome drives individual memory variation in bumblebees"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0046890","https://identifiers.org/GO:0008610"],"go_kw":["regulation of lipid biosynthesis","lipid biosynthesis"],"integmet_study":"MTBLS3657","mesh_chemical_id":["https://identifiers.org/mesh:D005231","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:C005134"],"mesh_chemical_pubtator_kw":["unsaturated fatty acids","lipid","juglone","Lipid"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:91218","https://identifiers.org/taxonomy:91213"],"ncbi_taxonomy_pubtator_kw":["J. mandshurica","Juglans cathayensis","Juglans mandshurica Maxim"],"source_id":"https://identifiers.org/metabolights:MTBLS3657","study_findings":"High-quality genome assembly; insights into juglone and lipid biosynthesis","study_observation":"Juglans mandshurica genome assembly and annotation","study_summary":"Manchurian walnut genome insights into biosynthesis.","study_title_original":"The Manchurian Walnut Genome: Insights into Juglone and Lipid Biosynthesis."},{"@type":"Dataset","integmet_study":"MTBLS3672","mesh_chemical_id":["https://identifiers.org/mesh:D013213","https://identifiers.org/mesh:D000073893","https://identifiers.org/mesh:D005680","https://identifiers.org/mesh:D014238","https://identifiers.org/mesh:D003545","https://identifiers.org/mesh:C030985","https://identifiers.org/mesh:D005978","https://identifiers.org/mesh:D014508","https://identifiers.org/mesh:D008320"],"mesh_chemical_pubtator_kw":["starch","sugar","GABA","TCA","cysteine","purine","glutathione","urea","maltose"],"source_id":"https://identifiers.org/metabolights:MTBLS3672","study_findings":"Identified stress signatures; changes in central metabolism; oxidative stress importance.","study_observation":"Arabidopsis thaliana seedling responses to heat, cold, water-deficit, and high-light stress.","study_summary":"Metabolic responses of Arabidopsis to abiotic stress.","study_title_original":"Metabolic signatures of Arabidopsis thaliana abiotic stress responses elucidate patterns in stress priming, acclimation, and recovery"},{"@type":"Dataset","integmet_study":"MTBLS3676","mesh_chemical_id":["https://identifiers.org/mesh:D000073893","https://identifiers.org/mesh:D002726","https://identifiers.org/mesh:D011801"],"mesh_chemical_pubtator_kw":["sugars","CAs","chlorogenic acids","quinic acid"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:7130","https://identifiers.org/taxonomy:49451","https://identifiers.org/taxonomy:4097"],"ncbi_taxonomy_pubtator_kw":["Manduca sexta","Nicotiana attenuata","N. attenuata","tobacco"],"source_id":"https://identifiers.org/metabolights:MTBLS3676","study_findings":"Caterpillars reesterify plant defenses, reducing their effectiveness.","study_observation":"Rearrangement of plant defense pathways by Manduca sexta larvae.","study_summary":"Caterpillars disable plant defenses via metabolic rearrangement.","study_title_original":"The downside of metabolic diversity: Postingestive rearrangements by specialized insects"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:1902422"],"go_kw":["hydrogen production"],"integmet_study":"MTBLS37","mesh_chemical_id":["https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D013213","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D013455"],"mesh_chemical_pubtator_kw":["fatty acids","starch","lipid","sulfur"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3055"],"ncbi_taxonomy_pubtator_kw":["Chlamydomonas reinhardtii","C. reinhardtii","C.reinhardtii"],"source_id":"https://identifiers.org/metabolights:MTBLS37","study_findings":null,"study_observation":"Metabolic difference in H_2 production yield between C. reinhardtii strains.","study_summary":"Comparison of metabolic differences in H_2 production.","study_title_original":"Evaluation of algorithms for multiple alignment of GCxGC-MS data"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0060348","https://identifiers.org/GO:0001503","https://identifiers.org/GO:0005737","https://identifiers.org/GO:0006351","https://identifiers.org/GO:0046849"],"go_kw":["bone development","bone formation","cytoplasm","transcription","bone remodeling"],"integmet_study":"MTBLS3725","mesh_chemical_id":["https://identifiers.org/mesh:C018524"],"mesh_chemical_pubtator_kw":["ADMA","asymmetric dimethylarginine"],"mesh_gene_id":["https://identifiers.org/ncbigene:23576","https://identifiers.org/ncbigene:6901","https://identifiers.org/ncbigene:4089"],"mesh_gene_pubtator_kw":["Ddah1","dimethylarginine dimethylaminohydrolase 1","TAZ","SMAD4"],"source_id":"https://identifiers.org/metabolights:MTBLS3725","study_findings":"Mechanical force down-regulates ADMA, enhancing bone formation.","study_observation":"Mechanical force regulation of ADMA via Ddah1 in osteoblasts.","study_summary":"Mechanical force enhances bone formation via Ddah1.","study_title_original":"Mechanical force promotes dimethylarginine dimethylaminohydrolase 1-mediated hydrolysis of the metabolite asymmetric dimethylarginine to enhance bone formation"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006629","https://identifiers.org/GO:0006568"],"go_kw":["lipid metabolism","tryptophan metabolism"],"integmet_study":"MTBLS375","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D014364","https://identifiers.org/mesh:D005961","https://identifiers.org/mesh:D010455","https://identifiers.org/mesh:C011006","https://identifiers.org/mesh:D017962"],"mesh_chemical_pubtator_kw":["lipid","tryptophan","glucosinolates","peptides","JA","JAs","Jasmonates","alpha-linolenic acid"],"mesh_gene_id":["https://identifiers.org/ncbigene:815160"],"mesh_gene_pubtator_kw":["opr3"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3702"],"ncbi_taxonomy_pubtator_kw":["Arabidopsis"],"source_id":"https://identifiers.org/metabolights:MTBLS375","study_findings":"Glucosinolates, tryptophan, amino acids, and lipid metabolism impacted by JA deficiency and MeJA treatment","study_observation":"Metabolites of Arabidopsis wild type and JA synthesis deficiency mutant opr3","study_summary":"MeJA effects on Arabidopsis metabolome with JA deficiency","study_title_original":"Effects of MeJA on Arabidopsis metabolome under endogenous JA deficiency"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006568","https://identifiers.org/GO:0019369"],"go_kw":["tryptophan metabolism","arachidonic acid metabolism"],"integmet_study":"MTBLS3750","mesh_chemical_id":["https://identifiers.org/mesh:C028009","https://identifiers.org/mesh:D007211","https://identifiers.org/mesh:D014364","https://identifiers.org/mesh:D016718","https://identifiers.org/mesh:C006452","https://identifiers.org/mesh:D005232","https://identifiers.org/mesh:D016264","https://identifiers.org/mesh:D001647"],"mesh_chemical_pubtator_kw":["Diallyl Disulfide","Diallyl disulfide","indoles","tryptophan","DADS","arachidonic acid","allicin","SCFA","dextran sulfate","bile acids"],"mesh_disease_id":["https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D007239"],"mesh_disease_pubtator_kw":["inflammatory","inflammation","C. albicans infection"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090","https://identifiers.org/taxonomy:1508657","https://identifiers.org/taxonomy:459786","https://identifiers.org/taxonomy:1301","https://identifiers.org/taxonomy:5476","https://identifiers.org/taxonomy:620","https://identifiers.org/taxonomy:562"],"ncbi_taxonomy_pubtator_kw":["mice","Ruminiclostridium","Oscillibacter","Streptococcus","C. albicans","Shigella","Mice","Escherichia"],"source_id":"https://identifiers.org/metabolights:MTBLS3750","study_findings":"DADS alters gut microbiota, increases SCFA-producing bacteria, and improves metabolic pathways in infected mice.","study_observation":"Gut microbiota, metabolites, body weight, survival, colon length, histological score, inflammatory cytokine levels.","study_summary":"DADS ameliorates intestinal C. albicans infection in mice.","study_title_original":"Diallyl disulfide (DADS) ameliorates intestinal Candida albicans infection by modulating the gut microbiota and metabolites and providing intestinal protection in mice"},{"@type":"Dataset","integmet_study":"MTBLS376","ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mice"],"source_id":"https://identifiers.org/metabolights:MTBLS376","study_findings":"Family and genus ranks are preferable for microbiome-host metabolite crosstalk analysis","study_observation":"Intestinal microbiome and metabolome in antibiotic-treated and untreated mice","study_summary":"Taxonomic classification of intestinal microbiome using 16S metagenomics","study_title_original":"Appropriate taxonomic classification of intestinal microbiome by 16S rRNA gene targeting metagenomic approach"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0060320","https://identifiers.org/GO:0005737","https://identifiers.org/GO:0008168","https://identifiers.org/GO:0009536","https://identifiers.org/GO:0005783","https://identifiers.org/GO:0010467"],"go_kw":["self-incompatibility","cytoplasm","methyltransferase activity","plastid","endoplasmic reticulum","gene expression"],"integmet_study":"MTBLS3769","mesh_chemical_id":["https://identifiers.org/mesh:D002110","https://identifiers.org/mesh:C026166","https://identifiers.org/mesh:D019301","https://identifiers.org/mesh:D005231","https://identifiers.org/mesh:D002392","https://identifiers.org/mesh:D009821"],"mesh_chemical_pubtator_kw":["caffeine","Theanine","oleic acid","unsaturated fatty acids","catechins","oil"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:1840588","https://identifiers.org/taxonomy:4442"],"ncbi_taxonomy_pubtator_kw":["C. lanceoleosa","Camellia lanceoleosa","Camellia sinensis"],"source_id":"https://identifiers.org/metabolights:MTBLS3769","study_findings":"Genome duplication, gene expansion in oil biosynthesis, caffeine distribution, self-incompatibility mechanism.","study_observation":"Chromosome-scale genome of Camellia lanceoleosa","study_summary":"Chromosome-scale genome of Camellia lanceoleosa analyzed.","study_title_original":"Chromosome\u2010level genome of"},{"@type":"Dataset","integmet_study":"MTBLS379","mesh_chemical_id":["https://identifiers.org/mesh:D011422","https://identifiers.org/mesh:D012694","https://identifiers.org/mesh:D019787","https://identifiers.org/mesh:D013912","https://identifiers.org/mesh:D002264","https://identifiers.org/mesh:D005998","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D010743"],"mesh_chemical_pubtator_kw":["propanoate","serine","linoleic acid","threonine","carboxylic acid","glycine","fatty acids","phospholipids"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:7460","https://identifiers.org/taxonomy:7461","https://identifiers.org/taxonomy:109461"],"ncbi_taxonomy_pubtator_kw":["honey bee","A. cerana","Varroa destructor","V. destructor","Apis cerana","honey bees"],"source_id":"https://identifiers.org/metabolights:MTBLS379","study_findings":"64 dysregulated metabolites identified; linoleic acid, propanoate, glycine, serine, threonine metabolism perturbed.","study_observation":"Metabolic changes in Apis cerana brain during Varroa destructor infestation.","study_summary":"Metabolomic profiling of infested Apis cerana brains.","study_title_original":"Brain metabolomic profiling of eastern honey bee (Apis cerana) infested with the mite Varroa destructor."},{"@type":"Dataset","integmet_study":"MTBLS3854","mesh_chemical_id":["https://identifiers.org/mesh:C010972","https://identifiers.org/mesh:D013654"],"mesh_chemical_pubtator_kw":["glycolaldehyde","Taurine"],"mesh_disease_id":["https://identifiers.org/mesh:D002869","https://identifiers.org/mesh:D011832","https://identifiers.org/mesh:D009369","https://identifiers.org/mesh:D002318"],"mesh_disease_pubtator_kw":["chromosomal aberration","radiation damage","cancer","cardiovascular diseases"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["human"],"source_id":"https://identifiers.org/metabolights:MTBLS3854","study_findings":"3-hydroxypropanoate and glycolaldehyde indicate radiation damage; taurine metabolism pathways differ under LLIR.","study_observation":"Metabolic phenotypic differences in LLIR and non-LLIR workers.","study_summary":"LLIR causes metabolic phenotype changes in workers.","study_title_original":"Long-term low-dose ionizing radiation induced chromosome-aberration-specific metabolic phenotype changes in radiation workers"},{"@type":"Dataset","integmet_study":"MTBLS3886","mesh_chemical_id":["https://identifiers.org/mesh:D012493","https://identifiers.org/mesh:D011392","https://identifiers.org/mesh:D013110","https://identifiers.org/mesh:D007545","https://identifiers.org/mesh:D001120","https://identifiers.org/mesh:D013107","https://identifiers.org/mesh:D020404","https://identifiers.org/mesh:C006065"],"mesh_chemical_pubtator_kw":["SMs","proline","Sphingosine","isoproterenol","arginine","L-Arginine","Isoproterenol","sphingolipid","glycerophospholipid","lysoPCs","ISO"],"mesh_disease_id":["https://identifiers.org/mesh:D008659","https://identifiers.org/mesh:D002318","https://identifiers.org/mesh:D013577","https://identifiers.org/mesh:D009202","https://identifiers.org/mesh:D017379","https://identifiers.org/mesh:D005355","https://identifiers.org/mesh:C562377"],"mesh_disease_pubtator_kw":["metabolism disorder","cardiovascular disease","cardiovascular diseases","phlegm-damp syndrome","myocardial injury","Metabolism disorder","Phlegm-damp syndrome","left ventricular hypertrophy","fibrosis","syndrome","Chinese Medicine"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mouse","mice"],"source_id":"https://identifiers.org/metabolights:MTBLS3886","study_findings":"Nontargeted metabolomics reveals serum metabolism profile for mechanism elucidation.","study_observation":"Myocardial injury induced by ISO, high temperature, humidity, and fat diet.","study_summary":"Study on myocardial injury in mice model.","study_title_original":"Metabolism Disorder Promotes Isoproterenol-induced Myocardial Injury in Mice with High Temperature and High Humidity and High-Fat Diet"},{"@type":"Dataset","integmet_study":"MTBLS3893","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D010743","https://identifiers.org/mesh:D002244","https://identifiers.org/mesh:D005459"],"mesh_chemical_pubtator_kw":["Lipid","fatty acid","phospholipids","carbon","fluoride"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:306"],"ncbi_taxonomy_pubtator_kw":["human","Pseudomonas sp"],"source_id":"https://identifiers.org/metabolights:MTBLS3893","study_findings":"Fluorinated phospholipids and fatty acids detected in strain 273.","study_observation":"Pseudomonas sp. strain 273 metabolizes fluorinated alkanes.","study_summary":"Pseudomonas sp. 273 incorporates organofluorine into lipids.","study_title_original":"<i>Pseudomonas</i> sp. Strain 273 Incorporates Organofluorine into the Lipid Bilayer during Growth with Fluorinated Alkanes"},{"@type":"Dataset","integmet_study":"MTBLS3916","mesh_chemical_id":["https://identifiers.org/mesh:D004811"],"mesh_chemical_pubtator_kw":["epichlorohydrin"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:85006","https://identifiers.org/taxonomy:51671","https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:200644"],"ncbi_taxonomy_pubtator_kw":["Micrococcales","Microbacterium sp.","human","Flavob a cteriales"],"source_id":"https://identifiers.org/metabolights:MTBLS3916","study_findings":"Proteobacteria and Patescibacteria dominate; 94 MAGs reconstructed; 105 dehalogenase genes identified.","study_observation":"Microbial community composition of industrial saponification wastewater.","study_summary":"Multi-omics identifies organohalide dehalogenation microorganisms.","study_title_original":"Community-integrated multi-omics facilitates screening and isolation of the organohalide dehalogenation microorganism"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005739","https://identifiers.org/GO:0005737","https://identifiers.org/GO:0016310","https://identifiers.org/GO:0006915","https://identifiers.org/GO:0140354"],"go_kw":["mitochondrion","cytoplasm","phosphorylation","apoptosis","lipid uptake"],"integmet_study":"MTBLS3927","mesh_chemical_id":["https://identifiers.org/mesh:C033435","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D006861","https://identifiers.org/mesh:D017382","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D000255"],"mesh_chemical_pubtator_kw":["BAIBA","lipid","H2O2","ROS","H2 O 2","reactive oxygen species","fatty acid","beta-Aminoisobutyric Acid","ATP"],"mesh_disease_id":["https://identifiers.org/mesh:D006333","https://identifiers.org/mesh:D028361","https://identifiers.org/mesh:D020257","https://identifiers.org/mesh:D009203","https://identifiers.org/mesh:D064420"],"mesh_disease_pubtator_kw":["heart failure","HF","Mitochondrial Dysfunction","cardiac remodeling","myocardial infarction","adverse","mitochondrial dysfunction"],"mesh_gene_id":["https://identifiers.org/ncbigene:78975","https://identifiers.org/ncbigene:100526635"],"mesh_gene_pubtator_kw":["AMPK","miR-208b"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10116"],"ncbi_taxonomy_pubtator_kw":["rat","Rats","rats"],"source_id":"https://identifiers.org/metabolights:MTBLS3927","study_findings":"BAIBA reduces stress and apoptosis through miR-208b/AMPK pathway.","study_observation":"Cardiomyocyte apoptosis, energy metabolism, mitochondrial dysfunction, BAIBA effects.","study_summary":"BAIBA reduces cardiomyocyte stress via miR-208b/AMPK.","study_title_original":"Exercise-generated \u03b2-aminoisobutyric acid (BAIBA) reduces cardiomyocytes metabolic stress and apoptosis caused by mitochondrial dysfunction through the miR-208b/AMPK pathway"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009117"],"go_kw":["nucleotide metabolism"],"integmet_study":"MTBLS3935","mesh_disease_id":["https://identifiers.org/mesh:D016889","https://identifiers.org/mesh:D009358","https://identifiers.org/mesh:D009369"],"mesh_disease_pubtator_kw":["EC","Endometrial Cancer","metabolomic disorders","tumor","cancer","gynecological cancers","Endometrial cancer"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["patients"],"source_id":"https://identifiers.org/metabolights:MTBLS3935","study_findings":"Amino acid and nucleotide metabolism pathways significant in EC diagnosis.","study_observation":"Metabolomics and proteomics of multiple biosamples in EC patients.","study_summary":"Multi-omic profiling reveals metabolic roles in EC.","study_title_original":"Multi-omic Profiling of Multi-Biosamples Reveals the Role of Amino Acid and Nucleotide Metabolism in Endometrial Cancer"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008652","https://identifiers.org/GO:0009058","https://identifiers.org/GO:0006113","https://identifiers.org/GO:0005737"],"go_kw":["amino acid biosynthesis","biosynthesis","fermentation","cytoplasm"],"integmet_study":"MTBLS3950","mesh_chemical_id":["https://identifiers.org/mesh:D014633","https://identifiers.org/mesh:D009842","https://identifiers.org/mesh:D007532","https://identifiers.org/mesh:D010649","https://identifiers.org/mesh:D014364"],"mesh_chemical_pubtator_kw":["L-valine","oligopeptides","L-isoleucine","L-phenylalanine","L-tryptophan"],"mesh_gene_id":["https://identifiers.org/ncbigene:106449582"],"mesh_gene_pubtator_kw":["oleosin-B2"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:4932"],"ncbi_taxonomy_pubtator_kw":["Saccharomyces cerevisiae"],"source_id":"https://identifiers.org/metabolights:MTBLS3950","study_findings":"Fermentation reduces allergenicity and increases nutritional properties of bee pollen.","study_observation":"Allergens in natural and fermented Brassica napus bee pollen.","study_summary":"Allergen reduction in fermented bee pollen.","study_title_original":"A Combined Proteomic and Metabolomic Strategy for Allergens Characterization in Natural and Fermented <em>Brassica napus</em> Bee Pollen"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0030073","https://identifiers.org/GO:0008152"],"go_kw":["insulin secretion","metabolic process"],"integmet_study":"MTBLS3963","mesh_chemical_id":["https://identifiers.org/mesh:D018846","https://identifiers.org/mesh:D000601"],"mesh_chemical_pubtator_kw":["EAAs","essential amino acids","EAA","essential amino acid"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10116"],"ncbi_taxonomy_pubtator_kw":["rat"],"source_id":"https://identifiers.org/metabolights:MTBLS3963","study_findings":"Metabolic fingerprints captured for individual EAA availability changes.","study_observation":"Metabolic differences in INS-1 \u03b2-cells with varying EAA levels.","study_summary":"Metabolic profiling of INS-1 \u03b2-cells with EAA changes.","study_title_original":"Metabolic profilings of rat INS-1 \u03b2-cells under changing levels of essential amino acids"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0065007","https://identifiers.org/GO:0009987"],"go_kw":["regulation","cellular process"],"integmet_study":"MTBLS40","mesh_chemical_id":["https://identifiers.org/mesh:C079164","https://identifiers.org/mesh:C030298","https://identifiers.org/mesh:D008715"],"mesh_chemical_pubtator_kw":["sinapoylmalate","malate","methionine"],"mesh_gene_id":["https://identifiers.org/ncbigene:821292","https://identifiers.org/ncbigene:831241"],"mesh_gene_pubtator_kw":["mto1","tt4"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3702","https://identifiers.org/taxonomy:4530"],"ncbi_taxonomy_pubtator_kw":["Arabidopsis thaliana","Arabidopsis","rice"],"source_id":"https://identifiers.org/metabolights:MTBLS40","study_findings":"mto1 shows loss of stability; tt4 shows adaptive network reconfiguration.","study_observation":"Metabolite accumulation and metabolic networks in Arabidopsis thaliana mutants.","study_summary":"Metabolic regulations in Arabidopsis thaliana mutants.","study_title_original":"Unbiased characterization of genotype-dependent metabolic regulations by metabolomic approach in Arabidopsis thaliana"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0055088","https://identifiers.org/GO:0060041","https://identifiers.org/GO:0005929"],"go_kw":["lipid homeostasis","retinal development","primary cilia"],"integmet_study":"MTBLS4013","mesh_chemical_id":["https://identifiers.org/mesh:D002784","https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["cholesterol","lipid"],"mesh_disease_id":["https://identifiers.org/mesh:D014786","https://identifiers.org/mesh:C567932","https://identifiers.org/mesh:D020788","https://identifiers.org/mesh:D012162","https://identifiers.org/mesh:D000072661"],"mesh_disease_pubtator_kw":["visual deficits","OS morphological anomalies","Bardet-Biedl syndrome","retinal degeneration","BBS","Retinal degeneration","ciliopathies","ciliopathy disorders"],"mesh_gene_id":["https://identifiers.org/ncbigene:568986"],"mesh_gene_pubtator_kw":["Bbs1","BBS1","bbs1"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:7955"],"ncbi_taxonomy_pubtator_kw":["zebrafish"],"source_id":"https://identifiers.org/metabolights:MTBLS4013","study_findings":"Bbs1-loss disrupts OS lipid homeostasis, leading to visual deficits and retinal degeneration.","study_observation":"Retinal development, photoreceptor differentiation, OS protein and lipid composition in bbs1 zebrafish mutant.","study_summary":"Bbs1 affects photoreceptor protein and lipid composition.","study_title_original":"The Bardet-Biedl protein Bbs1 controls photoreceptor outer segment protein and lipid composition"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0050853"],"go_kw":["B cell receptor signaling pathway"],"integmet_study":"MTBLS4015","mesh_chemical_id":["https://identifiers.org/mesh:C025059","https://identifiers.org/mesh:D008244","https://identifiers.org/mesh:D008246","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:C026223"],"mesh_chemical_pubtator_kw":["lysophosphatidylserine","lysophosphatidylcholine","lysophospholipids","lipid","lipids","lysophosphatidylglycerol"],"mesh_disease_id":["https://identifiers.org/mesh:D014120","https://identifiers.org/mesh:D007239","https://identifiers.org/mesh:D007249"],"mesh_disease_pubtator_kw":["toxocariasis","infection","inflammatory"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:6265","https://identifiers.org/taxonomy:9615"],"ncbi_taxonomy_pubtator_kw":["T. canis","beagle dogs","Toxocara canis"],"source_id":"https://identifiers.org/metabolights:MTBLS4015","study_findings":"T. canis infection alters hepatic lipid metabolites affecting toxocariasis pathophysiology.","study_observation":"Lipid alterations in Beagle dog's liver post T. canis infection.","study_summary":"Lipid changes in Beagle dogs with T. canis infection.","study_title_original":"Lipidomic Changes in the Liver of Beagle Dogs Associated with Toxocara canis Infection"},{"@type":"Dataset","integmet_study":"MTBLS403","mesh_chemical_id":["https://identifiers.org/mesh:D002392","https://identifiers.org/mesh:C041477"],"mesh_chemical_pubtator_kw":["catechins","flavonol"],"mesh_disease_id":["https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D009369"],"mesh_disease_pubtator_kw":["inflammatory","cancer"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:4442"],"ncbi_taxonomy_pubtator_kw":["black tea"],"source_id":"https://identifiers.org/metabolights:MTBLS403","study_findings":"Significant differences in metabolites between white, green, and black teas.","study_observation":"Metabolites in white tea with different withering durations.","study_summary":"White tea metabolome compared to green and black tea.","study_title_original":"Characterization of white tea metabolome: comparison against green and black tea by a nontargeted metabolomics approach."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008152","https://identifiers.org/GO:0072690","https://identifiers.org/GO:0009058","https://identifiers.org/GO:0044838","https://identifiers.org/GO:0006006","https://identifiers.org/GO:0006351","https://identifiers.org/GO:0006914"],"go_kw":["metabolism","stationary phase","biosynthesis","quiescence","glucose metabolism","transcription","autophagy"],"integmet_study":"MTBLS4046","mesh_chemical_id":["https://identifiers.org/mesh:D005947","https://identifiers.org/mesh:D002244"],"mesh_chemical_pubtator_kw":["glucose","carbon"],"mesh_disease_id":["https://identifiers.org/mesh:D003141","https://identifiers.org/mesh:D007896"],"mesh_disease_pubtator_kw":["infectious disease","Leishmania"],"mesh_gene_id":["https://identifiers.org/ncbigene:89782"],"mesh_gene_pubtator_kw":["GP63"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:38568"],"ncbi_taxonomy_pubtator_kw":["Leishmania"],"source_id":"https://identifiers.org/metabolights:MTBLS4046","study_findings":"Quiescent cells show reduced transcription and metabolism; some transcripts and metabolites are upregulated.","study_observation":"Transcriptome and metabolome of Leishmania promastigotes and amastigotes under quiescence.","study_summary":"Leishmania quiescence transcriptional and metabolic adaptations studied.","study_title_original":"Transcriptional Shift and Metabolic Adaptations during Leishmania Quiescence Using Stationary Phase and Drug Pressure as Models"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006541","https://identifiers.org/GO:0006865","https://identifiers.org/GO:0008283"],"go_kw":["glutamine metabolism","amino acid transport","cell proliferation"],"integmet_study":"MTBLS405","mesh_chemical_id":["https://identifiers.org/mesh:D001565","https://identifiers.org/mesh:D012694","https://identifiers.org/mesh:C030371","https://identifiers.org/mesh:D005998","https://identifiers.org/mesh:D011685","https://identifiers.org/mesh:D005492"],"mesh_chemical_pubtator_kw":["Benzoate","serine","THF","glycine","tetrahydrofolate","benzoate","purine nucleotide","folate"],"mesh_disease_id":["https://identifiers.org/mesh:D020158","https://identifiers.org/mesh:D009369","https://identifiers.org/mesh:D008175"],"mesh_disease_pubtator_kw":["hyperglycinemia","tumors","lung and other cancers","cancers","Cancer","tumor","cancer"],"mesh_gene_id":["https://identifiers.org/ncbigene:10965","https://identifiers.org/ncbigene:2746","https://identifiers.org/ncbigene:6472"],"mesh_gene_pubtator_kw":["ACOT2","GLUD1","Serine hydroxymethyltransferase 2","SHMT2"],"source_id":"https://identifiers.org/metabolights:MTBLS405","study_findings":"SHMT2 regulates redox balance; suppression affects glutaminolysis; benzoate reduces tumor growth.","study_observation":"Proteomic and metabolic changes in engineered HeLa cells with altered SHMT2 expression.","study_summary":"SHMT2 affects cancer cell proteomics and metabolomics.","study_title_original":"Proteomic and metabolic changes in cancer cells after alternation of SHMT2 expressions"},{"@type":"Dataset","integmet_study":"MTBLS409","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D014280","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D010743","https://identifiers.org/mesh:D020404"],"mesh_chemical_pubtator_kw":["lipid","triglycerides","fatty acids","lipids","phospholipids","Lipids","glycerophospholipids"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:94989","https://identifiers.org/taxonomy:104022"],"ncbi_taxonomy_pubtator_kw":["L. japonica","Lysiphlebia japonica"],"source_id":"https://identifiers.org/metabolights:MTBLS409","study_findings":"Glycerolipids and glycerophospholipids identified; lipid accumulation in pupae; up-regulated gene transcription in larvae.","study_observation":"Lipids and gene transcripts in Lysiphlebia japonica larvae and pupae.","study_summary":"Lipidomics and transcriptomics in Lysiphlebia japonica.","study_title_original":"RNA-Seq and UHPLC-Q-TOF/MS Based Lipidomics Study in Lysiphlebia japonica."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0016114","https://identifiers.org/GO:0009058","https://identifiers.org/GO:0015979","https://identifiers.org/GO:0009813"],"go_kw":["terpenoid biosynthesis","biosynthesis","photosynthesis","flavonoid biosynthesis"],"integmet_study":"MTBLS4099","mesh_chemical_id":["https://identifiers.org/mesh:D013729","https://identifiers.org/mesh:D005461","https://identifiers.org/mesh:D005419","https://identifiers.org/mesh:D004224","https://identifiers.org/mesh:D002734"],"mesh_chemical_pubtator_kw":["terpenoid","F","flavonoid","terpenoids","Terpenoid","Flavonoid","flavonoids","diterpenoids","chlorophyll"],"mesh_gene_id":["https://identifiers.org/ncbigene:1130","https://identifiers.org/ncbigene:5792"],"mesh_gene_pubtator_kw":["CHS","LAR"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:99810","https://identifiers.org/taxonomy:207839"],"ncbi_taxonomy_pubtator_kw":["Cryptomeria fortunei","C. fortunei"],"source_id":"https://identifiers.org/metabolights:MTBLS4099","study_findings":"Seasonal changes impact photosynthesis, terpenoid, and flavonoid biosynthesis pathways.","study_observation":"C. fortunei needle metabolite and gene expression changes across seasons.","study_summary":"Seasonal effects on C. fortunei metabolome and transcriptome.","study_title_original":"Transcriptome and Metabolome Analyses Reveal Differences in Terpenoid and Flavonoid Biosynthesis in Cryptomeria fortunei Needles Across Different Seasons"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006099","https://identifiers.org/GO:0006096"],"go_kw":["tricarboxylic acid cycle","glycolysis"],"integmet_study":"MTBLS410","mesh_chemical_id":["https://identifiers.org/mesh:D014280","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D014233","https://identifiers.org/mesh:D020404","https://identifiers.org/mesh:D013109"],"mesh_chemical_pubtator_kw":["TAGs","lipid","Lipid","triacylglycerols","tricarboxylic acid","triacylglycerol","glycerophospholipid","sphingomyelin","Lipids","glycerophospholipids"],"mesh_disease_id":["https://identifiers.org/mesh:C000719201"],"mesh_disease_pubtator_kw":["insect pest"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:80765","https://identifiers.org/taxonomy:104022"],"ncbi_taxonomy_pubtator_kw":["Aphis gossypii","Lysiphlebia japonica"],"source_id":"https://identifiers.org/metabolights:MTBLS410","study_findings":"Parasitism alters TAGs, glycerophospholipids, and gene expression in lipid metabolism.","study_observation":"Lipid metabolism changes in Aphis gossypii parasitized by Lysiphlebia japonica.","study_summary":"Lipid regulation in parasitized Aphis gossypii.","study_title_original":"Lipidomics and RNA-Seq Study of Lipid Regulation in Aphis gossypii parasitized by Lysiphlebia japonica"},{"@type":"Dataset","integmet_study":"MTBLS4108","mesh_chemical_id":["https://identifiers.org/mesh:D005632","https://identifiers.org/mesh:D005947","https://identifiers.org/mesh:D014280","https://identifiers.org/mesh:D013395","https://identifiers.org/mesh:D005419","https://identifiers.org/mesh:D000073893"],"mesh_chemical_pubtator_kw":["fructose","glucose","triglyceride","sucrose","flavonoids","sugars"],"mesh_disease_id":["https://identifiers.org/mesh:D024821","https://identifiers.org/mesh:D007333"],"mesh_disease_pubtator_kw":["metabolic syndromes","insulin resistance"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10116"],"ncbi_taxonomy_pubtator_kw":["rat","rats","Rattus norvegicus"],"source_id":"https://identifiers.org/metabolights:MTBLS4108","study_findings":"FJ improves gut diversity; FB causes insulin resistance and renal triglyceride accumulation.","study_observation":"Gut microbiota and metabolomics in FJ and FB intake.","study_summary":"Comparative analysis of FJ and FB in rats.","study_title_original":"Health outcomes of fruit juice and fruity beverage: a comparative analysis of gut microbiota and metabolomics in rats (Lipidomics assay)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0140359","https://identifiers.org/GO:0042710","https://identifiers.org/GO:0015914"],"go_kw":["ABC transporters","biofilm formation","phospholipid transport"],"integmet_study":"MTBLS4132","mesh_chemical_id":["https://identifiers.org/mesh:D008070","https://identifiers.org/mesh:D015780","https://identifiers.org/mesh:D017382","https://identifiers.org/mesh:D005840","https://identifiers.org/mesh:D013107","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D002244","https://identifiers.org/mesh:D020404"],"mesh_chemical_pubtator_kw":["LPS","carbapenem","ROS","crystal violet","reactive oxygen species","sphingolipids","fatty acids","lipids","carbon","glycerophospholipids"],"mesh_disease_id":["https://identifiers.org/mesh:D007710"],"mesh_disease_pubtator_kw":["Klebsiella pneumoniae","CRKP"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:573"],"ncbi_taxonomy_pubtator_kw":["K. pneumoniae","Klebsiella pneumoniae"],"source_id":"https://identifiers.org/metabolights:MTBLS4132","study_findings":"Membrane remodeling and inhibited central carbon metabolism contribute to resistance.","study_observation":"Polymyxin B resistance in Klebsiella pneumoniae.","study_summary":"Polymyxin B resistance mechanisms in Klebsiella pneumoniae.","study_title_original":"Cell Membrane Remodeling Mediates Polymyxin B Resistance in <i>Klebsiella pneumoniae</i>: An Integrated Proteomics and Metabolomics Study."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0003723"],"go_kw":["RNA binding"],"integmet_study":"MTBLS4176","mesh_disease_id":["https://identifiers.org/mesh:D001024","https://identifiers.org/mesh:D018636","https://identifiers.org/mesh:D018376","https://identifiers.org/mesh:C563242","https://identifiers.org/mesh:D009202"],"mesh_disease_pubtator_kw":["ventricular, valve, and aortic deficiencies","HLHS","cardiovascular defects","myocardial intrinsic defects","hypoplastic left heart syndrome","myocardial defects","Hypoplastic left heart syndrome"],"mesh_gene_id":["https://identifiers.org/ncbigene:23543"],"mesh_gene_pubtator_kw":["RBFOX2"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:7955"],"ncbi_taxonomy_pubtator_kw":["humans","zebrafish","patients","human"],"source_id":"https://identifiers.org/metabolights:MTBLS4176","study_findings":"RBFOX2 mutations cause HLHS via myocardial dysfunction.","study_observation":"Zebrafish lacking RBFOX2 orthologs show cardiovascular defects.","study_summary":"Rbfox2 mutations cause HLHS in zebrafish.","study_title_original":"Myocardial-intrinsic defects underlie an Rbfox-mediated zebrafish model of hypoplastic left heart syndrome"},{"@type":"Dataset","integmet_study":"MTBLS4186","ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["human","mice"],"source_id":"https://identifiers.org/metabolights:MTBLS4186","study_findings":"Altered gut microbiota and metabolic profile linked to 4.9 GHz RF exposure.","study_observation":"Fecal microbiome and metabolome profiles in mice","study_summary":"5G RF affects mice gut microbiome and metabolome.","study_title_original":"Effects of Radiofrequency Field from 5G Communications on fecal microbiome and metabolome profiles in mice"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0019695"],"go_kw":["choline metabolism"],"integmet_study":"MTBLS4187","mesh_chemical_id":["https://identifiers.org/mesh:D002794","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D013107","https://identifiers.org/mesh:D020404","https://identifiers.org/mesh:D063388"],"mesh_chemical_pubtator_kw":["choline","lipid","sphingolipid","glycerophospholipid","endocannabinoid"],"mesh_disease_id":["https://identifiers.org/mesh:D014376","https://identifiers.org/mesh:D014394","https://identifiers.org/mesh:D007239"],"mesh_disease_pubtator_kw":["tuberculosis diseases","Osteoarticular tuberculosis","Osteoarticular Tuberculosis","infection","tuberculosis","infection of tuberculosis","osteoarticular tuberculosis"],"mesh_gene_id":["https://identifiers.org/ncbigene:5120"],"mesh_gene_pubtator_kw":["PC[o"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:1773"],"ncbi_taxonomy_pubtator_kw":["patients","Patients","Mycobacterium tuberculosis"],"source_id":"https://identifiers.org/metabolights:MTBLS4187","study_findings":"68 differential metabolites identified; lipid metabolism plays a role in tuberculosis pathology.","study_observation":"Serum metabolites in osteoarticular tuberculosis patients, disease controls, and healthy controls.","study_summary":"Identified serum biomarkers for osteoarticular tuberculosis diagnosis.","study_title_original":"Novel Potential Diagnostic Serum Biomarkers of Metabolomics in Osteoarticular Tuberculosis Patients: A Preliminary Study"},{"@type":"Dataset","integmet_study":"MTBLS42","mesh_chemical_id":["https://identifiers.org/mesh:D012492"],"mesh_chemical_pubtator_kw":["salt"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3702","https://identifiers.org/taxonomy:4530","https://identifiers.org/taxonomy:34305"],"ncbi_taxonomy_pubtator_kw":["Arabidopsis thaliana","Oryza sativa","Lotus japonicus"],"source_id":"https://identifiers.org/metabolights:MTBLS42","study_findings":"Conserved and divergent metabolic responses; amino acids and organic acids balance change.","study_observation":"Metabolic responses to long-term salt stress in Arabidopsis thaliana.","study_summary":"Metabolic responses to salt stress in plants.","study_title_original":"Mining for metabolic responses to long-term salt stress: a case study on Arabidopsis thaliana Col-0 (C)"},{"@type":"Dataset","integmet_study":"MTBLS4206","mesh_chemical_id":["https://identifiers.org/mesh:C005682","https://identifiers.org/mesh:D005973","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D001647","https://identifiers.org/mesh:D010205"],"mesh_chemical_pubtator_kw":["dihydrosphingosine","glutamine","lipid","bile acid","pantothenic acid"],"mesh_disease_id":["https://identifiers.org/mesh:D001172","https://identifiers.org/mesh:D015535","https://identifiers.org/mesh:D007592"],"mesh_disease_pubtator_kw":["Rheumatoid Arthritis","Psoriatic arthritis","Psoriatic Arthritis","PsA.","RA","PsA","rheumatoid arthritis","inflammatory joint disease"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["patients"],"source_id":"https://identifiers.org/metabolights:MTBLS4206","study_findings":"154 metabolites altered in PsA; 5 biomarkers identified.","study_observation":"Fecal metabolites in PsA, RA, and healthy controls.","study_summary":"Fecal metabolomics identifies PsA biomarkers.","study_title_original":"Altered fecal metabolomics and potential biomarkers of psoriatic arthritis differing from rheumatoid arthritis"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0022900","https://identifiers.org/GO:0006099","https://identifiers.org/GO:0008219","https://identifiers.org/GO:0006096"],"go_kw":["electron transport chain (ETC)","TCA cycle","cell death","glycolysis"],"integmet_study":"MTBLS4223","mesh_chemical_id":["https://identifiers.org/mesh:D014233","https://identifiers.org/mesh:D000255"],"mesh_chemical_pubtator_kw":["tricarboxylic acid","adenosine triphosphate","TCA","ATP"],"mesh_gene_id":["https://identifiers.org/ncbigene:4967"],"mesh_gene_pubtator_kw":["OGDH"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["Human","human"],"source_id":"https://identifiers.org/metabolights:MTBLS4223","study_findings":"OGDH is crucial for mitochondrial respiration and primed pluripotency in hESCs.","study_observation":"Role of OGDH in mitochondrial respiration of primed hESCs.","study_summary":"OGDH regulates mitochondrial respiration in primed hESCs.","study_title_original":"The functional role of OGDH for maintaining mitochondrial respiration and identity of primed human embryonic stem cells"},{"@type":"Dataset","integmet_study":"MTBLS423","mesh_chemical_id":["https://identifiers.org/mesh:D013433","https://identifiers.org/mesh:D013107","https://identifiers.org/mesh:D002518","https://identifiers.org/mesh:D013109"],"mesh_chemical_pubtator_kw":["sulfatide","Sphingolipid","sphingolipid","ceramide","sphingomyelin"],"mesh_disease_id":["https://identifiers.org/mesh:D008659","https://identifiers.org/mesh:D002318","https://identifiers.org/mesh:D003924","https://identifiers.org/mesh:D009765"],"mesh_disease_pubtator_kw":["metabolic diseases","cardiovascular disease","type 2 diabetes","obesity"],"source_id":"https://identifiers.org/metabolights:MTBLS423","study_findings":"Decreased sphingolipid metabolites linked to improved HbA1c after intervention.","study_observation":"Metabolic signatures in prepubertal children with obesity.","study_summary":"Lifestyle intervention affects sphingolipid metabolism in obese children.","study_title_original":"Untargeted metabolomics identifies a plasma sphingolipid-related signature associated with lifestyle intervention in prepubertal children with obesity"},{"@type":"Dataset","integmet_study":"MTBLS4249","mesh_chemical_id":["https://identifiers.org/mesh:D014544","https://identifiers.org/mesh:D008715"],"mesh_chemical_pubtator_kw":["UTP","methionine"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:562"],"ncbi_taxonomy_pubtator_kw":["E. coli","Escherichia coli"],"source_id":"https://identifiers.org/metabolights:MTBLS4249","study_findings":"E.coli maintains narrow concentration ranges for protein and RNA building blocks.","study_observation":"Metabolite concentration changes in Escherichia coli under 19 conditions.","study_summary":"E.coli metabolome homeostasis under various conditions.","study_title_original":"Homeostasis of the biosynthetic E.\u00a0coli metabolome"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008283","https://identifiers.org/GO:0098657","https://identifiers.org/GO:0006810","https://identifiers.org/GO:0031012","https://identifiers.org/GO:0005886","https://identifiers.org/GO:0044237"],"go_kw":["cell proliferation","uptake","transport","extracellular matrix","cell membrane","cellular metabolism"],"integmet_study":"MTBLS426","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D004075","https://identifiers.org/mesh:D010955","https://identifiers.org/mesh:D010713","https://identifiers.org/mesh:D014280"],"mesh_chemical_pubtator_kw":["lipid","diacylglycerol","plasmalogens","phosphatidylcholines","triglycerides"],"mesh_disease_id":["https://identifiers.org/mesh:D044342","https://identifiers.org/mesh:D005317","https://identifiers.org/mesh:D006331","https://identifiers.org/mesh:D018487"],"mesh_disease_pubtator_kw":["maternal undernutrition","intrauterine growth restriction","cardiac","left ventricular fibrosis","nutrition","IUGR"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9557"],"ncbi_taxonomy_pubtator_kw":["baboons"],"source_id":"https://identifiers.org/metabolights:MTBLS426","study_findings":"Male IUGR fetuses showed left ventricular fibrosis; increased TSP-1 expression.","study_observation":"Fetal cardiac structure and metabolism in IUGR baboon model.","study_summary":"Fetal cardiac response to maternal nutrient restriction.","study_title_original":"Sexual dimorphism in the fetal cardiac response to maternal nutrient restriction."},{"@type":"Dataset","integmet_study":"MTBLS43","mesh_chemical_id":["https://identifiers.org/mesh:D012965","https://identifiers.org/mesh:C024617","https://identifiers.org/mesh:D012492","https://identifiers.org/mesh:D010758","https://identifiers.org/mesh:D013455","https://identifiers.org/mesh:D011188","https://identifiers.org/mesh:D008982","https://identifiers.org/mesh:D000073893"],"mesh_chemical_pubtator_kw":["NaCl","polyols","salt","phosphorus","sulphur","potassium","molybdenum","sugars"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:34305"],"ncbi_taxonomy_pubtator_kw":["Lotus japonicus"],"source_id":"https://identifiers.org/metabolights:MTBLS43","study_findings":"Core robust changes shared between experiments; many responses not reproducible.","study_observation":"Metabolic, ionomic, and transcriptomic responses to long-term salt stress.","study_summary":"Metabolic responses to salt stress in Lotus japonicus.","study_title_original":"Mining for metabolic responses to long-term salt stress: a case study on the model legume Lotus japonicus (A)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005856","https://identifiers.org/GO:0005739","https://identifiers.org/GO:0001525","https://identifiers.org/GO:0005634","https://identifiers.org/GO:0006099","https://identifiers.org/GO:0016477"],"go_kw":["cytoskeleton","mitochondria","angiogenesis","nucleus","TCA cycle","cell migration"],"integmet_study":"MTBLS4307","mesh_chemical_id":["https://identifiers.org/mesh:D008316","https://identifiers.org/mesh:D014238"],"mesh_chemical_pubtator_kw":["malonyl-CoA","TCA"],"mesh_disease_id":["https://identifiers.org/mesh:D006528","https://identifiers.org/mesh:D009369","https://identifiers.org/mesh:D009362"],"mesh_disease_pubtator_kw":["HCC metastasis","cancer metastasis","liver cancer metastasis","lung metastasis","metastasis of","tumor","HCC","liver cancer"],"mesh_gene_id":["https://identifiers.org/ncbigene:56419","https://identifiers.org/ncbigene:21780","https://identifiers.org/ncbigene:7019"],"mesh_gene_pubtator_kw":["mDia2","TFAM"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["patients","mice"],"source_id":"https://identifiers.org/metabolights:MTBLS4307","study_findings":"TFAM loss induces nuclear actin assembly, promoting liver cancer metastasis via mitochondria-to-nucleus signaling.","study_observation":"TFAM deficiency, nuclear actin polymerization, mDia2 malonylation, liver cancer metastasis","study_summary":"TFAM loss promotes liver cancer metastasis.","study_title_original":"TFAM loss induces nuclear actin assembly upon mDia2 malonylation to promote liver cancer metastasis."},{"@type":"Dataset","integmet_study":"MTBLS435","mesh_chemical_id":["https://identifiers.org/mesh:C000615229","https://identifiers.org/mesh:C016299","https://identifiers.org/mesh:C005705","https://identifiers.org/mesh:D014443"],"mesh_chemical_pubtator_kw":["13C","CHE","SAN","tyrosine","sanguinarine","chelerythrine"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:56857"],"ncbi_taxonomy_pubtator_kw":["Macleaya cordata"],"source_id":"https://identifiers.org/metabolights:MTBLS435","study_findings":"16 metabolic genes for SAN and CHE identified; 14 validated.","study_observation":"Biosynthesis of SAN and CHE in Macleaya cordata.","study_summary":"Genome sequencing of Macleaya cordata for BIA metabolism.","study_title_original":"The Genome of Medicinal Plant Macleaya cordata Provides New Insights into Benzylisoquinoline Alkaloids Metabolism"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009699","https://identifiers.org/GO:0052386"],"go_kw":["phenylpropanoid biosynthesis","cell wall thickening"],"integmet_study":"MTBLS4365","mesh_chemical_id":["https://identifiers.org/mesh:C099724","https://identifiers.org/mesh:C004999","https://identifiers.org/mesh:D020156","https://identifiers.org/mesh:D014315","https://identifiers.org/mesh:C099798","https://identifiers.org/mesh:D003373"],"mesh_chemical_pubtator_kw":["sakuranetin","ferulic acid","salicylic acid","triterpenoids","caffeoylmalic acid","hydroxycinnamic acids"],"mesh_disease_id":["https://identifiers.org/mesh:D000067562"],"mesh_disease_pubtator_kw":["Late blight","late blight"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:4113","https://identifiers.org/taxonomy:4787"],"ncbi_taxonomy_pubtator_kw":["potato","Potato","Phytophthora infestans","potatoes"],"source_id":"https://identifiers.org/metabolights:MTBLS4365","study_findings":"819 metabolites identified; 198 and 115 DEMs in interactions.","study_observation":"Metabolite changes in potato cultivars post P. infestans inoculation.","study_summary":"Metabolomic profiling of potato-P. infestans interactions.","study_title_original":"Comparative Metabolomic Profiling of Compatible and Incompatible Interactions Between Potato and Phytophthora infestans"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0035194","https://identifiers.org/GO:0008152"],"go_kw":["RNA interference","metabolism"],"integmet_study":"MTBLS437","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D002241"],"mesh_chemical_pubtator_kw":["lipids","carbohydrates"],"mesh_disease_id":["https://identifiers.org/mesh:D007410","https://identifiers.org/mesh:D002771"],"mesh_disease_pubtator_kw":["infection of the intestine","cholera"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:4530","https://identifiers.org/taxonomy:666"],"ncbi_taxonomy_pubtator_kw":["human","Oryza sativa L.","Rice","rice","Vibrio cholerae"],"source_id":"https://identifiers.org/metabolights:MTBLS437","study_findings":"Overall effects of genetic engineering on rice seed metabolism","study_observation":"Non-targeted metabolomic profiling of MucoRice-CTB","study_summary":"Metabolomic profiling of transgenic rice for cholera vaccine.","study_title_original":"Seed Metabolome Analysis of a Transgenic Rice Line Expressing Cholera Toxin B-subunit"},{"@type":"Dataset","integmet_study":"MTBLS4387","mesh_chemical_id":["https://identifiers.org/mesh:C030514","https://identifiers.org/mesh:C031571","https://identifiers.org/mesh:D006639","https://identifiers.org/mesh:D001120","https://identifiers.org/mesh:C031345","https://identifiers.org/mesh:D001654","https://identifiers.org/mesh:D009952","https://identifiers.org/mesh:D013107","https://identifiers.org/mesh:D013256","https://identifiers.org/mesh:D010649","https://identifiers.org/mesh:D014633","https://identifiers.org/mesh:D001647"],"mesh_chemical_pubtator_kw":["hippurate","20-hydroxy-leukotriene B4","histidine","arginine","pipecolate","bile pigments","ornithine","sphingolipid","steroid hormones","phenylalanine","valine","bile acids"],"mesh_disease_id":["https://identifiers.org/mesh:D016779","https://identifiers.org/mesh:D008288"],"mesh_disease_pubtator_kw":["cerebral malaria","uncomplicated malaria","Severe malaria","malaria infections","Malaria","malaria disease","malaria","Severe Malaria","severe malaria"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:418103","https://identifiers.org/taxonomy:10090","https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["Plasmodium","mice","human"],"source_id":"https://identifiers.org/metabolights:MTBLS4387","study_findings":"Shared metabolic attributes in malaria; specific metabolite changes in severe and cerebral malaria.","study_observation":"Host metabolic pathways and metabolites in murine malaria models.","study_summary":"Metabolic changes in murine malaria models studied.","study_title_original":"Comparative Analysis of Host Metabolic Alterations in Murine Malaria Models with Uncomplicated or Severe Malaria"},{"@type":"Dataset","integmet_study":"MTBLS44","mesh_chemical_id":["https://identifiers.org/mesh:D012965","https://identifiers.org/mesh:C024617","https://identifiers.org/mesh:D012492","https://identifiers.org/mesh:D010758","https://identifiers.org/mesh:D013455","https://identifiers.org/mesh:D011188","https://identifiers.org/mesh:D008982","https://identifiers.org/mesh:D000073893"],"mesh_chemical_pubtator_kw":["NaCl","polyols","salt","phosphorus","sulphur","potassium","molybdenum","sugars"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:34305"],"ncbi_taxonomy_pubtator_kw":["Lotus japonicus"],"source_id":"https://identifiers.org/metabolights:MTBLS44","study_findings":"Core robust changes shared between experiments; many responses not reproducible.","study_observation":"Ionomic, transcriptomic, and metabolomic responses to salt stress in Lotus japonicus.","study_summary":"Study on Lotus japonicus salt stress responses.","study_title_original":"Mining for metabolic responses to long-term salt stress: a case study on the model legume Lotus japonicus (B)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008152"],"go_kw":["metabolism"],"integmet_study":"MTBLS4431","mesh_chemical_id":["https://identifiers.org/mesh:D001647","https://identifiers.org/mesh:D008095","https://identifiers.org/mesh:D014580"],"mesh_chemical_pubtator_kw":["bile acid","lithocholic acid","ursodeoxycholic acid"],"mesh_disease_id":["https://identifiers.org/mesh:D002313","https://identifiers.org/mesh:D015430","https://identifiers.org/mesh:D015431"],"mesh_disease_pubtator_kw":["calorie restriction","Calorie restriction","weight gain","weight reduction"],"mesh_gene_id":["https://identifiers.org/ncbigene:14526","https://identifiers.org/ncbigene:22227"],"mesh_gene_pubtator_kw":["GLP-1","UCP1"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090","https://identifiers.org/taxonomy:823"],"ncbi_taxonomy_pubtator_kw":["mice","Parabacteroides distasonis"],"source_id":"https://identifiers.org/metabolights:MTBLS4431","study_findings":"Parabacteroides distasonis and bile acids affect weight regain via thermogenesis.","study_observation":"Gut microbiota and bile acid changes after calorie restriction and high-fat diet.","study_summary":"Gut microbiota affects weight regain post-calorie restriction.","study_title_original":"Gut microbiota-bile acid crosstalk contributes to the rebound weight gain after calorie restriction in mice"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008152","https://identifiers.org/GO:0016310","https://identifiers.org/GO:0044412","https://identifiers.org/GO:0009058","https://identifiers.org/GO:0009406","https://identifiers.org/GO:0044550","https://identifiers.org/GO:0006412","https://identifiers.org/GO:0008610","https://identifiers.org/GO:0006351"],"go_kw":["metabolism","phosphorylation","invasive growth","biosynthesis","virulence","secondary metabolite biosynthesis","translation","lipid biosynthesis","transcription"],"integmet_study":"MTBLS4463","mesh_chemical_id":["https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["lipids","lipid"],"mesh_disease_id":["https://identifiers.org/mesh:D009181","https://identifiers.org/mesh:D013281"],"mesh_disease_pubtator_kw":["fungal infection","canker disease"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:252740"],"ncbi_taxonomy_pubtator_kw":["Cytospora chrysosperma","C. chrysosperma"],"source_id":"https://identifiers.org/metabolights:MTBLS4463","study_findings":"CcPmk1 regulates fungal growth, conidiation, and virulence in C. chrysosperma.","study_observation":"Phosphoproteomes and metabolomes of \u0394CcPmk1 and wild-type strains.","study_summary":"CcPmk1's role in C. chrysosperma pathogenicity.","study_title_original":"Phosphoproteomic and Metabolomic Profiling Uncovers the Roles of CcPmk1 in the Pathogenicity of <i>Cytospora chrysosperma</i>"},{"@type":"Dataset","integmet_study":"MTBLS4469","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D005947","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D011134"],"mesh_chemical_pubtator_kw":["lipid","glucose","fatty acid","lipids","polysaccharides"],"mesh_disease_id":["https://identifiers.org/mesh:D019292","https://identifiers.org/mesh:D009765"],"mesh_disease_pubtator_kw":["metabolism-based disorders","obesity"],"source_id":"https://identifiers.org/metabolights:MTBLS4469","study_findings":"AAP reduces obesity by enhancing Papillibacter cinnamivorans, affecting lipid transportation.","study_observation":"Effects of Auricularia auricula polysaccharides on obesity and gut microbiota.","study_summary":"AAP reduces obesity via gut microbiota.","study_title_original":"Auricularia auricula polysaccharides reduce obesity in mice through gut commensal Papillibacter cinnamivorans"},{"@type":"Dataset","integmet_study":"MTBLS45","mesh_disease_id":["https://identifiers.org/mesh:D006963"],"mesh_disease_pubtator_kw":["methionine over-accumulation 1","mto1"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3702"],"ncbi_taxonomy_pubtator_kw":["Arabidopsis"],"source_id":"https://identifiers.org/metabolights:MTBLS45","study_findings":"Graph-clustering identifies tissue/genotype-dependent metabolomic clusters enriched in biochemical pathways.","study_observation":"Metabolomic correlation networks in Arabidopsis root and aerial tissues.","study_summary":"Graph-clustering reveals metabolomic networks in Arabidopsis.","study_title_original":"Metabolomic correlation-network modules in Arabidopsis based on a graph-clustering approach"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0032502","https://identifiers.org/GO:0007165","https://identifiers.org/GO:0005634","https://identifiers.org/GO:0023052","https://identifiers.org/GO:0010467","https://identifiers.org/GO:0010468"],"go_kw":["development","signaling pathways","nucleus","signaling","gene expression","gene regulation"],"integmet_study":"MTBLS450","mesh_gene_id":["https://identifiers.org/ncbigene:816769"],"mesh_gene_pubtator_kw":["med18"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:4932","https://identifiers.org/taxonomy:3702"],"ncbi_taxonomy_pubtator_kw":["yeast","Arabidopsis"],"source_id":"https://identifiers.org/metabolights:MTBLS450","study_findings":"Distinct metabolite profiles; novel subunit roles; med18 phytoalexin levels post-pathogen exposure.","study_observation":"Mediator subunit localization and activities in Arabidopsis mutants.","study_summary":"Mediator function in Arabidopsis via metabolomics.","study_title_original":"Functional metabolomics as a tool to analyze Mediator function and structure in plants"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0035872","https://identifiers.org/GO:0023052"],"go_kw":["NOD-like receptor signaling pathway","signaling"],"integmet_study":"MTBLS4507","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D006571"],"mesh_chemical_pubtator_kw":["lipids","heterocyclic compounds"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9940"],"ncbi_taxonomy_pubtator_kw":["Ovis aries","sheep"],"source_id":"https://identifiers.org/metabolights:MTBLS4507","study_findings":"RFW enhances immune gene activation and growth performance in sheep.","study_observation":"Effects of fermented and non-fermented Lycium barbarum on sheep.","study_summary":"Fermented Lycium barbarum improves sheep immunity and growth.","study_title_original":"Integrated metabolomics and transcriptome revealed the effect of fermented Lycium barbarum residue promoting Ovis aries immunity"},{"@type":"Dataset","integmet_study":"MTBLS4542","mesh_chemical_id":["https://identifiers.org/mesh:C418382","https://identifiers.org/mesh:D006017","https://identifiers.org/mesh:C085734"],"mesh_chemical_pubtator_kw":["RL","glycolipids","RLs","Rhamnolipid","mono-RL","Rhamnolipids"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:1047171"],"ncbi_taxonomy_pubtator_kw":["Zymoseptoria tritici","Z. tritici"],"source_id":"https://identifiers.org/metabolights:MTBLS4542","study_findings":"Rh-Est-C12 protects wheat mainly through direct antifungal activity.","study_observation":"Rhamnolipid's effect on wheat defense against Zymoseptoria tritici.","study_summary":"Rhamnolipid protects wheat against Zymoseptoria tritici.","study_title_original":"Bioinspired Rhamnolipid Protects Wheat Against Zymoseptoria tritici Through Mainly Direct Antifungal Activity and Without Major Impact on Leaf Physiology"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008152","https://identifiers.org/GO:0016310","https://identifiers.org/GO:0008283","https://identifiers.org/GO:0016477","https://identifiers.org/GO:0090399"],"go_kw":["metabolism","phosphorylation","cell proliferation","cell migration","replicative senescence"],"integmet_study":"MTBLS4568","source_id":"https://identifiers.org/metabolights:MTBLS4568","study_findings":"AMPK activation affects senescence and metabolism in PDLSCs.","study_observation":"Replicative senescence, metabolism, AMPK pathway in PDLSCs.","study_summary":"AMPK affects senescence in periodontal ligament stem cells.","study_title_original":"AMPK activation orchestrated replicative senescence of periodontal ligament stem cells via regulating metabolomics"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009056","https://identifiers.org/GO:0005739","https://identifiers.org/GO:0000423","https://identifiers.org/GO:0000266"],"go_kw":["degradation","mitochondria","mitophagy","mitochondrial fission"],"integmet_study":"MTBLS4579","mesh_chemical_id":["https://identifiers.org/mesh:D005650"],"mesh_chemical_pubtator_kw":["fumarate"],"mesh_disease_id":["https://identifiers.org/mesh:D006333","https://identifiers.org/mesh:C565375","https://identifiers.org/mesh:D002311","https://identifiers.org/mesh:D009203","https://identifiers.org/mesh:D006331"],"mesh_disease_pubtator_kw":["heart failure","mitochondrial complex II","complex II deficiency","dilated cardiomyopathy","myocardial infarction","heart diseases"],"mesh_gene_id":["https://identifiers.org/ncbigene:135154","https://identifiers.org/ncbigene:74006","https://identifiers.org/ncbigene:68002"],"mesh_gene_pubtator_kw":["succinate dehydrogenase assembly factor 4","dynamin-related protein 1","Sdhaf4","SDHAF4"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090","https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["mice","patients","human"],"source_id":"https://identifiers.org/metabolights:MTBLS4579","study_findings":"SDHAF4 loss leads to cardiomyopathy; fumarate improves cardiac function.","study_observation":"Cardiac loss of Sdhaf4 and its effects on complex II.","study_summary":"SDHAF4 disruption causes cardiomyopathy.","study_title_original":"Cardiac disruption of SDHAF4-mediated mitochondrial complex II assembly promotes dilated cardiomyopathy."},{"@type":"Dataset","integmet_study":"MTBLS460","mesh_chemical_id":["https://identifiers.org/mesh:D000470","https://identifiers.org/mesh:D013107","https://identifiers.org/mesh:D003374"],"mesh_chemical_pubtator_kw":["alkaloids","sphingolipids","coumarins"],"mesh_disease_id":["https://identifiers.org/mesh:D007239"],"mesh_disease_pubtator_kw":["Xcc) infection","infection","Xcc infection"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3712"],"ncbi_taxonomy_pubtator_kw":["Brassica oleracea","B. oleracea"],"source_id":"https://identifiers.org/metabolights:MTBLS460","study_findings":"Xcc infection causes dynamic metabolome changes; alkaloids, coumarins, sphingolipids are key in response.","study_observation":"Metabolic profile changes in Brassica oleracea during Xcc infection.","study_summary":"Metabolic response of Brassica to Xcc infection.","study_title_original":"Unraveling the metabolic response of Brassica oleracea exposed to Xanthomonas campestris pv. campestris"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005739","https://identifiers.org/GO:0005737","https://identifiers.org/GO:0008654","https://identifiers.org/GO:0006915"],"go_kw":["mitochondrion","cytoplasm","phospholipid synthesis","apoptosis"],"integmet_study":"MTBLS4709","mesh_chemical_id":["https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["Fatty acid","lipids"],"mesh_disease_id":["https://identifiers.org/mesh:D009369"],"mesh_disease_pubtator_kw":["cancer"],"source_id":"https://identifiers.org/metabolights:MTBLS4709","study_findings":"Elevated FAO activates STAT3, increasing mitochondrial phospholipids, protecting against apoptosis.","study_observation":"Role of fatty acid \u03b2-Oxidation in chemoresistance.","study_summary":"FAO protects cancer cells from apoptosis.","study_title_original":"Fatty acid oxidation protects cancer cells from apoptosis through increasing mitochondrial membrane lipids"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005829"],"go_kw":["cytosol"],"integmet_study":"MTBLS4722","mesh_chemical_id":["https://identifiers.org/mesh:C000627630","https://identifiers.org/mesh:D007656","https://identifiers.org/mesh:D005609","https://identifiers.org/mesh:D009249","https://identifiers.org/mesh:D008274","https://identifiers.org/mesh:C034219"],"mesh_chemical_pubtator_kw":["AG-120","alphaKG","alpha-ketoglutarate","free radicals","NADPH","magnesium","ivosidenib","isocitrate"],"mesh_disease_id":["https://identifiers.org/mesh:D010190","https://identifiers.org/mesh:D009369"],"mesh_disease_pubtator_kw":["pancreatic tumors","pancreatic cancer","tumor","cancer"],"mesh_gene_id":["https://identifiers.org/ncbigene:3417"],"mesh_gene_pubtator_kw":["IDH1"],"source_id":"https://identifiers.org/metabolights:MTBLS4722","study_findings":"Allosteric IDH1 inhibitors are effective under low magnesium, inhibiting tumor growth.","study_observation":"Nutrient-deprived tumor microenvironment in pancreatic cancer cells.","study_summary":"Pancreatic tumors sensitive to IDH1 inhibitors.","study_title_original":"Limited nutrient availability in the tumor microenvironment renders pancreatic tumors sensitive to allosteric IDH1 inhibitors"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0000271","https://identifiers.org/GO:0009273","https://identifiers.org/GO:0009809"],"go_kw":["polysaccharide biosynthesis","cell wall formation","lignin biosynthesis"],"integmet_study":"MTBLS478","mesh_chemical_id":["https://identifiers.org/mesh:D011134","https://identifiers.org/mesh:D002241","https://identifiers.org/mesh:D008031"],"mesh_chemical_pubtator_kw":["polysaccharides","carbohydrate","lignin"],"mesh_gene_id":["https://identifiers.org/ncbigene:10067"],"mesh_gene_pubtator_kw":["SCAMP3"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:47664"],"ncbi_taxonomy_pubtator_kw":["Populus tremula x tremuloides","Populus"],"source_id":"https://identifiers.org/metabolights:MTBLS478","study_findings":"SCAMPs influence secondary cell wall components in Populus.","study_observation":"Functions of SCAMPs in wood formation of Populus trees","study_summary":"SCAMPs role in Populus wood formation studied.","study_title_original":"A multi-omics approach reveals functions of Secretory Carrier-Associated Membrane Proteins in wood formation of Populus trees"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009058","https://identifiers.org/GO:0009813"],"go_kw":["biosynthesis","flavonoid biosynthesis (ko00941)"],"integmet_study":"MTBLS4820","mesh_chemical_id":["https://identifiers.org/mesh:D016644","https://identifiers.org/mesh:D002338","https://identifiers.org/mesh:D011166","https://identifiers.org/mesh:C066957","https://identifiers.org/mesh:D000872","https://identifiers.org/mesh:D005419","https://identifiers.org/mesh:C065861","https://identifiers.org/mesh:D002734"],"mesh_chemical_pubtator_kw":["canthaxanthin","carotenoid","porphyrin","pelargonidin","anthocyanins","flavonoid","anthocyanin","carotenoids","malvidin","chlorophyll"],"mesh_gene_id":["https://identifiers.org/ncbigene:1319","https://identifiers.org/ncbigene:5447"],"mesh_gene_pubtator_kw":["CRD1","POR"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:40685"],"ncbi_taxonomy_pubtator_kw":["willows"],"source_id":"https://identifiers.org/metabolights:MTBLS4820","study_findings":"Pelargonidin and canthaxanthin regulate red and purple color pigment.","study_observation":"Color regulation mechanism in purple, green, and red willow barks.","study_summary":"Color development in willow bark studied.","study_title_original":"Integrated Metabolomics and Transcriptomics Analyses Reveal Anthocyanin and Carotenoid Biosynthesis Involved in Color Development in Willow Bark"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0032502","https://identifiers.org/GO:0008152","https://identifiers.org/GO:0007586","https://identifiers.org/GO:0009058","https://identifiers.org/GO:0021915"],"go_kw":["development","metabolism","digestion","biosynthesis","neural tube development"],"integmet_study":"MTBLS4893","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D005231","https://identifiers.org/mesh:D005492","https://identifiers.org/mesh:D020404"],"mesh_chemical_pubtator_kw":["lipid","unsaturated fatty acids","folic acid","glycerophospholipid","folate"],"mesh_disease_id":["https://identifiers.org/mesh:D009436"],"mesh_disease_pubtator_kw":["neural tube defects","NTDs"],"source_id":"https://identifiers.org/metabolights:MTBLS4893","study_findings":"Gut microbiota correlates with brain metabolic profiles in NTDs fetal mice.","study_observation":"Gut microbiota and fecal metabolic phenotype in pregnant mice.","study_summary":"Gut microbiota affects fetal neural tube development.","study_title_original":"Intergenerational Association of Gut Microbiota and Metabolism between Perinatal Folic Acid Metabolism and Neural Tube Defects (Feces metabolomics)"},{"@type":"Dataset","integmet_study":"MTBLS4894","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D005231","https://identifiers.org/mesh:D005492","https://identifiers.org/mesh:D020404"],"mesh_chemical_pubtator_kw":["lipid","unsaturated fatty acids","folic acid","glycerophospholipid","folate"],"mesh_disease_id":["https://identifiers.org/mesh:D009436"],"mesh_disease_pubtator_kw":["neural tube defects","NTDs"],"source_id":"https://identifiers.org/metabolights:MTBLS4894","study_findings":"Sodium butyrate ameliorates HIBD by altering gut microbiota and histone crotonylation.","study_observation":"Neonatal HIBD rats' gut microbiota and brain SCFAs levels.","study_summary":"Sodium butyrate affects HIBD via gut microbiota.","study_title_original":"Intergenerational Association of Gut Microbiota and Metabolism between Perinatal Folic Acid Metabolism and Neural Tube Defects (Brain tissue metabolomics)"},{"@type":"Dataset","integmet_study":"MTBLS4932","mesh_chemical_id":["https://identifiers.org/mesh:D005232","https://identifiers.org/mesh:D020148","https://identifiers.org/mesh:D002087","https://identifiers.org/mesh:C010701"],"mesh_chemical_pubtator_kw":["short chain fatty acid","SB","SCFAs","butyrate","Sodium butyrate","crotonyl-CoA"],"mesh_disease_id":["https://identifiers.org/mesh:D000860","https://identifiers.org/mesh:D002534","https://identifiers.org/mesh:D005598","https://identifiers.org/mesh:D020925","https://identifiers.org/mesh:D001930","https://identifiers.org/mesh:D020196","https://identifiers.org/mesh:C536203"],"mesh_disease_pubtator_kw":["hypoxia","hypoxic-ischemic brain damage","pathological damage","Neonatal hypoxic-ischemic encephalopathy","ischemic brain injury","nervous system damage","HIE","hypoxic","neuro-developmental disorders","HIBD"],"mesh_gene_id":["https://identifiers.org/ncbigene:361276","https://identifiers.org/ncbigene:24225","https://identifiers.org/ncbigene:64304","https://identifiers.org/ncbigene:315989","https://identifiers.org/ncbigene:24829","https://identifiers.org/ncbigene:25453"],"mesh_gene_pubtator_kw":["Cdnf","Bdnf","ACADS","Manf","histone","Gdnf"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10116"],"ncbi_taxonomy_pubtator_kw":["rats"],"source_id":"https://identifiers.org/metabolights:MTBLS4932","study_findings":"Sodium butyrate ameliorates HIBD by altering gut microbiota and histone crotonylation.","study_observation":"Neonatal hypoxic-ischemic brain damage and gut microbiota changes.","study_summary":"Sodium butyrate affects neonatal HIBD via gut-brain axis.","study_title_original":"Sodium Butyrate mediates Histone Crotonylation and Alleviated Neonatal Rats Hypoxic-Ischemic Brain Injury Through Gut-Brain Axis (untargeted fecal metabolomics)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005739","https://identifiers.org/GO:0007399"],"go_kw":["mitochondrion","nervous system development"],"integmet_study":"MTBLS4933","mesh_chemical_id":["https://identifiers.org/mesh:D005232","https://identifiers.org/mesh:D020148","https://identifiers.org/mesh:D002087","https://identifiers.org/mesh:C010701"],"mesh_chemical_pubtator_kw":["short chain fatty acid","SB","SCFAs","butyrate","Sodium butyrate","crotonyl-CoA"],"mesh_disease_id":["https://identifiers.org/mesh:D000860","https://identifiers.org/mesh:D002534","https://identifiers.org/mesh:D005598","https://identifiers.org/mesh:D020925","https://identifiers.org/mesh:D001930","https://identifiers.org/mesh:D020196","https://identifiers.org/mesh:C536203"],"mesh_disease_pubtator_kw":["hypoxia","hypoxic-ischemic brain damage","pathological damage","Neonatal hypoxic-ischemic encephalopathy","ischemic brain injury","nervous system damage","HIE","hypoxic","neuro-developmental disorders","HIBD"],"mesh_gene_id":["https://identifiers.org/ncbigene:361276","https://identifiers.org/ncbigene:24225","https://identifiers.org/ncbigene:64304","https://identifiers.org/ncbigene:315989","https://identifiers.org/ncbigene:24829","https://identifiers.org/ncbigene:25453"],"mesh_gene_pubtator_kw":["Cdnf","Bdnf","ACADS","Manf","histone","Gdnf"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10116"],"ncbi_taxonomy_pubtator_kw":["rats"],"source_id":"https://identifiers.org/metabolights:MTBLS4933","study_findings":"Sodium butyrate ameliorates HIBD via gut microbiota and histone crotonylation.","study_observation":"Neonatal HIBD rats' butanoate metabolism and SCFAs-producing bacteria levels.","study_summary":"Sodium butyrate affects histone crotonylation in HIBD rats.","study_title_original":"Sodium Butyrate mediates Histone Crotonylation and Alleviated Neonatal Rats Hypoxic-Ischemic Brain Injury Through Gut-Brain Axis (targeted SCFA brain metabolomics)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006629"],"go_kw":["lipid metabolism"],"integmet_study":"MTBLS495","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D013107","https://identifiers.org/mesh:D005231","https://identifiers.org/mesh:D020404"],"mesh_chemical_pubtator_kw":["lipid","sphingolipids","lipids","polyunsaturated fatty acids","Sphingolipids","glycerophospholipids"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090","https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["mouse","human"],"source_id":"https://identifiers.org/metabolights:MTBLS495","study_findings":"Link between aging and disordered lipid homeostasis; sphingolipids with longer acyl chains accumulate.","study_observation":"Lipidome-wide changes in aging mouse brains","study_summary":"Lipidome changes in aging mouse brain studied.","study_title_original":"Absolute quantitative lipidomics reveals lipidome-wide alterations in aging brain (Mouse brain NEG UPLC-MS assay)"},{"@type":"Dataset","integmet_study":"MTBLS4967","mesh_chemical_id":["https://identifiers.org/mesh:D002586","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D002241"],"mesh_chemical_pubtator_kw":["CS","fatty acids","fatty acid","carbohydrate"],"mesh_disease_id":["https://identifiers.org/mesh:D002921","https://identifiers.org/mesh:D006223"],"mesh_disease_pubtator_kw":["CSD","scar diverticulum","Scar Diverticulum","CS"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:13687","https://identifiers.org/taxonomy:48736","https://identifiers.org/taxonomy:1578"],"ncbi_taxonomy_pubtator_kw":["women","Sphingomonas","Ralstonia","Lactobacillus"],"source_id":"https://identifiers.org/metabolights:MTBLS4967","study_findings":"Higher microbial diversity, decreased Lactobacillus, altered metabolism, and gene regulation in CSD.","study_observation":"Cervical microbiota, metabolome, and endometrial transcriptome in CSD.","study_summary":"Cervical microbiota and gene regulation in CSD.","study_title_original":"Interaction between Cervical Microbiota and Host Gene Regulation in Caesarean Section Scar Diverticulum"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006568","https://identifiers.org/GO:0008152"],"go_kw":["tryptophan metabolism","metabolism"],"integmet_study":"MTBLS4980","mesh_chemical_id":["https://identifiers.org/mesh:D014364"],"mesh_chemical_pubtator_kw":["tryptophan"],"mesh_disease_id":["https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D004194","https://identifiers.org/mesh:D002779","https://identifiers.org/mesh:D003092"],"mesh_disease_pubtator_kw":["inflammatory","diseases of the","cholestasis","colitis"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10116","https://identifiers.org/taxonomy:354523","https://identifiers.org/taxonomy:261450"],"ncbi_taxonomy_pubtator_kw":["rat","Tetradium ruticarpum","Coptis chinensis Franch"],"source_id":"https://identifiers.org/metabolights:MTBLS4980","study_findings":"Tryptophan metabolism and microbiota changes are core targets of ZYP.","study_observation":"Colitis rat model, fecal metabolism, and microbiota changes.","study_summary":"Zhuyu Pill effects on colitis and cholestasis.","study_title_original":"Mechanism of interventional effect and targets of Zhuyu Pill in regulating and suppressing colitis and cholestasis"},{"@type":"Dataset","integmet_study":"MTBLS4987","mesh_chemical_id":["https://identifiers.org/mesh:D002686","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D013256","https://identifiers.org/mesh:D005998"],"mesh_chemical_pubtator_kw":["chitin","lipid","steroid hormone","glycine","lipids"],"mesh_disease_id":["https://identifiers.org/mesh:D000860"],"mesh_disease_pubtator_kw":["hypoxia"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:1421715"],"ncbi_taxonomy_pubtator_kw":["Aquatica leii","A. leii"],"source_id":"https://identifiers.org/metabolights:MTBLS4987","study_findings":"Identified AARMs and AARPs related to freshwater adaptation in fireflies.","study_observation":"Global metabolomic profiles of Aquatica leii and Lychnuris praetexta.","study_summary":"Metabolomics study on fireflies' freshwater adaptation.","study_title_original":"Global metabolomics of fireflies (Coleoptera: Lampyridae) explore metabolic adaptation to fresh water in insects"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009853","https://identifiers.org/GO:0006544","https://identifiers.org/GO:0009441"],"go_kw":["photorespiratory pathway","glycine metabolism","glycolate metabolism"],"integmet_study":"MTBLS5","mesh_chemical_id":["https://identifiers.org/mesh:C031149","https://identifiers.org/mesh:D005973","https://identifiers.org/mesh:C030298","https://identifiers.org/mesh:D002245","https://identifiers.org/mesh:D010728","https://identifiers.org/mesh:D009584","https://identifiers.org/mesh:D005998","https://identifiers.org/mesh:D007656","https://identifiers.org/mesh:D013395","https://identifiers.org/mesh:D005650","https://identifiers.org/mesh:C005156","https://identifiers.org/mesh:D002244","https://identifiers.org/mesh:C029063"],"mesh_chemical_pubtator_kw":["glycolate","glutamine","malate","CO(2)","phosphoenolpyruvate","nitrogen","glycine","2OG","sucrose","fumarate","3-phosphoglycerate","carbon","2-oxoglutarate","fructose-1,6-bisphosphate"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:1143"],"ncbi_taxonomy_pubtator_kw":["Synechocystis","Synechocystis sp."],"source_id":"https://identifiers.org/metabolights:MTBLS5","study_findings":"Acclimation to low CO2 involves carbon and nitrogen metabolism changes.","study_observation":"Metabolome changes in Synechocystis sp. PCC 6803 under low CO2.","study_summary":"Metabolome study on Synechocystis under low CO2 conditions.","study_title_original":"Inorganic Carbon Limitation in Cells of the Wild Type and Photorespiratory Mutants of the Cyanobacterium Synechocystis sp. Strain PCC 6803"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009062","https://identifiers.org/GO:0006544","https://identifiers.org/GO:0006750"],"go_kw":["fatty acid degradation","glycine metabolism","glutathione formation"],"integmet_study":"MTBLS5005","mesh_chemical_id":["https://identifiers.org/mesh:C000591538","https://identifiers.org/mesh:D005998","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D005978","https://identifiers.org/mesh:D001647"],"mesh_chemical_pubtator_kw":["Gly-Gly-Leu","glycine","fatty acid","glutathione","bile acid"],"mesh_disease_id":["https://identifiers.org/mesh:D065626","https://identifiers.org/mesh:D005234","https://identifiers.org/mesh:D005355"],"mesh_disease_pubtator_kw":["nonalcoholic steatohepatitis","hepatic steatosis","steatohepatitis","NASH","fibrosis","Nonalcoholic steatohepatitis"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["human","mice"],"source_id":"https://identifiers.org/metabolights:MTBLS5005","study_findings":"DT-109 reverses hepatic steatosis and prevents fibrosis progression by modulating metabolism.","study_observation":"Effects of DT-109 on steatohepatitis and fibrosis in nonhuman primates.","study_summary":"DT-109 ameliorates NASH in nonhuman primates.","study_title_original":"DT-109 ameliorates nonalcoholic steatohepatitis in nonhuman primates"},{"@type":"Dataset","integmet_study":"MTBLS5132","ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9913"],"ncbi_taxonomy_pubtator_kw":["cows"],"source_id":"https://identifiers.org/metabolights:MTBLS5132","study_findings":"Potential role of rumen microbes in heat stress.","study_observation":"Rumen microbes in dairy cattle under heat stress.","study_summary":"Rumen microbes' role in heat stress in cattle.","study_title_original":"Multiomic analysis revealed the potential role of rumen microbes in heat stress"},{"@type":"Dataset","integmet_study":"MTBLS5148","ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9913"],"ncbi_taxonomy_pubtator_kw":["cows"],"source_id":"https://identifiers.org/metabolights:MTBLS5148","study_findings":null,"study_observation":"Metabolite changes in Holstein cows at different growth stages.","study_summary":"Heat stress effects on Holstein cows' metabolomics.","study_title_original":"Effect of heat stress on serum enzyme activity, antioxidant capacity and immune parameter metabolomics datasets in Holstein cows at different growth stages"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0015979","https://identifiers.org/GO:0005975","https://identifiers.org/GO:0010118","https://identifiers.org/GO:0019253"],"go_kw":["photosynthesis","carbohydrate metabolism","stomatal movement","C3 photosynthesis"],"integmet_study":"MTBLS519","mesh_chemical_id":["https://identifiers.org/mesh:D002241","https://identifiers.org/mesh:D002245"],"mesh_chemical_pubtator_kw":["carbohydrate","CO2"],"mesh_disease_id":["https://identifiers.org/mesh:D008659"],"mesh_disease_pubtator_kw":["crassulacean acid metabolism","Crassulacean acid metabolism","CAM"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:63787"],"ncbi_taxonomy_pubtator_kw":["K. fedtschenkoi","Kalanchoe fedtschenkoi"],"source_id":"https://identifiers.org/metabolights:MTBLS519","study_findings":"Convergence in protein sequence and gene expression related to CAM.","study_observation":"Genome assembly and transcript expression in Kalanchoe fedtschenkoi.","study_summary":"Kalanchoe genome study on CAM evolution.","study_title_original":"The Kalanchoe genome provides insights into convergent evolution and building blocks of crassulacean acid metabolism"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008283","https://identifiers.org/GO:0019538","https://identifiers.org/GO:0006412","https://identifiers.org/GO:0006629","https://identifiers.org/GO:0008610"],"go_kw":["cell proliferation","protein metabolism","protein synthesis","lipid metabolism","lipid synthesis"],"integmet_study":"MTBLS5195","mesh_chemical_id":["https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["lipids","lipid"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:8930","https://identifiers.org/taxonomy:8932"],"ncbi_taxonomy_pubtator_kw":["Pigeons","Columba livia"],"source_id":"https://identifiers.org/metabolights:MTBLS5195","study_findings":"Identified 'lactation'-related genes and enhancer loci in crop epithelium.","study_observation":"Transcriptomic landscape of pigeon crop epithelium during breeding cycle.","study_summary":"Transcriptomic dynamics in pigeon crop lactation.","study_title_original":"Transcriptomic dynamics control rapid transition of core crop functions in 'lactating' pigeon"},{"@type":"Dataset","integmet_study":"MTBLS522","mesh_chemical_id":["https://identifiers.org/mesh:C031345","https://identifiers.org/mesh:C093443","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:C004446","https://identifiers.org/mesh:D014315","https://identifiers.org/mesh:C526146","https://identifiers.org/mesh:D012402"],"mesh_chemical_pubtator_kw":["Pipecolinic acid","madecassoside","lipid","asiaticoside","triterpenoids","Centella asiatica extract","pipecolinic acid","rotenone"],"mesh_disease_id":["https://identifiers.org/mesh:D064420"],"mesh_disease_pubtator_kw":["toxicity"],"mesh_gene_id":["https://identifiers.org/ncbigene:24248"],"mesh_gene_pubtator_kw":["catalase"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10116","https://identifiers.org/taxonomy:48106"],"ncbi_taxonomy_pubtator_kw":["rat","Centella asiatica","Rats","rats"],"source_id":"https://identifiers.org/metabolights:MTBLS522","study_findings":"ECa233 inhibited lipid peroxidation, increased catalase, and protected against rotenone toxicity.","study_observation":"Effects of ECa233 on liver metabolome and antioxidant status.","study_summary":"Centella asiatica effects on rotenone-treated rat liver.","study_title_original":"Effects of Centella asiatica extract on antioxidant status and liver metabolome of rotenone-treated rats using GC-MS"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0030203"],"go_kw":["glycosaminoglycan metabolism"],"integmet_study":"MTBLS5297","mesh_chemical_id":["https://identifiers.org/mesh:D006025","https://identifiers.org/mesh:C011119","https://identifiers.org/mesh:C013598"],"mesh_chemical_pubtator_kw":["glycosaminoglycan","cysteine-S-sulfate","methoxyacetic acid"],"mesh_disease_id":["https://identifiers.org/mesh:D001172","https://identifiers.org/mesh:D008659","https://identifiers.org/mesh:D014077","https://identifiers.org/mesh:D064806","https://identifiers.org/mesh:D001847"],"mesh_disease_pubtator_kw":["Rheumatoid arthritis","metabolic disorders","bone erosion","RA","microbial dysbiosis","rheumatoid arthritis","bone loss"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:310297","https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:820","https://identifiers.org/taxonomy:562"],"ncbi_taxonomy_pubtator_kw":["Bacteroides plebeius","patients","Bacteroides uniformis","Escherichia coli"],"source_id":"https://identifiers.org/metabolights:MTBLS5297","study_findings":"Microbial dysbiosis and metabolic disorders have stage-specific roles in RA.","study_observation":"Stage-based profiles of faecal metagenome and plasma metabolome in RA.","study_summary":"Stage-specific roles of dysbiosis in rheumatoid arthritis.","study_title_original":"Stage-specific roles of microbial dysbiosis and metabolic disorders in rheumatoid arthritis"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009813","https://identifiers.org/GO:0009717"],"go_kw":["flavonoid biosynthesis","isoflavonoid biosynthesis"],"integmet_study":"MTBLS531","mesh_chemical_id":["https://identifiers.org/mesh:C036216","https://identifiers.org/mesh:D000040","https://identifiers.org/mesh:D005419","https://identifiers.org/mesh:C040641","https://identifiers.org/mesh:D007529","https://identifiers.org/mesh:C004742","https://identifiers.org/mesh:D019833"],"mesh_chemical_pubtator_kw":["ET","ethylene","abscisic acid","flavonoid","flavonoids","genistin","Ethylene","Flavonoid","isoflavones","daidzein","ABA","genistein","Abscisic Acid"],"mesh_gene_id":["https://identifiers.org/ncbigene:100305373"],"mesh_gene_pubtator_kw":["MAPK"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3847"],"ncbi_taxonomy_pubtator_kw":["soybean","Glycine max"],"source_id":"https://identifiers.org/metabolights:MTBLS531","study_findings":"ET treatment increases flavonoid and isoflavonoid metabolism and MAPK signaling.","study_observation":"Effects of ethylene and abscisic acid on soybean leaves.","study_summary":"Multi-omics analysis of soybean leaves under hormone treatment.","study_title_original":"A Multi-Omics Analysis of Glycine max Leaves Reveals Alteration in Flavonoid and Isoflavonoid Metabolism Upon Ethylene and Abscisic Acid Treatment."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005737","https://identifiers.org/GO:0016310","https://identifiers.org/GO:0008283","https://identifiers.org/GO:0005783","https://identifiers.org/GO:0005739","https://identifiers.org/GO:0006119","https://identifiers.org/GO:0032259","https://identifiers.org/GO:0006096"],"go_kw":["cytoplasm","phosphorylation","cell proliferation","endoplasmic reticulum","mitochondria","oxidative phosphorylation","methylation","glycolysis"],"integmet_study":"MTBLS533","mesh_chemical_id":["https://identifiers.org/mesh:D002118"],"mesh_chemical_pubtator_kw":["calcium"],"mesh_disease_id":["https://identifiers.org/mesh:D063646","https://identifiers.org/mesh:D009362","https://identifiers.org/mesh:D009369","https://identifiers.org/mesh:D001943"],"mesh_disease_pubtator_kw":["tumorigenesis","metastasis","cancer","breast cancer"],"mesh_gene_id":["https://identifiers.org/ncbigene:10498"],"mesh_gene_pubtator_kw":["CARM1","co-activator-associated arginine methyltransferase 1"],"source_id":"https://identifiers.org/metabolights:MTBLS533","study_findings":"PKM2 methylation shifts metabolism to aerobic glycolysis, promoting tumorigenesis.","study_observation":"PKM2 methylation by CARM1 in breast cancer cells.","study_summary":"PKM2 methylation by CARM1 promotes tumorigenesis.","study_title_original":"PKM2 methylation by CARM1 activates aerobic glycolysis to promote tumorigenesis."},{"@type":"Dataset","integmet_study":"MTBLS5335","mesh_chemical_id":["https://identifiers.org/mesh:D008239","https://identifiers.org/mesh:D002956","https://identifiers.org/mesh:D012694","https://identifiers.org/mesh:D010429","https://identifiers.org/mesh:D013912","https://identifiers.org/mesh:D020723","https://identifiers.org/mesh:D005998","https://identifiers.org/mesh:D001120","https://identifiers.org/mesh:D001710","https://identifiers.org/mesh:D013107","https://identifiers.org/mesh:D005492","https://identifiers.org/mesh:D010649"],"mesh_chemical_pubtator_kw":["lysine","citrulline","serine","pentose","threonine","d-glucuronic acid","glycine","arginine","biotin","sphingolipid","folate","phenylalanine","glucuronate"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:816","https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:702","https://identifiers.org/taxonomy:1573535"],"ncbi_taxonomy_pubtator_kw":["Bacteroides","human","Plesiomonas","Holdemanella"],"source_id":"https://identifiers.org/metabolights:MTBLS5335","study_findings":"20 metabolites identified; correlations between microbiota and metabolites affecting metabolic pathways.","study_observation":"Gut microbiota and metabolomics of seafarers after six-month voyage.","study_summary":"Gut microbiota changes in seafarers after voyage.","study_title_original":"Alterations in the gut microbiota and metabolomics of seafarers after a six-month sea voyage"},{"@type":"Dataset","integmet_study":"MTBLS54","mesh_chemical_id":["https://identifiers.org/mesh:D012965","https://identifiers.org/mesh:C024617","https://identifiers.org/mesh:D012492","https://identifiers.org/mesh:D010758","https://identifiers.org/mesh:D013455","https://identifiers.org/mesh:D011188","https://identifiers.org/mesh:D008982","https://identifiers.org/mesh:D000073893"],"mesh_chemical_pubtator_kw":["NaCl","polyols","salt","phosphorus","sulphur","potassium","molybdenum","sugars"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:34305"],"ncbi_taxonomy_pubtator_kw":["Lotus japonicus"],"source_id":"https://identifiers.org/metabolights:MTBLS54","study_findings":"Core robust changes shared between experiments; many responses not reproducible.","study_observation":"Metabolic, ionomic, and transcriptomic responses to long-term salt stress.","study_summary":"Metabolic responses to salt stress in Lotus japonicus.","study_title_original":"Mining for metabolic responses to long-term salt stress: a case study on the model legume Lotus japonicus (C)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0065007","https://identifiers.org/GO:0008152","https://identifiers.org/GO:0005634"],"go_kw":["regulation","metabolism","nucleus"],"integmet_study":"MTBLS545","mesh_chemical_id":["https://identifiers.org/mesh:D001647","https://identifiers.org/mesh:D001464"],"mesh_chemical_pubtator_kw":["Bile acid","BAs","bile acid","BA"],"mesh_disease_id":["https://identifiers.org/mesh:D008659","https://identifiers.org/mesh:D009765"],"mesh_disease_pubtator_kw":["metabolic diseases","obese","metabolic disorders","obesity"],"mesh_gene_id":["https://identifiers.org/ncbigene:20186"],"mesh_gene_pubtator_kw":["FXR"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mice"],"source_id":"https://identifiers.org/metabolights:MTBLS545","study_findings":"Bile acids significantly alter gut microbiota; potential therapeutic target for metabolic diseases.","study_observation":"Bile acids and gut microbiome interactions in diet-induced obese mice.","study_summary":"Bile acids shape gut microbiome in obese mice.","study_title_original":"Bile acid is a significant host factor shaping the gut microbiome of diet induced obese mice (untargeted metabolome profile assay)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0065007","https://identifiers.org/GO:0042592","https://identifiers.org/GO:0009058","https://identifiers.org/GO:0008152"],"go_kw":["regulation","homeostasis","biosynthesis","metabolism"],"integmet_study":"MTBLS546","mesh_chemical_id":["https://identifiers.org/mesh:D001647","https://identifiers.org/mesh:D001464"],"mesh_chemical_pubtator_kw":["Bile acid","BAs","bile acid","BA"],"mesh_disease_id":["https://identifiers.org/mesh:D008659","https://identifiers.org/mesh:D009765"],"mesh_disease_pubtator_kw":["metabolic diseases","obese","metabolic disorders","obesity"],"mesh_gene_id":["https://identifiers.org/ncbigene:20186"],"mesh_gene_pubtator_kw":["FXR"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mice"],"source_id":"https://identifiers.org/metabolights:MTBLS546","study_findings":"Bile acids significantly alter gut microbiota and influence obesity.","study_observation":"Bile acids and gut microbiome in diet-induced obese mice.","study_summary":"Bile acids shape gut microbiome in obese mice.","study_title_original":"Bile acid is a significant host factor shaping the gut microbiome of diet induced obese mice (targeted short chain fatty acid analysis assay)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008152","https://identifiers.org/GO:0006113","https://identifiers.org/GO:0006006","https://identifiers.org/GO:0046323","https://identifiers.org/GO:0015979","https://identifiers.org/GO:0061678"],"go_kw":["metabolism","fermentation","glucose metabolism","glucose uptake","photosynthesis","Entner-Doudoroff pathway"],"integmet_study":"MTBLS5462","mesh_chemical_id":["https://identifiers.org/mesh:D005947"],"mesh_chemical_pubtator_kw":["glucose","Glucose"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:1220","https://identifiers.org/taxonomy:84588","https://identifiers.org/taxonomy:1131","https://identifiers.org/taxonomy:59919","https://identifiers.org/taxonomy:74547","https://identifiers.org/taxonomy:1071214","https://identifiers.org/taxonomy:313625"],"ncbi_taxonomy_pubtator_kw":["Prochlorococcus sp.","WH8102","Synechococcus","Prochlorococcus","Synechococcus sp.","MED4","MIT9313","SS120","Prochlorococcus MED4","BL107"],"source_id":"https://identifiers.org/metabolights:MTBLS5462","study_findings":"Glucose metabolized via oxidative pentoses and Calvin pathways; affects circadian rhythms and microbiome.","study_observation":"Proteomic and metabolomic changes in Synechococcus and Prochlorococcus with glucose addition.","study_summary":"Glucose effects on marine cyanobacteria metabolism.","study_title_original":"Integrated Proteomic and Metabolomic Analyses Show Differential Effects of Glucose Availability in Marine <i>Synechococcus</i> and <i>Prochlorococcus</i>."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008152","https://identifiers.org/GO:0065007","https://identifiers.org/GO:0009058","https://identifiers.org/GO:0005634","https://identifiers.org/GO:0042592"],"go_kw":["metabolism","regulation","biosynthesis","nucleus","homeostasis"],"integmet_study":"MTBLS548","mesh_chemical_id":["https://identifiers.org/mesh:D001647","https://identifiers.org/mesh:D001464"],"mesh_chemical_pubtator_kw":["Bile acid","BAs","bile acid","BA"],"mesh_disease_id":["https://identifiers.org/mesh:D008659","https://identifiers.org/mesh:D009765"],"mesh_disease_pubtator_kw":["metabolic diseases","obese","metabolic disorders","obesity"],"mesh_gene_id":["https://identifiers.org/ncbigene:20186"],"mesh_gene_pubtator_kw":["FXR"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mice"],"source_id":"https://identifiers.org/metabolights:MTBLS548","study_findings":"Bile acids significantly alter gut microbiota and influence obesity.","study_observation":"Bile acids and gut microbiome in diet-induced obese mice.","study_summary":"Bile acids shape gut microbiome in obese mice.","study_title_original":"Bile acid is a significant host factor shaping the gut microbiome of diet induced obese mice (targeted free fatty acid analysis assay)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006099","https://identifiers.org/GO:0006098"],"go_kw":["TCA cycle","pentose phosphate pathway"],"integmet_study":"MTBLS549","mesh_chemical_id":["https://identifiers.org/mesh:D002087","https://identifiers.org/mesh:C030985","https://identifiers.org/mesh:D009249","https://identifiers.org/mesh:C030986","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D002331","https://identifiers.org/mesh:D010428","https://identifiers.org/mesh:D014238","https://identifiers.org/mesh:D000597"],"mesh_chemical_pubtator_kw":["butyrates","purine","NADPH","pyrimidine","lipids","carnitines","pentose phosphate","TCA","branched-chain amino acids"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["human"],"source_id":"https://identifiers.org/metabolights:MTBLS549","study_findings":"44 metabolites increased; 30 newly identified; enhanced catabolism and anabolism.","study_observation":"Metabolic reactions during 34-58 hr fasting in human blood.","study_summary":"Metabolomic analysis reveals fasting-induced metabolic changes.","study_title_original":"Diverse metabolic reactions activated during 58-hr fasting are revealed by non-targeted metabolomic analysis of human blood."},{"@type":"Dataset","integmet_study":"MTBLS562","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D013107","https://identifiers.org/mesh:D005231","https://identifiers.org/mesh:D020404"],"mesh_chemical_pubtator_kw":["lipid","sphingolipids","lipids","polyunsaturated fatty acids","Sphingolipids","glycerophospholipids"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090","https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["mouse","human"],"source_id":"https://identifiers.org/metabolights:MTBLS562","study_findings":"Link between aging and disordered lipid homeostasis; sphingolipids with longer acyl chains accumulate.","study_observation":"Lipidome-wide changes in aging mouse brains","study_summary":"Lipidome changes in aging mouse brain studied.","study_title_original":"Absolute quantitative lipidomics reveals lipidome-wide alterations in aging brain (Mouse brain POS UPLC-MS assay)"},{"@type":"Dataset","integmet_study":"MTBLS5662","source_id":"https://identifiers.org/metabolights:MTBLS5662","study_findings":"Differential metabolites and genes related to anthocyanin biosynthesis.","study_observation":"Metabolome and transcriptome of different colored leaves.","study_summary":"Mechanism of leaf color in Loropetalum chinense.","study_title_original":"Comprehensive analysis of metabolome and transcriptome reveals the mechanism of color formation in different leave of Loropetalum chinense var. rubrum"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0061024","https://identifiers.org/GO:0008283","https://identifiers.org/GO:0044838","https://identifiers.org/GO:0006629","https://identifiers.org/GO:0051301"],"go_kw":["membrane organization","cell proliferation","quiescence","lipid metabolism","cell division"],"integmet_study":"MTBLS578","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D014280","https://identifiers.org/mesh:D009584","https://identifiers.org/mesh:D005947","https://identifiers.org/mesh:D003065","https://identifiers.org/mesh:D002518"],"mesh_chemical_pubtator_kw":["lipid","triacylglycerols","nitrogen","glucose","lipids","TGs","coenzyme A","ceramide","TG"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:4932"],"ncbi_taxonomy_pubtator_kw":["yeast"],"source_id":"https://identifiers.org/metabolights:MTBLS578","study_findings":"Cwh43 mutants show altered glucose utilization, lipid metabolism, and quiescence viability.","study_observation":"Fission yeast Cwh43 mutants under glucose and nitrogen conditions.","study_summary":"Cwh43 affects quiescence and lipid metabolism in yeast.","study_title_original":"The putative ceramide-conjugation protein Cwh43 regulates G0 quiescence, nutrient metabolism and lipid homeostasis in fission yeast (Lipidome assay)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0019432","https://identifiers.org/GO:0019395","https://identifiers.org/GO:0006629","https://identifiers.org/GO:0008610"],"go_kw":["triglyceride synthesis","fatty acid oxidation","lipid metabolism","lipid synthesis"],"integmet_study":"MTBLS5808","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D004075","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D014280","https://identifiers.org/mesh:D000214"],"mesh_chemical_pubtator_kw":["lipid","diglyceride","fatty acids","lipids","triglyceride","triglycerides","acyl-CoA"],"mesh_disease_id":["https://identifiers.org/mesh:C536560"],"mesh_disease_pubtator_kw":["CDS"],"mesh_gene_id":["https://identifiers.org/ncbigene:101110905"],"mesh_gene_pubtator_kw":["ACSL1"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9940"],"ncbi_taxonomy_pubtator_kw":["sheep"],"source_id":"https://identifiers.org/metabolights:MTBLS5808","study_findings":"ACSL1-a promotes diglyceride synthesis; ACSL1-b promotes triglyceride synthesis.","study_observation":"Transcript variants of ACSL1 in sheep lipid metabolism.","study_summary":"ACSL1 transcripts affect sheep lipid metabolism.","study_title_original":"Transcript variants of long-chain acyl-CoA synthase 1 have distinct roles in sheep lipid metabolism"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009614"],"go_kw":["disease resistance"],"integmet_study":"MTBLS5810","mesh_disease_id":["https://identifiers.org/mesh:D000092422"],"mesh_disease_pubtator_kw":["fire blight","fire-blight"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3750"],"ncbi_taxonomy_pubtator_kw":["apple"],"source_id":"https://identifiers.org/metabolights:MTBLS5810","study_findings":"Cisgenesis did not affect traits; confirmed fire blight resistance","study_observation":"Tree-, flower-, and fruit-related traits; disease resistance","study_summary":"Field trial of cisgenic apple line C44.4.146","study_title_original":"Field study of the fire blight resistant cisgenic apple line C44.4.146"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006094","https://identifiers.org/GO:0008610"],"go_kw":["gluconeogenesis","lipid synthesis"],"integmet_study":"MTBLS582","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D010168"],"mesh_chemical_pubtator_kw":["lipid","palmitate"],"mesh_disease_id":["https://identifiers.org/mesh:D007333","https://identifiers.org/mesh:D006528","https://identifiers.org/mesh:D005234","https://identifiers.org/mesh:D009765"],"mesh_disease_pubtator_kw":["insulin resistance","Insulin Resistance","hepatoma","hepatic steatosis","Obesity"],"mesh_gene_id":["https://identifiers.org/ncbigene:3630","https://identifiers.org/ncbigene:2308"],"mesh_gene_pubtator_kw":["insulin","FoxO1"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["human"],"source_id":"https://identifiers.org/metabolights:MTBLS582","study_findings":"Palmitate impairs insulin signaling to FoxO1, affecting gluconeogenesis.","study_observation":"Phosphoproteome of insulin treated human hepatoma cells.","study_summary":"Selective insulin resistance in hepatocytes by palmitate.","study_title_original":"Global Analyses of Selective Insulin Resistance in Hepatocytes due to Palmitate Lipotoxicity"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006954","https://identifiers.org/GO:0006955","https://identifiers.org/GO:0019369","https://identifiers.org/GO:0008206"],"go_kw":["inflammation","immune response","arachidonic acid metabolism","bile acid metabolism"],"integmet_study":"MTBLS5828","mesh_chemical_id":["https://identifiers.org/mesh:D016718","https://identifiers.org/mesh:D001647"],"mesh_chemical_pubtator_kw":["arachidonic acid","Bile acids","bile acids"],"mesh_disease_id":["https://identifiers.org/mesh:D001424","https://identifiers.org/mesh:D020277","https://identifiers.org/mesh:D008659","https://identifiers.org/mesh:D015163","https://identifiers.org/mesh:C567355"],"mesh_disease_pubtator_kw":["bacterial infection","Chronic inflammatory demyelinating polyradiculoneuropathy","Metabolic disorder","microbial infection","CIDP","chronic inflammatory demyelinating polyradiculoneuropathy","immune-mediated neuropathy"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:33038","https://identifiers.org/taxonomy:573","https://identifiers.org/taxonomy:28116","https://identifiers.org/taxonomy:47678","https://identifiers.org/taxonomy:437897"],"ncbi_taxonomy_pubtator_kw":["Ruminococcus gnavus","Klebsiella pneumonia","Bacteroides ovatus","Bacteroides caccae","Megamonas funiformis"],"source_id":"https://identifiers.org/metabolights:MTBLS5828","study_findings":"Bile acids and arachidonic acid metabolism disturbed; gut dysbiosis linked to CIDP.","study_observation":"Serum metabolic profile and gut microbiome structure in CIDP.","study_summary":"CIDP linked to metabolic and microbiome changes.","study_title_original":"Metabolic disorder and intestinal microflora dysbiosis in chronic inflammatory demyelinating polyradiculoneuropathy"},{"@type":"Dataset","integmet_study":"MTBLS583","mesh_chemical_id":["https://identifiers.org/mesh:D012492"],"mesh_chemical_pubtator_kw":["Salt","salt"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3818"],"ncbi_taxonomy_pubtator_kw":["Arachis hypogaea L.","peanut","Peanut"],"source_id":"https://identifiers.org/metabolights:MTBLS583","study_findings":"REC higher in recovery; 92 metabolites, 1,742 shoot transcripts vary with salt stress.","study_observation":"Leaf relative electrolyte leakage, photosynthesis, transpiration, metabolism, metabolites, transcripts.","study_summary":"Peanut response to salt stress and recovery.","study_title_original":"Identification of Metabolites and Transcripts Involved in Salt Stress and Recovery in Peanut"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006954","https://identifiers.org/GO:0008152","https://identifiers.org/GO:0016310","https://identifiers.org/GO:0005737","https://identifiers.org/GO:0005783","https://identifiers.org/GO:0006099","https://identifiers.org/GO:0023052"],"go_kw":["inflammation","metabolism","phosphorylation","cytoplasm","endoplasmic reticulum","Krebs cycle","signaling"],"integmet_study":"MTBLS5877","mesh_chemical_id":["https://identifiers.org/mesh:C005229","https://identifiers.org/mesh:C000708109"],"mesh_chemical_pubtator_kw":["itaconate","4-OI","4-octyl itaconate"],"mesh_disease_id":["https://identifiers.org/mesh:D018805","https://identifiers.org/mesh:D007249"],"mesh_disease_pubtator_kw":["sepsis","inflammatory","inflammation"],"mesh_gene_id":["https://identifiers.org/ncbigene:730249","https://identifiers.org/ncbigene:340061"],"mesh_gene_pubtator_kw":["immune response gene 1","stimulator of interferon genes","STING","IRG1"],"source_id":"https://identifiers.org/metabolights:MTBLS5877","study_findings":"4-OI alkylates STING, inhibiting phosphorylation and inflammatory factor production.","study_observation":"4-Octyl itaconate's effect on STING signaling and inflammation.","study_summary":"4-OI inhibits inflammation via STING alkylation.","study_title_original":"4-Octyl itaconate as a metabolite derivative inhibits inflammation via alkylation of STING"},{"@type":"Dataset","integmet_study":"MTBLS5943","mesh_chemical_id":["https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["lipids","lipid"],"mesh_disease_id":["https://identifiers.org/mesh:D009765"],"mesh_disease_pubtator_kw":["obesity-related diseases"],"source_id":"https://identifiers.org/metabolights:MTBLS5943","study_findings":"Gene expression and lipid profiles provide insights into adipose tissue differences.","study_observation":"Transcriptional and lipidomic profiles of adipose tissues in 15 vertebrates.","study_summary":"Transcriptomic and lipidomic profiling of adipose tissues.","study_title_original":"Transcriptomic and lipidomic profiling of subcutaneous and visceral adipose tissues in 15 vertebrates"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0016301","https://identifiers.org/GO:0005737","https://identifiers.org/GO:0005634","https://identifiers.org/GO:0072537","https://identifiers.org/GO:0005615"],"go_kw":["kinase activity","cytoplasm","nucleus","fibroblast activation","extracellular space"],"integmet_study":"MTBLS5971","mesh_chemical_id":["https://identifiers.org/mesh:C499693"],"mesh_chemical_pubtator_kw":["NU7441"],"mesh_disease_id":["https://identifiers.org/mesh:D015427","https://identifiers.org/mesh:D051436","https://identifiers.org/mesh:D007674","https://identifiers.org/mesh:D014517"],"mesh_disease_pubtator_kw":["ischemia-reperfusion injury","chronic kidney disease","Kidney injury","ureteral obstruction"],"mesh_gene_id":["https://identifiers.org/ncbigene:19090","https://identifiers.org/ncbigene:21803","https://identifiers.org/ncbigene:74370","https://identifiers.org/ncbigene:24074"],"mesh_gene_pubtator_kw":["DNA-dependent protein kinase catalytic subunit","DNA-PKcs","transforming growth factor-beta 1","RAPTOR","TAF7"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["patients","mice"],"source_id":"https://identifiers.org/metabolights:MTBLS5971","study_findings":"DNA-PKcs inhibition corrects metabolic reprogramming via TAF7/mTORC1 signaling in CKD.","study_observation":"Expression of DNA-PKcs in CKD patients and mice.","study_summary":"DNA-PKcs affects CKD via TAF7/mTORC1 signaling.","study_title_original":"DNA-PKcs drives CKD progression by activating TAF7/RAPTOR/mTORC1 signaling-mediated metabolic reprogramming"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006954","https://identifiers.org/GO:0008654","https://identifiers.org/GO:0001786"],"go_kw":["inflammation","phospholipid synthesis","phosphatidylserine binding"],"integmet_study":"MTBLS600","mesh_chemical_id":["https://identifiers.org/mesh:D010718","https://identifiers.org/mesh:C483858","https://identifiers.org/mesh:D010743"],"mesh_chemical_pubtator_kw":["phosphatidylserine","phosphatidylethanolamine","phospholipid","PE","Phosphatidylserine","PS"],"mesh_disease_id":["https://identifiers.org/mesh:D008107","https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D065626","https://identifiers.org/mesh:D005234","https://identifiers.org/mesh:D005235","https://identifiers.org/mesh:D006528","https://identifiers.org/mesh:D005355"],"mesh_disease_pubtator_kw":["liver disease","inflammation","Liver Disease","Non-alcoholic fatty liver","steatosis","non-alcoholic steatohepatitis","liver cancer","fibrosis","NASH"],"mesh_gene_id":["https://identifiers.org/ncbigene:9927","https://identifiers.org/ncbigene:170731"],"mesh_gene_pubtator_kw":["Mfn2","mitofusin 2"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090","https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["mice","mouse","patients"],"source_id":"https://identifiers.org/metabolights:MTBLS600","study_findings":"Mfn2 deficiency disrupts PS transfer, causing ER stress and liver disease.","study_observation":"Mfn2 expression in liver biopsies and mouse models of NASH.","study_summary":"Mfn2 deficiency causes liver disease via PS transfer disruption.","study_title_original":"Deficient Endoplasmic Reticulum-Mitochondrial Phosphatidylserine Transfer Causes Liver Disease."},{"@type":"Dataset","integmet_study":"MTBLS613","mesh_chemical_id":["https://identifiers.org/mesh:D002244","https://identifiers.org/mesh:D000073893","https://identifiers.org/mesh:D000040","https://identifiers.org/mesh:D013402"],"mesh_chemical_pubtator_kw":["carbons","sugars","Abscisic acid","sugar alcohols"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:2730641"],"ncbi_taxonomy_pubtator_kw":["Gomphrena agrestis"],"source_id":"https://identifiers.org/metabolights:MTBLS613","study_findings":"Fructans, abscisic acid, sugars, phenolics, and pigments aid drought adaptation.","study_observation":"Metabolic strategies of Gomphrena agrestis in drought conditions.","study_summary":"Metabolomic study of Gomphrena agrestis under drought.","study_title_original":"A metabolomic study of Gomphrena agrestis in Brazilian Cerrado suggests drought-adaptive strategies on metabolism."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0009060","https://identifiers.org/GO:0006730"],"go_kw":["aerobic respiration","one-carbon metabolism"],"integmet_study":"MTBLS627","mesh_chemical_id":["https://identifiers.org/mesh:C032005","https://identifiers.org/mesh:C031150","https://identifiers.org/mesh:D000597","https://identifiers.org/mesh:C035736","https://identifiers.org/mesh:C008757"],"mesh_chemical_pubtator_kw":["fumaric acid","glyoxylate","branched-chain amino acids","glutaric acid","Palmitoleic acid"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mice","Mice"],"source_id":"https://identifiers.org/metabolights:MTBLS627","study_findings":"Metabolic changes in uterine fluid, uterus, and plasma during implantation.","study_observation":"Metabolite profiles of uterus, uterine fluid, and plasma.","study_summary":"Metabolic changes during peri-implantation in mice.","study_title_original":"Metabolic Changes of Maternal Uterine Fluid, Uterus, and Plasma during the Peri-implantation Period of Early Pregnancy in Mice."},{"@type":"Dataset","integmet_study":"MTBLS628","mesh_chemical_id":["https://identifiers.org/mesh:D005947","https://identifiers.org/mesh:C033158"],"mesh_chemical_pubtator_kw":["glucose","sulfuric acid"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:47664"],"ncbi_taxonomy_pubtator_kw":["Populus tremula x tremuloides","Populus"],"source_id":"https://identifiers.org/metabolights:MTBLS628","study_findings":"Increased biomass and glucose yield in transgenic trees compared to wild type.","study_observation":"Transgenic hybrid aspen lines with overexpression of PttVAP27-17.","study_summary":"Transgenic Populus trees improve biomass and saccharification.","study_title_original":"Overexpression of vesicle-associated membrane protein PttVAP27-17 as a tool to improve biomass production and the overall saccharification yields in Populus trees"},{"@type":"Dataset","integmet_study":"MTBLS629","mesh_disease_id":["https://identifiers.org/mesh:D007249"],"mesh_disease_pubtator_kw":["inflammation"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mouse"],"source_id":"https://identifiers.org/metabolights:MTBLS629","study_findings":"FACS alters metabolites, triggers mechanosensory signaling, inflammation-like stress, energy consumption, and cell damage.","study_observation":"Impact of FACS on cell metabolome of mouse macrophages","study_summary":"FACS impacts mouse macrophage metabolome.","study_title_original":"Flow cytometry has a significant impact on the cellular metabolome (General LC-MS assay)"},{"@type":"Dataset","integmet_study":"MTBLS631","mesh_disease_id":["https://identifiers.org/mesh:D007249"],"mesh_disease_pubtator_kw":["inflammation"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mouse"],"source_id":"https://identifiers.org/metabolights:MTBLS631","study_findings":"FACS alters metabolites, triggers mechanosensory signaling, inflammation-like stress, energy consumption, and cell damage.","study_observation":"Impact of FACS on cell metabolome of mouse peritoneal macrophages","study_summary":"FACS impacts mouse macrophage metabolome.","study_title_original":"Flow cytometry has a significant impact on the cellular metabolome (Lipidomic LC-MS assay)"},{"@type":"Dataset","integmet_study":"MTBLS633","mesh_disease_id":["https://identifiers.org/mesh:D007249"],"mesh_disease_pubtator_kw":["inflammation"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mouse"],"source_id":"https://identifiers.org/metabolights:MTBLS633","study_findings":"FACS alters metabolites, triggers mechanosensory signaling, inflammation-like stress, energy consumption, and cell damage.","study_observation":"Impact of FACS on cell metabolome of mouse peritoneal macrophages","study_summary":"FACS impacts mouse macrophage metabolome.","study_title_original":"Flow cytometry has a significant impact on the cellular metabolome (CE-MS assay)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006954","https://identifiers.org/GO:0005737","https://identifiers.org/GO:0005634","https://identifiers.org/GO:0018335","https://identifiers.org/GO:0006119"],"go_kw":["inflammation","cytoplasm","nucleus","protein succinylation","oxidative phosphorylation"],"integmet_study":"MTBLS6337","mesh_chemical_id":["https://identifiers.org/mesh:D008070","https://identifiers.org/mesh:D005680","https://identifiers.org/mesh:D019802"],"mesh_chemical_pubtator_kw":["LPS","lipopolysaccharides","GABA","gamma-amino butyric acid","succinate"],"mesh_disease_id":["https://identifiers.org/mesh:D009765","https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D018805"],"mesh_disease_pubtator_kw":["obesity","inflammation","inflammatory diseases","sepsis","inflammatory"],"mesh_gene_id":["https://identifiers.org/ncbigene:16176","https://identifiers.org/ncbigene:20905","https://identifiers.org/ncbigene:12362","https://identifiers.org/ncbigene:216799","https://identifiers.org/ncbigene:13537","https://identifiers.org/ncbigene:99982","https://identifiers.org/ncbigene:12125"],"mesh_gene_pubtator_kw":["IL-1beta","ASC","Caspase-1","NLRP3","interleukin (IL)-1beta","Dusp2","LSD1","Bcl2l11"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mice"],"source_id":"https://identifiers.org/metabolights:MTBLS6337","study_findings":"GABA inhibits IL-1\u03b2 production and alleviates sepsis and obesity in mice.","study_observation":"GABA's effect on macrophage maturation and IL-1\u03b2 production.","study_summary":"GABA regulates macrophage maturation and inflammation.","study_title_original":"GABA regulates IL-1\u03b2 production in macrophages"},{"@type":"Dataset","integmet_study":"MTBLS634","mesh_disease_id":["https://identifiers.org/mesh:D007249"],"mesh_disease_pubtator_kw":["inflammation"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mouse"],"source_id":"https://identifiers.org/metabolights:MTBLS634","study_findings":"FACS alters metabolites, triggers mechanosensory signaling, inflammation-like stress, energy consumption, and cell damage.","study_observation":"Impact of FACS on cell metabolome of mouse peritoneal macrophages","study_summary":"FACS impacts mouse macrophage metabolome.","study_title_original":"Flow cytometry has a significant impact on the cellular metabolome (GC-MS assay)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005737","https://identifiers.org/GO:0007155"],"go_kw":["cytoplasm","cell adhesion"],"integmet_study":"MTBLS6402","mesh_disease_id":["https://identifiers.org/mesh:D000306","https://identifiers.org/mesh:D018268","https://identifiers.org/mesh:D009362","https://identifiers.org/mesh:D004700"],"mesh_disease_pubtator_kw":["ACC cancer","ACC","adrenocortical carcinoma","metastases","endocrine malignancy","Adrenocortical carcinoma"],"mesh_gene_id":["https://identifiers.org/ncbigene:6624","https://identifiers.org/ncbigene:207","https://identifiers.org/ncbigene:2516","https://identifiers.org/ncbigene:7410","https://identifiers.org/ncbigene:1499"],"mesh_gene_pubtator_kw":["FSCN1","fascin","Rac","SF-1","VAV2","Steroidogenic Factor-1","beta-catenin"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:7955","https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["zebrafish","patients"],"source_id":"https://identifiers.org/metabolights:MTBLS6402","study_findings":"FSCN1 inactivation reduces ACC cell invasion and metastasis.","study_observation":"Effects of FSCN1 inactivation on ACC cell invasion.","study_summary":"FSCN1 as a target in ACC treatment.","study_title_original":"FSCN1 as a new druggable target in adrenocortical carcinoma"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006096"],"go_kw":["glycolysis"],"integmet_study":"MTBLS6516","mesh_chemical_id":["https://identifiers.org/mesh:C027693","https://identifiers.org/mesh:D005231","https://identifiers.org/mesh:D014364"],"mesh_chemical_pubtator_kw":["mannose-6-phosphate","polyunsaturated fatty acids","PUFAs","tryptophan"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9940"],"ncbi_taxonomy_pubtator_kw":["sheep"],"source_id":"https://identifiers.org/metabolights:MTBLS6516","study_findings":"Improved tryptophan pathways, reduced PUFA peroxidation, increased immunity via glycolysis and mannose-6-phosphate pathways.","study_observation":"Effects of mulberry leaves on mutton sheep's oxidation and immunity.","study_summary":"Mulberry leaves boost sheep immunity and oxidation resistance.","study_title_original":"Transcriptomics and metabolomics analysis reveal the anti-oxidation and immune boosting effects of mulberry leaves in growing mutton sheep"},{"@type":"Dataset","integmet_study":"MTBLS656","mesh_chemical_id":["https://identifiers.org/mesh:D006854"],"mesh_chemical_pubtator_kw":["cortisol"],"mesh_disease_id":["https://identifiers.org/mesh:D017760","https://identifiers.org/mesh:D009461"],"mesh_disease_pubtator_kw":["circadian misalignment","cardio-metabolic, immunological and neurological dysfunction"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["humans","Human","human","mice","patients"],"source_id":"https://identifiers.org/metabolights:MTBLS656","study_findings":"Feasibility of detecting chronobiome signals despite behavioral noise.","study_observation":"Time-dependent signals in physiological and multi-omics data.","study_summary":"Characterization of human chronobiome using multi-omics.","study_title_original":"A Pilot Characterization of the Human Chronobiome"},{"@type":"Dataset","integmet_study":"MTBLS6603","mesh_chemical_id":["https://identifiers.org/mesh:D052998","https://identifiers.org/mesh:D006571","https://identifiers.org/mesh:D009584","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:C078588","https://identifiers.org/mesh:D010100"],"mesh_chemical_pubtator_kw":["microcystins","organoheterocyclic compounds","nitrogen","lipids","microcystin","MC","oxygen"],"mesh_disease_id":["https://identifiers.org/mesh:D064420"],"mesh_disease_pubtator_kw":["toxicity"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:1126"],"ncbi_taxonomy_pubtator_kw":["Microcystis aeruginosa","M. aeruginosa"],"source_id":"https://identifiers.org/metabolights:MTBLS6603","study_findings":"409 metabolites identified; strain and growth phase influence metabolite profile.","study_observation":"Exudates of microcystin-producing and microcystin-free Microcystis aeruginosa strains.","study_summary":"Metabolomic analysis of Microcystis aeruginosa exudates.","study_title_original":"Comparative metabolomic analysis of exudates of microcystin-producing and microcystin-free Microcystis aeruginosa strains"},{"@type":"Dataset","integmet_study":"MTBLS662","mesh_chemical_id":["https://identifiers.org/mesh:D025101"],"mesh_chemical_pubtator_kw":["vitamin B6"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:3702"],"ncbi_taxonomy_pubtator_kw":["Arabidopsis"],"source_id":"https://identifiers.org/metabolights:MTBLS662","study_findings":"Identified regulatory actors and alternative metabolic routes in seed germination.","study_observation":"Transcriptomic datasets of Arabidopsis seed germination.","study_summary":"Pathway analysis reveals Arabidopsis germination mechanisms.","study_title_original":"Regulatory actors and alternative routes for Arabidopsis seed germination are revealed using a pathway\u2010based analysis of transcriptomic datasets"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0001890","https://identifiers.org/GO:0009058","https://identifiers.org/GO:0006810","https://identifiers.org/GO:0015721"],"go_kw":["placental development","biosynthesis","transport","bile acid transport"],"integmet_study":"MTBLS666","mesh_chemical_id":["https://identifiers.org/mesh:D013256","https://identifiers.org/mesh:D001647"],"mesh_chemical_pubtator_kw":["steroid hormone","steroid hormones","bile acid","bile acids"],"mesh_disease_id":["https://identifiers.org/mesh:C564254","https://identifiers.org/mesh:D010922"],"mesh_disease_pubtator_kw":["malformations","of placental"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9823"],"ncbi_taxonomy_pubtator_kw":["pig"],"source_id":"https://identifiers.org/metabolights:MTBLS666","study_findings":"SCNT fetuses have lower body weight, altered bile acid and steroid hormone levels in AF.","study_observation":"Body weight, amniotic fluid metabolome, placental transcriptome in SCNT and AI pig fetuses.","study_summary":"Metabolomic and transcriptomic changes in cloned pig fetuses.","study_title_original":"Identification of amniotic fluid metabolomic and placental transcriptomic changes associated with abnormal development of cloned pig fetuses."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0030154","https://identifiers.org/GO:0006555","https://identifiers.org/GO:0008152"],"go_kw":["cell differentiation","methionine metabolism","metabolism"],"integmet_study":"MTBLS6661","mesh_chemical_id":["https://identifiers.org/mesh:D008715"],"mesh_chemical_pubtator_kw":["methionine"],"mesh_disease_id":["https://identifiers.org/mesh:D000138","https://identifiers.org/mesh:D009369"],"mesh_disease_pubtator_kw":["acidosis","tumor"],"mesh_gene_id":["https://identifiers.org/ncbigene:20539"],"mesh_gene_pubtator_kw":["SLC7A5"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["mice"],"source_id":"https://identifiers.org/metabolights:MTBLS6661","study_findings":"Acidosis impairs methionine metabolism, preserving T cell stemness and enhancing anti-tumor efficacy.","study_observation":"Impact of extracellular-acidosis on T cell metabolic fitness and differentiation.","study_summary":"Extracellular-acidosis affects T cell metabolism and stemness.","study_title_original":"Extracellular-acidosis restricts one-carbon metabolism and preserves T cell stemness"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0042278","https://identifiers.org/GO:0009085","https://identifiers.org/GO:0006554","https://identifiers.org/GO:0043039","https://identifiers.org/GO:0006749","https://identifiers.org/GO:0006213"],"go_kw":["purine metabolism","lysine biosynthesis","lysine degradation","aminoacyl-tRNA biosynthesis","glutathione metabolism","pyrimidine metabolism"],"integmet_study":"MTBLS6663","mesh_chemical_id":["https://identifiers.org/mesh:D008239","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D012346","https://identifiers.org/mesh:D005978","https://identifiers.org/mesh:D001241"],"mesh_chemical_pubtator_kw":["lysine","lipid","aminoacyl-tRNA","glutathione","aspirin"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:159736"],"ncbi_taxonomy_pubtator_kw":["Macrobrachium nipponense","M. nipponense"],"source_id":"https://identifiers.org/metabolights:MTBLS6663","study_findings":"Feed efficiency affected by amino acid, lipid, nucleotide metabolism.","study_observation":"Differently expressed metabolites in hepatopancreas and muscle.","study_summary":"Metabolome analysis of prawn feed efficiency.","study_title_original":"Metabolome analysis reveal key regulatory pathways of feed conversion efficiency of oriental river prawn Macrobrachium nipponense"},{"@type":"Dataset","integmet_study":"MTBLS67","mesh_chemical_id":["https://identifiers.org/mesh:D009243","https://identifiers.org/mesh:D007656","https://identifiers.org/mesh:D014199","https://identifiers.org/mesh:D004880","https://identifiers.org/mesh:D000643","https://identifiers.org/mesh:C030985","https://identifiers.org/mesh:D012436","https://identifiers.org/mesh:D019802","https://identifiers.org/mesh:D000255"],"mesh_chemical_pubtator_kw":["NAD+","2-oxoglutarate","trehalose","ergothioneine","NH4Cl","purine","S-adenosyl-methionine","succinate","ATP"],"mesh_disease_id":["https://identifiers.org/mesh:D007222"],"mesh_disease_pubtator_kw":["nitrogen"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:4932","https://identifiers.org/taxonomy:4896"],"ncbi_taxonomy_pubtator_kw":["yeast","S. pombe"],"source_id":"https://identifiers.org/metabolights:MTBLS67","study_findings":"Significant metabolite changes, including trehalose increase and purine biosynthesis shut-off.","study_observation":"Metabolomic analysis of S. pombe during nitrogen starvation.","study_summary":"Metabolomic changes in fission yeast under nitrogen starvation.","study_title_original":"Metabolomic Analysis of Fission Yeast at the Onset of Nitrogen Starvation"},{"@type":"Dataset","integmet_study":"MTBLS673","mesh_chemical_id":["https://identifiers.org/mesh:D015126","https://identifiers.org/mesh:D004281","https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:C026219","https://identifiers.org/mesh:D005231","https://identifiers.org/mesh:D013256","https://identifiers.org/mesh:D016718","https://identifiers.org/mesh:D015118","https://identifiers.org/mesh:D017965","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D017962","https://identifiers.org/mesh:D014280"],"mesh_chemical_pubtator_kw":["dihomo-gamma-linolenic acid","docosahexaenoic acid","lipid","docosapentaenoic acid","UFAs","steroid hormone","arachidonic acid","eicosapentaenoic acid","gamma-linolenic acid","fatty acid","alpha-linolenic acid","triglycerides"],"mesh_disease_id":["https://identifiers.org/mesh:D004620","https://identifiers.org/mesh:D044343"],"mesh_disease_pubtator_kw":["fat","overnutrition"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:7959"],"ncbi_taxonomy_pubtator_kw":["Ctenopharyngodon idellus","C. idellus","grass carp"],"source_id":"https://identifiers.org/metabolights:MTBLS673","study_findings":"Grass diet lowers triglycerides, reduces fat, alters lipid composition","study_observation":"Effects of different diets on fish muscle quality","study_summary":"Diet effects on grass carp flesh quality","study_title_original":"Metabolomics Investigation of Dietary Effects on Flesh Quality in Grass Carp (Ctenopharyngodon idellus)"},{"@type":"Dataset","integmet_study":"MTBLS6736","mesh_chemical_id":["https://identifiers.org/mesh:D003687","https://identifiers.org/mesh:D005947","https://identifiers.org/mesh:C004999","https://identifiers.org/mesh:D005492"],"mesh_chemical_pubtator_kw":["dehydroepiandrosterone","glucose","ferulic acid","folic acid"],"mesh_disease_id":["https://identifiers.org/mesh:D017588","https://identifiers.org/mesh:D004700","https://identifiers.org/mesh:D010049","https://identifiers.org/mesh:D011085","https://identifiers.org/mesh:D044882","https://identifiers.org/mesh:D064806"],"mesh_disease_pubtator_kw":["hyperandrogenism","endocrine disorder","ovarian dysfunction","PCOS","Polycystic ovarian syndrome","polycystic ovarian morphology","abnormal glucose metabolism","polycystic ovary symptoms","microbiota dysbiosis","polycystic ovary syndrome"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090","https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:817","https://identifiers.org/taxonomy:357276"],"ncbi_taxonomy_pubtator_kw":["mice","human","mouse","Bacteroides fragilis","Bacteroides dorei"],"source_id":"https://identifiers.org/metabolights:MTBLS6736","study_findings":"YLTB ameliorates PCOS features and gut microbiota dysbiosis.","study_observation":"Effects of YLTB on gut microbiota and metabolites in PCOS mice.","study_summary":"YLTB affects gut microbiota in PCOS mice.","study_title_original":"Effects of Yulin Tong Bu formula on modulating gut microbiota and fecal metabolite interactions in mice with polycystic ovary syndrome"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0016020","https://identifiers.org/GO:0009058","https://identifiers.org/GO:0042710","https://identifiers.org/GO:0016746"],"go_kw":["membrane","biosynthesis","biofilm formation","acyltransferase activity"],"integmet_study":"MTBLS6758","source_id":"https://identifiers.org/metabolights:MTBLS6758","study_findings":"PatA regulates glycolipids, lipids synthesis, affecting drug resistance, biofilm formation in Mycobacterium smegmatis.","study_observation":"PatA's role in glycolipids, lipids synthesis, drug resistance, biofilm formation.","study_summary":"PatA regulates glycolipids, lipids in mycobacterium.","study_title_original":"PatA mediates biofilm formation and drugs resistance through regulating the synthesis of glycolipids and lipids in mycobacterium PatA mediates a novel mycolic acid synthesis pathway and regulates biofilm formation in mycobacterium"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006954"],"go_kw":["inflammation"],"integmet_study":"MTBLS6844","mesh_chemical_id":["https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["lipids","lipid"],"mesh_disease_id":["https://identifiers.org/mesh:D000086382","https://identifiers.org/mesh:D007249"],"mesh_disease_pubtator_kw":["COVID-19","inflammation","Coronavirus disease 2019","SARS-CoV-2 infections"],"mesh_gene_id":["https://identifiers.org/ncbigene:9370","https://identifiers.org/ncbigene:3605","https://identifiers.org/ncbigene:85480","https://identifiers.org/ncbigene:55801"],"mesh_gene_pubtator_kw":["adiponectin","IL-17","TSLP","IL-26"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:694013","https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:2697049"],"ncbi_taxonomy_pubtator_kw":["coronavirus","patients","patient","SARS-CoV-2","severe acute respiratory syndrome coronavirus 2"],"source_id":"https://identifiers.org/metabolights:MTBLS6844","study_findings":"Correlation of IL-26, TSLP, adiponectin with lipid profiles.","study_observation":"Lipidomic analysis, proinflammatory cytokines, and alarmins in COVID-19 serum.","study_summary":"Lipid metabolism and inflammation in COVID-19 patients.","study_title_original":"Dysregulation of lipid metabolism and pathological inflammation in patients with COVID-19"},{"@type":"Dataset","integmet_study":"MTBLS686","mesh_chemical_id":["https://identifiers.org/mesh:D026461","https://identifiers.org/mesh:C060037","https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["ecdysteroid","1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoglycerol","lipid"],"mesh_disease_id":["https://identifiers.org/mesh:D007154","https://identifiers.org/mesh:D008193","https://identifiers.org/mesh:D001424"],"mesh_disease_pubtator_kw":["immune deficiency","IMD","Lyme disease","bacterial infection"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:6945","https://identifiers.org/taxonomy:139"],"ncbi_taxonomy_pubtator_kw":["Ixodes scapularis","B. burgdorferi"],"source_id":"https://identifiers.org/metabolights:MTBLS686","study_findings":null,"study_observation":"Key metabolites/metabolic pathways in tick-microbe interactions","study_summary":"Study of tick-microbe metabolic interactions","study_title_original":"Metabolic changes associated with tick-microbe interactions"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006954","https://identifiers.org/GO:0008152","https://identifiers.org/GO:0005737","https://identifiers.org/GO:0005634","https://identifiers.org/GO:0001775","https://identifiers.org/GO:0001816","https://identifiers.org/GO:0006351","https://identifiers.org/GO:0005886","https://identifiers.org/GO:0031012","https://identifiers.org/GO:0050817","https://identifiers.org/GO:0006955","https://identifiers.org/GO:0006096"],"go_kw":["inflammation","metabolism","cytoplasm","nucleus","cell activation","cytokine production","transcription","cell membrane","extracellular matrix","coagulation","immune response","glycolysis"],"integmet_study":"MTBLS6886","mesh_chemical_id":["https://identifiers.org/mesh:D008070"],"mesh_chemical_pubtator_kw":["LPS"],"mesh_disease_id":["https://identifiers.org/mesh:D001170","https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D001778","https://identifiers.org/mesh:D018805","https://identifiers.org/mesh:D000086382","https://identifiers.org/mesh:D019446"],"mesh_disease_pubtator_kw":["septic","inflammation","blood coagulation","sepsis","COVID-19 disease","inflammatory","endotoxemia"],"mesh_gene_id":["https://identifiers.org/ncbigene:7040","https://identifiers.org/ncbigene:5211","https://identifiers.org/ncbigene:18641","https://identifiers.org/ncbigene:16476","https://identifiers.org/ncbigene:21803","https://identifiers.org/ncbigene:56717","https://identifiers.org/ncbigene:2162","https://identifiers.org/ncbigene:20846","https://identifiers.org/ncbigene:17127","https://identifiers.org/ncbigene:18033"],"mesh_gene_pubtator_kw":["transforming growth factor-beta","PFKL","phosphofructokinase-1 liver type","AP-1","TGF-beta","mTOR","F13A1","STAT1","SMAD3","NF-kappaB","TGFBRI"],"source_id":"https://identifiers.org/metabolights:MTBLS6886","study_findings":"TGF-\u03b2 regulates glycolysis and cytokine production, affecting sepsis survival.","study_observation":"Macrophage metabolism regulation and its effects on sepsis.","study_summary":"TGF-\u03b2 affects macrophage metabolism and sepsis survival.","study_title_original":"TGF-\u03b2 uncouples glycolysis and inflammation in macrophages and controls the survival during sepsis"},{"@type":"Dataset","integmet_study":"MTBLS6890","mesh_chemical_id":["https://identifiers.org/mesh:D024322","https://identifiers.org/mesh:D009584","https://identifiers.org/mesh:C005290","https://identifiers.org/mesh:D002244"],"mesh_chemical_pubtator_kw":["aromatic amino acid","nitrogen","oxybenzone","carbon","benzophenone-3"],"mesh_disease_id":["https://identifiers.org/mesh:D064420"],"mesh_disease_pubtator_kw":["toxicity"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:2562237"],"ncbi_taxonomy_pubtator_kw":["C. goreaui","Cladocopium goreaui"],"source_id":"https://identifiers.org/metabolights:MTBLS6890","study_findings":"BP-3 affects growth, photosynthesis, and amino acid metabolism in C. goreaui","study_observation":"Impacts of BP-3 on Cladocopium goreaui","study_summary":"Effects of BP-3 on Cladocopium goreaui metabolism","study_title_original":"Unraveling the metabolic effects of benzophenone-3 on the endosymbiotic dinoflagellate Cladocopium goreaui"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0014032"],"go_kw":["neural crest cell development"],"integmet_study":"MTBLS6927","mesh_gene_id":["https://identifiers.org/ncbigene:556894","https://identifiers.org/ncbigene:322248"],"mesh_gene_pubtator_kw":["tfec","SMARCE1"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:499056","https://identifiers.org/taxonomy:7955"],"ncbi_taxonomy_pubtator_kw":["Ahaetulla prasina","zebrafish"],"source_id":"https://identifiers.org/metabolights:MTBLS6927","study_findings":"Chromatophore morphology and SMARCE1 gene influence color variation.","study_observation":"Color morph-enriched Asian vine snakes (Ahaetulla prasina)","study_summary":"Genetic basis of color variation in vine snakes.","study_title_original":"Genetic mapping and molecular mechanism behind color variation in the Asian vine snake"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005737","https://identifiers.org/GO:0008152","https://identifiers.org/GO:0009058","https://identifiers.org/GO:0006595","https://identifiers.org/GO:0005634","https://identifiers.org/GO:0042116","https://identifiers.org/GO:0006351","https://identifiers.org/GO:0023052","https://identifiers.org/GO:0032259","https://identifiers.org/GO:0006955"],"go_kw":["cytoplasm","metabolism","synthesis","polyamine metabolism","nucleus","macrophage activation","transcription","signaling","methylation","immune response"],"integmet_study":"MTBLS696","mesh_chemical_id":["https://identifiers.org/mesh:D011073","https://identifiers.org/mesh:D013455","https://identifiers.org/mesh:D011700","https://identifiers.org/mesh:D003540","https://identifiers.org/mesh:D013095","https://identifiers.org/mesh:D012436","https://identifiers.org/mesh:D013096"],"mesh_chemical_pubtator_kw":["polyamines","sulfur","polyamine","putrescine","cystathionine","spermidine","S-adenosylmethionine","spermine"],"mesh_gene_id":["https://identifiers.org/ncbigene:1491","https://identifiers.org/ncbigene:5295","https://identifiers.org/ncbigene:2475"],"mesh_gene_pubtator_kw":["CTH","cystathionine gamma-lyase","phosphatidylinositol 3-kinase","MTOR"],"source_id":"https://identifiers.org/metabolights:MTBLS696","study_findings":"CTH expression disrupts macrophage activation, aiding pathogen survival.","study_observation":"Induction of cystathionine \u03b3-lyase (CTH) in macrophages by bacteria.","study_summary":"Pathogens activate reverse transsulfuration in macrophages.","study_title_original":"Bacterial Pathogens Hijack the Innate Immune Response by Activation of the Reverse Transsulfuration Pathway."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006631","https://identifiers.org/GO:0005634","https://identifiers.org/GO:0007507"],"go_kw":["fatty acid metabolism","nucleus","heart development"],"integmet_study":"MTBLS6982","mesh_chemical_id":["https://identifiers.org/mesh:D008239","https://identifiers.org/mesh:D000111","https://identifiers.org/mesh:D019308","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D005492"],"mesh_chemical_pubtator_kw":["lysine","N-acetyl-L-cysteine","PA","NAC","fatty acid","palmitic acid","folic acid"],"mesh_disease_id":["https://identifiers.org/mesh:D002658","https://identifiers.org/mesh:D006330","https://identifiers.org/mesh:D044342"],"mesh_disease_pubtator_kw":["abnormal heart development","CHD","maternal malnutrition","congenital heart disease"],"mesh_gene_id":["https://identifiers.org/ncbigene:216443","https://identifiers.org/ncbigene:14463","https://identifiers.org/ncbigene:2626"],"mesh_gene_pubtator_kw":["MARS","Mars","GATA4","GATA-binding protein 4"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["women","mice"],"source_id":"https://identifiers.org/metabolights:MTBLS6982","study_findings":"Palmitic acid increases CHD risk; K-Hcy targeting reduces CHD onset.","study_observation":"Palmitic acid concentration in pregnant women and mice.","study_summary":"Palmitic acid linked to congenital heart disease.","study_title_original":"Gestational palmitic acid suppresses embryonic GATA-binding protein 4 signaling and causes congenital heart disease"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006596","https://identifiers.org/GO:0015979"],"go_kw":["polyamine biosynthesis","photosynthesis"],"integmet_study":"MTBLS703","mesh_chemical_id":["https://identifiers.org/mesh:C116917","https://identifiers.org/mesh:C000913","https://identifiers.org/mesh:D011073","https://identifiers.org/mesh:C008500","https://identifiers.org/mesh:D008715","https://identifiers.org/mesh:D014805","https://identifiers.org/mesh:D002244"],"mesh_chemical_pubtator_kw":["acylcarnitines","adenosylcobalamin","polyamine","5'-methylthioadenosine","methionine","cobalamin","carbon","vitamin B12"],"mesh_disease_id":["https://identifiers.org/mesh:C564747"],"mesh_disease_pubtator_kw":["Cobalamin"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:35128"],"ncbi_taxonomy_pubtator_kw":["Thalassiosira pseudonana","T. pseudonana"],"source_id":"https://identifiers.org/metabolights:MTBLS703","study_findings":"Cobalamin limitation affects methionine cycle, transsulfuration pathway, and osmolyte pools in diatoms.","study_observation":"Metabolite pool changes in diatoms under cobalamin limitation.","study_summary":"Metabolic effects of cobalamin scarcity in diatoms.","study_title_original":"Metabolic consequences of cobalamin scarcity in diatoms as revealed through metabolomics  (Thalassiosira pseudonana study)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006596","https://identifiers.org/GO:0015979"],"go_kw":["polyamine biosynthesis","photosynthesis"],"integmet_study":"MTBLS708","mesh_chemical_id":["https://identifiers.org/mesh:C116917","https://identifiers.org/mesh:C000913","https://identifiers.org/mesh:D011073","https://identifiers.org/mesh:C008500","https://identifiers.org/mesh:D008715","https://identifiers.org/mesh:D014805","https://identifiers.org/mesh:D002244"],"mesh_chemical_pubtator_kw":["acylcarnitines","adenosylcobalamin","polyamine","5'-methylthioadenosine","methionine","cobalamin","carbon","vitamin B12"],"mesh_disease_id":["https://identifiers.org/mesh:C564747"],"mesh_disease_pubtator_kw":["Cobalamin"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:35128"],"ncbi_taxonomy_pubtator_kw":["Thalassiosira pseudonana","T. pseudonana"],"source_id":"https://identifiers.org/metabolights:MTBLS708","study_findings":"Cobalamin limitation affects methionine cycle, osmolyte pools, and polyamine biosynthesis.","study_observation":"Metabolite pool changes in diatoms under cobalamin limitation.","study_summary":"Metabolic effects of cobalamin scarcity in diatoms.","study_title_original":"Metabolic consequences of cobalamin scarcity in diatoms as revealed through metabolomics  (Navicula pelliculosa study)"},{"@type":"Dataset","integmet_study":"MTBLS726","mesh_disease_id":["https://identifiers.org/mesh:D000067877","https://identifiers.org/mesh:D001523","https://identifiers.org/mesh:D001321"],"mesh_disease_pubtator_kw":["Autism spectrum disorder","behavioral abnormalities","autistic behaviors","Autism Spectrum Disorder","ASD"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:10090"],"ncbi_taxonomy_pubtator_kw":["Human","mice","human","mouse","Mice"],"source_id":"https://identifiers.org/metabolights:MTBLS726","study_findings":"ASD microbiota induces autistic behaviors and gene splicing; metabolites modulate behaviors.","study_observation":"Gut microbiota from ASD and TD individuals transplanted into mice.","study_summary":"ASD microbiota affects mouse behavior and brain.","study_title_original":"Human Gut Microbiota from Autism Spectrum Disorder Promote Behavioral Symptoms in Mice"},{"@type":"Dataset","integmet_study":"MTBLS727","mesh_chemical_id":["https://identifiers.org/mesh:D001647","https://identifiers.org/mesh:D012694","https://identifiers.org/mesh:D015232","https://identifiers.org/mesh:D011453","https://identifiers.org/mesh:C000634368","https://identifiers.org/mesh:D009569","https://identifiers.org/mesh:D010649","https://identifiers.org/mesh:C026346","https://identifiers.org/mesh:D014527","https://identifiers.org/mesh:D011687","https://identifiers.org/mesh:D013256","https://identifiers.org/mesh:D013936","https://identifiers.org/mesh:D006147","https://identifiers.org/mesh:D019820","https://identifiers.org/mesh:D006854","https://identifiers.org/mesh:D014364","https://identifiers.org/mesh:C030985","https://identifiers.org/mesh:D014508","https://identifiers.org/mesh:D000641","https://identifiers.org/mesh:D000225","https://identifiers.org/mesh:D011743","https://identifiers.org/mesh:D011374","https://identifiers.org/mesh:D001224","https://identifiers.org/mesh:D006151","https://identifiers.org/mesh:D003348","https://identifiers.org/mesh:C015484","https://identifiers.org/mesh:C116917"],"mesh_chemical_pubtator_kw":["bile acids","serine","PGE2","prostaglandins","Nitroproston","prostaglandin","nitric oxide","L-phenylalanine","15-keto-PGE2","uric acid","purines","Steroids","thymidine","guanine","prostaglandin E2","xanthine","cortisol","steroids","L-tryptophan","purine","urea","ammonia","adenine","pyrimidines","progesterone","aspartate","guanosine","cortisone","pyridinoline","acylcarnitines","Purines"],"mesh_disease_id":["https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D001249","https://identifiers.org/mesh:D001991"],"mesh_disease_pubtator_kw":["inflammatory and obstructive diseases","asthma","obstructive bronchitis"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9986"],"ncbi_taxonomy_pubtator_kw":["rabbits"],"source_id":"https://identifiers.org/metabolights:MTBLS727","study_findings":"Nitroproston altered metabolites linked to anti-inflammatory properties and impacted steroidogenesis and purine metabolism.","study_observation":"Effects of Nitroproston on plasma metabolomics in rabbits.","study_summary":"Nitroproston's effects on rabbit plasma metabolomics.","study_title_original":"Rabbit plasma metabolomic analysis of Nitroproston: a multi target natural prostaglandin based-drug (Untargeted study)"},{"@type":"Dataset","integmet_study":"MTBLS739","mesh_chemical_id":["https://identifiers.org/mesh:D002784","https://identifiers.org/mesh:D000069059","https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["cholesterol","atorvastatin","lipid"],"mesh_disease_id":["https://identifiers.org/mesh:D050197","https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D058226"],"mesh_disease_pubtator_kw":["atherosclerosis","inflammatory","Atherosclerotic plaque"],"mesh_gene_id":["https://identifiers.org/ncbigene:3949"],"mesh_gene_pubtator_kw":["low-density lipoprotein receptor","LDLR"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["human"],"source_id":"https://identifiers.org/metabolights:MTBLS739","study_findings":"Lipid metabolism downregulated under LSS; atorvastatin recapitulates HSS phenotype.","study_observation":"Changes in endothelial cells under low and high shear stress.","study_summary":"Lipid metabolism in HUVEC under shear stress.","study_title_original":"Integrated Proteomics and Metabolomics Analysis Reveals Differential Lipid Metabolism in HUVEC under high and low shear stress"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005739","https://identifiers.org/GO:0005737","https://identifiers.org/GO:0043490","https://identifiers.org/GO:0008219","https://identifiers.org/GO:0006526"],"go_kw":["mitochondrion","cytoplasm","malate-aspartate shuttle","cell death","arginine synthesis"],"integmet_study":"MTBLS745","mesh_chemical_id":["https://identifiers.org/mesh:D001120","https://identifiers.org/mesh:D001224","https://identifiers.org/mesh:C030298"],"mesh_chemical_pubtator_kw":["arginine","aspartate","malate","Arginine"],"mesh_disease_id":["https://identifiers.org/mesh:D012128","https://identifiers.org/mesh:D001943","https://identifiers.org/mesh:D009369","https://identifiers.org/mesh:D028361","https://identifiers.org/mesh:C567192"],"mesh_disease_pubtator_kw":["mitochondrial distress","breast cancer","cancer","tumor","mitochondrial dysfunction","arginine auxotrophy"],"mesh_gene_id":["https://identifiers.org/ncbigene:445","https://identifiers.org/ncbigene:440"],"mesh_gene_pubtator_kw":["argininosuccinate synthase 1","asparagine synthetase","ASNS","ASS1"],"source_id":"https://identifiers.org/metabolights:MTBLS745","study_findings":"Arginine starvation causes mitochondrial dysfunction and aspartate depletion, reducing tumor growth in ASS1-deficient breast cancer.","study_observation":"Effects of arginine depletion on arginine-auxotrophic cancer cells.","study_summary":"Arginine starvation kills cancer cells via aspartate depletion.","study_title_original":"Arginine starvation kills tumor cells through aspartate exhaustion and mitochondrial dysfunction"},{"@type":"Dataset","integmet_study":"MTBLS756","mesh_chemical_id":["https://identifiers.org/mesh:D011564","https://identifiers.org/mesh:C043562","https://identifiers.org/mesh:D005419"],"mesh_chemical_pubtator_kw":["furanocoumarin","flavone","flavonoid"],"mesh_disease_id":["https://identifiers.org/mesh:D003920"],"mesh_disease_pubtator_kw":["diabetes"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:410774","https://identifiers.org/taxonomy:182111"],"ncbi_taxonomy_pubtator_kw":["bilobata","Ficus deltoidea Jack","Ficus deltoidea"],"source_id":"https://identifiers.org/metabolights:MTBLS756","study_findings":"Chemotype differentiation aids quality control of F. deltoidea.","study_observation":"Ficus deltoidea varieties and their chemical markers.","study_summary":"Ficus deltoidea varieties differentiated by metabolomics.","study_title_original":"Differentiation of Ficus deltoidea varieties and chemical marker determination by UHPLC-HRMS metabolomics for establishing quality control criteria of this medicinal herb"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006629"],"go_kw":["lipid metabolism"],"integmet_study":"MTBLS757","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:C067651","https://identifiers.org/mesh:C021247","https://identifiers.org/mesh:D016718"],"mesh_chemical_pubtator_kw":["lipid","glycerophosphoserines","pyrene decanoic acid","arachidonic acid","lipids"],"source_id":"https://identifiers.org/metabolights:MTBLS757","study_findings":"LION/web effectively identifies lipid terms and membrane fluidity changes","study_observation":"Lipid-associated terms in lipidomes and membrane fluidity","study_summary":"Validation of LION/web for lipidomics analysis","study_title_original":"LION-web validation lipidomics experiments (FA-incorporation, membrane fluidty)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0042278","https://identifiers.org/GO:0006954","https://identifiers.org/GO:0008152","https://identifiers.org/GO:0006955"],"go_kw":["purine metabolism","inflammation","metabolism","immune response"],"integmet_study":"MTBLS7584","mesh_chemical_id":["https://identifiers.org/mesh:C030985"],"mesh_chemical_pubtator_kw":["purine"],"mesh_disease_id":["https://identifiers.org/mesh:D000092562","https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D000857","https://identifiers.org/mesh:D020191"],"mesh_disease_pubtator_kw":["CRS","inflammation","OD","NOD","sinonasal inflammation","chronic rhinosinusitis","Olfactory dysfunction","olfactory dysfunction","inflammatory"],"mesh_gene_id":["https://identifiers.org/ncbigene:6348","https://identifiers.org/ncbigene:3567","https://identifiers.org/ncbigene:7124","https://identifiers.org/ncbigene:6347","https://identifiers.org/ncbigene:3576"],"mesh_gene_pubtator_kw":["MIP-1alpha","IL-5","TNF","MCP-1","IL-8"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:196024","https://identifiers.org/taxonomy:40214","https://identifiers.org/taxonomy:28901","https://identifiers.org/taxonomy:2094"],"ncbi_taxonomy_pubtator_kw":["patients","Aeromonas dhakensis","Acinetobacter johnsonii","Salmonella enterica","Mycoplasma arginini"],"source_id":"https://identifiers.org/metabolights:MTBLS7584","study_findings":"Decreased microbiome diversity, enriched purine metabolism, elevated inflammatory mediators in OD group.","study_observation":"Nasal microbiota, metabolites, and immune interactions in CRS patients.","study_summary":"Nasal microbiota-metabolite-immune interactions in CRS with OD.","study_title_original":"Disturbed Microbiota-Metabolites-Immune Interaction Network is Associated with Olfactory Dysfunction in Patients with Chronic Rhinosinusitis"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0046890","https://identifiers.org/GO:0008610"],"go_kw":["regulation of lipid biosynthesis","lipid biosynthesis"],"integmet_study":"MTBLS760","mesh_chemical_id":["https://identifiers.org/mesh:C000617955","https://identifiers.org/mesh:C018511"],"mesh_chemical_pubtator_kw":["1,2-decanediol","1,4-dichlorobenzene"],"mesh_disease_id":["https://identifiers.org/mesh:D006258","https://identifiers.org/mesh:D009369"],"mesh_disease_pubtator_kw":["Head and neck cancer","malignant disease","HNC","head and neck cancer"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["human"],"source_id":"https://identifiers.org/metabolights:MTBLS760","study_findings":"HNC significantly alters salivary volatile organic metabolites.","study_observation":"Differential expression of volatile metabolites in human saliva.","study_summary":"HNC effects on saliva volatile metabolites.","study_title_original":"Volatilomic insight of head and neck cancer via the effects observed on saliva metabolites"},{"@type":"Dataset","integmet_study":"MTBLS768","mesh_chemical_id":["https://identifiers.org/mesh:D005990","https://identifiers.org/mesh:D005227","https://identifiers.org/mesh:D013261","https://identifiers.org/mesh:C021273","https://identifiers.org/mesh:D008055"],"mesh_chemical_pubtator_kw":["glycerol","fatty acid","fatty acids","sterols","campesterol","lipids"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:159855"],"ncbi_taxonomy_pubtator_kw":["Acropora muricata"],"source_id":"https://identifiers.org/metabolights:MTBLS768","study_findings":"Metabolomic shifts precede photophysiological acclimation; LL to HL corals show metabolic reorganization.","study_observation":"Photoacclimation dynamics in Acropora muricata under altered light conditions.","study_summary":"Coral photoacclimation dynamics studied via photophysiology and metabolomics.","study_title_original":"Resolving coral photoacclimation dynamics through coupled photophysiological and metabolomic profiling"},{"@type":"Dataset","integmet_study":"MTBLS7711","mesh_chemical_id":["https://identifiers.org/mesh:D007930","https://identifiers.org/mesh:D009243","https://identifiers.org/mesh:D024841","https://identifiers.org/mesh:D017382","https://identifiers.org/mesh:D014238","https://identifiers.org/mesh:C047224","https://identifiers.org/mesh:D002244","https://identifiers.org/mesh:D000255"],"mesh_chemical_pubtator_kw":["L-leucine","NADH","fluoroquinolone","reactive oxygen species","TCA","sarafloxacin","carbon","ATP"],"mesh_disease_id":["https://identifiers.org/mesh:D012480","https://identifiers.org/mesh:C562694"],"mesh_disease_pubtator_kw":["SAR-R","SAR-S"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:90371"],"ncbi_taxonomy_pubtator_kw":["Salmonella Typhimurium","Salmonella"],"source_id":"https://identifiers.org/metabolights:MTBLS7711","study_findings":"L-leucine increases sarafloxacin efficacy by stimulating metabolism and reactive oxygen species in resistant Salmonella.","study_observation":"Metabolic differences between sarafloxacin-susceptible and resistant Salmonella Typhimurium.","study_summary":"L-leucine enhances sarafloxacin effect on resistant Salmonella.","study_title_original":"L-leucine increases the sensitivity of drug-resistant Salmonella to sarafloxacin by stimulating central carbon metabolism and increasing intracellular reactive oxygen species level (LC-MS positive mode)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006099","https://identifiers.org/GO:0008152","https://identifiers.org/GO:0006118"],"go_kw":["TCA cycle","metabolism","electron transfer"],"integmet_study":"MTBLS7713","mesh_chemical_id":["https://identifiers.org/mesh:D007930","https://identifiers.org/mesh:D009243","https://identifiers.org/mesh:D024841","https://identifiers.org/mesh:D017382","https://identifiers.org/mesh:D014238","https://identifiers.org/mesh:C047224","https://identifiers.org/mesh:D002244","https://identifiers.org/mesh:D000255"],"mesh_chemical_pubtator_kw":["L-leucine","NADH","fluoroquinolone","reactive oxygen species","TCA","sarafloxacin","carbon","ATP"],"mesh_disease_id":["https://identifiers.org/mesh:D012480","https://identifiers.org/mesh:C562694"],"mesh_disease_pubtator_kw":["SAR-R","SAR-S"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:90371"],"ncbi_taxonomy_pubtator_kw":["Salmonella Typhimurium","Salmonella"],"source_id":"https://identifiers.org/metabolights:MTBLS7713","study_findings":"L-leucine increases sarafloxacin efficacy by stimulating metabolism and reactive oxygen species in resistant Salmonella.","study_observation":"Metabolic differences between sarafloxacin-susceptible and resistant Salmonella Typhimurium.","study_summary":"L-leucine enhances sarafloxacin effect on resistant Salmonella.","study_title_original":"L-leucine increases the sensitivity of drug-resistant Salmonella to sarafloxacin by stimulating central carbon metabolism and increasing intracellular reactive oxygen species level (LC-MS negative mode)"},{"@type":"Dataset","integmet_study":"MTBLS775","mesh_chemical_id":["https://identifiers.org/mesh:D000470","https://identifiers.org/mesh:D002243","https://identifiers.org/mesh:C010262"],"mesh_chemical_pubtator_kw":["alkaloids","carbolines","beta-carboline"],"mesh_disease_id":["https://identifiers.org/mesh:D007239"],"mesh_disease_pubtator_kw":["infection"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:569578","https://identifiers.org/taxonomy:265552","https://identifiers.org/taxonomy:1682049"],"ncbi_taxonomy_pubtator_kw":["algae","Coscinodiscus granii","Lagenisma coscinodisci"],"source_id":"https://identifiers.org/metabolights:MTBLS775","study_findings":null,"study_observation":"Endo- and exo-metabolome of diatoms infected with Lagenisma coscinodisci","study_summary":"Metabolic profiling of infected diatoms using UPLC-MS orbitrap","study_title_original":"Metabolic profiling with UPLC-MS orbitrap of diatoms Coscinodiscus granii infected with parasitic oomycete Lagenisma coscinodisci"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0016135"],"go_kw":["saponin biosynthesis"],"integmet_study":"MTBLS779","mesh_chemical_id":["https://identifiers.org/mesh:D019289","https://identifiers.org/mesh:D000073893","https://identifiers.org/mesh:D012503","https://identifiers.org/mesh:D013395","https://identifiers.org/mesh:D000105"],"mesh_chemical_pubtator_kw":["pyruvate","sugar","saponin","sucrose","acetyl-CoA"],"mesh_disease_id":["https://identifiers.org/mesh:D018771","https://identifiers.org/mesh:D001172"],"mesh_disease_pubtator_kw":["joint pain","rheumatoid arthritis"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:2382309"],"ncbi_taxonomy_pubtator_kw":["yunnanensis"],"source_id":"https://identifiers.org/metabolights:MTBLS779","study_findings":"Higher sucrose utilization and acetyl-CoA efficiency in P. polyphylla var. chinensis.","study_observation":"Proteomic and metabolomic profiles of Paris species rhizomes.","study_summary":"Proteomic and metabolomic analysis of Paris species.","study_title_original":"Comparative analysis of proteomic and metabolomic profiles of different species of Paris"},{"@type":"Dataset","integmet_study":"MTBLS789","mesh_gene_id":["https://identifiers.org/ncbigene:2752"],"mesh_gene_pubtator_kw":["glutamate decarboxylase"],"source_id":"https://identifiers.org/metabolights:MTBLS789","study_findings":"Supports aspartate aminotransferase as target; off-target effect on glutamate decarboxylase","study_observation":"Effects of aspartate aminotransferase-inhibitor on two T-cell lines","study_summary":"Metabolic effects of enzyme inhibitor on T-cells","study_title_original":"Metabolic effects of an aspartate aminotransferase-inhibitor on two T-cell lines"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008152","https://identifiers.org/GO:0016310","https://identifiers.org/GO:0005634","https://identifiers.org/GO:0006954","https://identifiers.org/GO:0006351","https://identifiers.org/GO:0005886"],"go_kw":["metabolism","phosphorylation","nucleus","inflammatory response","transcription","cell membrane"],"integmet_study":"MTBLS795","mesh_chemical_id":["https://identifiers.org/mesh:D005947","https://identifiers.org/mesh:D004317"],"mesh_chemical_pubtator_kw":["glucose","doxorubicin"],"mesh_disease_id":["https://identifiers.org/mesh:D001943","https://identifiers.org/mesh:D020257","https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D066126"],"mesh_disease_pubtator_kw":["breast and other cancers","breast cancer","cardiac remodeling","inflammatory","cardiotoxicity"],"mesh_gene_id":["https://identifiers.org/ncbigene:26379","https://identifiers.org/ncbigene:2064","https://identifiers.org/ncbigene:2101","https://identifiers.org/ncbigene:13866"],"mesh_gene_pubtator_kw":["ERRalpha","ErbB2","HER2"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090","https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["mice","patients"],"source_id":"https://identifiers.org/metabolights:MTBLS795","study_findings":"ErbB2 and ERR\u03b1 deficiency affects cardiomyocyte architecture, inflammation, and metabolism.","study_observation":"Adverse cardiac remodeling and metabolic inflexibility in mice.","study_summary":"Cardiac remodeling due to ErbB2 and ERR\u03b1 deficiency.","study_title_original":"Integrated multi-omics analysis of adverse cardiac remodeling and metabolic inflexibility upon ErbB2 and ERR\u03b1 deficiency."},{"@type":"Dataset","integmet_study":"MTBLS809","mesh_chemical_id":["https://identifiers.org/mesh:D008055","https://identifiers.org/mesh:D002241"],"mesh_chemical_pubtator_kw":["lipids","lipid","saccharides"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9913"],"ncbi_taxonomy_pubtator_kw":["cows"],"source_id":"https://identifiers.org/metabolights:MTBLS809","study_findings":"67 differential metabolites identified; lipid and energy metabolism increased, AA metabolism decreased.","study_observation":"Plasma metabolites in multiparous dairy cows prepartum and postpartum.","study_summary":"Plasma metabolite changes in dairy cows during parturition.","study_title_original":"Plasma metabolite changes in dairy cows during parturition identified using untargeted metabolomics."},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0008152","https://identifiers.org/GO:0006915","https://identifiers.org/GO:0006096"],"go_kw":["metabolism","apoptotic cell death","glycolysis"],"integmet_study":"MTBLS858","mesh_chemical_id":["https://identifiers.org/mesh:D001645","https://identifiers.org/mesh:D008687","https://identifiers.org/mesh:D003847","https://identifiers.org/mesh:D000255"],"mesh_chemical_pubtator_kw":["biguanide","metformin","2-DG","ATP"],"mesh_disease_id":["https://identifiers.org/mesh:D005910","https://identifiers.org/mesh:D009369","https://identifiers.org/mesh:D009447"],"mesh_disease_pubtator_kw":["glioma","malignancies","Neuroblastoma","neuroblastoma","cancer"],"source_id":"https://identifiers.org/metabolights:MTBLS858","study_findings":"2-DG and metformin combination enhances radiosensitivity by disrupting metabolism and inducing G2/M arrest.","study_observation":"Radiosensitising effects of glycolysis and mitochondrial inhibitors on cancer cells.","study_summary":"Radiosensitisation of neuroblastoma and glioma cells studied.","study_title_original":"Inhibition of glycolysis and mitochondrial respiration promotes radiosensitisation of neuroblastoma and glioma cells"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0005737","https://identifiers.org/GO:0006915","https://identifiers.org/GO:0008283","https://identifiers.org/GO:0006281","https://identifiers.org/GO:0005634","https://identifiers.org/GO:0005886"],"go_kw":["cytoplasm","apoptosis","cell proliferation","DNA repair","nucleus","cell membrane"],"integmet_study":"MTBLS868","mesh_chemical_id":["https://identifiers.org/mesh:D012717","https://identifiers.org/mesh:D000081222"],"mesh_chemical_pubtator_kw":["sesquiterpene","bisabolane"],"mesh_disease_id":["https://identifiers.org/mesh:D007896","https://identifiers.org/mesh:D018366","https://identifiers.org/mesh:D007239","https://identifiers.org/mesh:D058069"],"mesh_disease_pubtator_kw":["Leishmania mexicana","CL","cutaneous leishmanaisis","Leishmaniasis","leishmaniasis","Infection","Neglected Tropical Disease"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:38568"],"ncbi_taxonomy_pubtator_kw":["Leishmania"],"source_id":"https://identifiers.org/metabolights:MTBLS868","study_findings":"Public-private effort to find new antileishmanials.","study_observation":"Natural products with activity against Leishmania mexicana.","study_summary":"Identifying antileishmanials in fungal extract library.","study_title_original":"Mining for natural product antileishmanials in a fungal extract library"},{"@type":"Dataset","integmet_study":"MTBLS87","mesh_chemical_id":["https://identifiers.org/mesh:C100085","https://identifiers.org/mesh:D005973","https://identifiers.org/mesh:C016195","https://identifiers.org/mesh:D014537","https://identifiers.org/mesh:C002315","https://identifiers.org/mesh:C011729","https://identifiers.org/mesh:D005978","https://identifiers.org/mesh:D000255"],"mesh_chemical_pubtator_kw":["GDP-glucose","glutamine","N-acetyl-glutamate","UDP-acetyl-glucosamine","N2-acetyl-lysine","citramalate","glutathione","ATP"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:4896","https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:4932"],"ncbi_taxonomy_pubtator_kw":["Schizosaccharomyces pombe","human","S. pombe","fission yeast","Schizosaccharomyces","yeast"],"source_id":"https://identifiers.org/metabolights:MTBLS87","study_findings":"75% of human blood compounds are in S. pombe; 14 new blood compounds identified.","study_observation":"Non-targeted metabolome of human blood using LC-MS.","study_summary":"Similarities between human and yeast metabolomes.","study_title_original":"Unexpected similarities between the Schizosaccharomyces and human blood metabolomes, and novel human metabolites (Blood fraction)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0000050","https://identifiers.org/GO:0006596","https://identifiers.org/GO:0006595"],"go_kw":["urea cycle","polyamine synthesis","polyamine metabolism"],"integmet_study":"MTBLS873","mesh_chemical_id":["https://identifiers.org/mesh:D011073","https://identifiers.org/mesh:D007213","https://identifiers.org/mesh:D000518","https://identifiers.org/mesh:D011700","https://identifiers.org/mesh:C044445","https://identifiers.org/mesh:D009952","https://identifiers.org/mesh:D013095","https://identifiers.org/mesh:D013096","https://identifiers.org/mesh:D008715","https://identifiers.org/mesh:D014508"],"mesh_chemical_pubtator_kw":["polyamines","indomethacin","eflornithine","polyamine","putrescine","MDL72527","ornithine","spermidine","Polyamine","Indomethacin","spermine","methionine","urea"],"mesh_disease_id":["https://identifiers.org/mesh:D008175","https://identifiers.org/mesh:D002289","https://identifiers.org/mesh:D007249","https://identifiers.org/mesh:D009369"],"mesh_disease_pubtator_kw":["Lung Cancer","NSCLC","inflammatory","cancer","Cancer","tumor","Non-small cell lung cancer","lung cancer"],"mesh_gene_id":["https://identifiers.org/ncbigene:4953","https://identifiers.org/ncbigene:6303","https://identifiers.org/ncbigene:54498","https://identifiers.org/ncbigene:196743"],"mesh_gene_pubtator_kw":["ornithine decarboxylase","spermidine/spermine-N1-acetyltransferase","spermine oxidase","polyamine oxidase","SAT1","SSAT"],"source_id":"https://identifiers.org/metabolights:MTBLS873","study_findings":"Indomethacin alters polyamine metabolism and enhances polyamine synthesis inhibitors' effects in NSCLC cells.","study_observation":"Effect of indomethacin on NSCLC cell lines A549 and H1299.","study_summary":"Indomethacin affects polyamine metabolism in NSCLC cells.","study_title_original":"Searching for Drug Synergy Against Cancer Through Polyamine Metabolism Impairment: Insight Into the Metabolic Effect of Indomethacin on Lung Cancer Cells."},{"@type":"Dataset","integmet_study":"MTBLS88","mesh_chemical_id":["https://identifiers.org/mesh:C100085","https://identifiers.org/mesh:D005973","https://identifiers.org/mesh:C016195","https://identifiers.org/mesh:D014537","https://identifiers.org/mesh:C002315","https://identifiers.org/mesh:C011729","https://identifiers.org/mesh:D005978","https://identifiers.org/mesh:D000255"],"mesh_chemical_pubtator_kw":["GDP-glucose","glutamine","N-acetyl-glutamate","UDP-acetyl-glucosamine","N2-acetyl-lysine","citramalate","glutathione","ATP"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:4896","https://identifiers.org/taxonomy:9606","https://identifiers.org/taxonomy:4932"],"ncbi_taxonomy_pubtator_kw":["Schizosaccharomyces pombe","human","S. pombe","fission yeast","Schizosaccharomyces","yeast"],"source_id":"https://identifiers.org/metabolights:MTBLS88","study_findings":"75% of human blood compounds are in S. pombe; 14 new blood compounds identified.","study_observation":"Non-targeted metabolome of human blood plasma and RBCs using LC-MS.","study_summary":"Similarities between human and yeast metabolomes.","study_title_original":"Unexpected similarities between the Schizosaccharomyces and human blood metabolomes, and novel human metabolites (Blood plasma and RBC fractions)"},{"@type":"Dataset","integmet_study":"MTBLS882","mesh_chemical_id":["https://identifiers.org/mesh:D010419"],"mesh_chemical_pubtator_kw":["diamidine","diamidines"],"mesh_disease_id":["https://identifiers.org/mesh:D014353"],"mesh_disease_pubtator_kw":["AAT","Animal African trypanosomiasis","Animal African Trypanosomiasis"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:10090","https://identifiers.org/taxonomy:5699","https://identifiers.org/taxonomy:5692"],"ncbi_taxonomy_pubtator_kw":["Mouse","mice","Trypanosoma vivax","Trypanosoma congolense"],"source_id":"https://identifiers.org/metabolights:MTBLS882","study_findings":"S-MGBs cure T. congolense in mice without cross-resistance to diamidines.","study_observation":"Efficacy of Strathclyde MGBs against Trypanosoma species in mice.","study_summary":"S-MGBs cure AAT in mice.","study_title_original":"Novel Minor Groove Binders cure animal African trypanosomiasis in an in vivo mouse model"},{"@type":"Dataset","integmet_study":"MTBLS883","ncbi_taxonomy_id":["https://identifiers.org/taxonomy:59689"],"ncbi_taxonomy_pubtator_kw":["Arabidopsis lyrata"],"source_id":"https://identifiers.org/metabolights:MTBLS883","study_findings":"Inbreeding doesn't compromise fitness or short-term physiological responses.","study_observation":"Mating system variation and genetic variability in Arabidopsis lyrata.","study_summary":"Inbreeding doesn't affect short-term physiological responses.","study_title_original":"Changing environments and genetic variation: inbreeding does not compromise short-term physiological responses"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0010154","https://identifiers.org/GO:0019748"],"go_kw":["fruit development","secondary metabolic process"],"integmet_study":"MTBLS889","mesh_chemical_id":["https://identifiers.org/mesh:D013729","https://identifiers.org/mesh:D000872","https://identifiers.org/mesh:D002338","https://identifiers.org/mesh:D005419","https://identifiers.org/mesh:D055549","https://identifiers.org/mesh:D065146","https://identifiers.org/mesh:D024505","https://identifiers.org/mesh:D039821"],"mesh_chemical_pubtator_kw":["terpenoid","anthocyanin","carotenoid","flavonoid","volatile organic compounds","zeaxanthin","tocopherols","monoterpenes"],"mesh_disease_id":["https://identifiers.org/mesh:D000069578","https://identifiers.org/mesh:C536747"],"mesh_disease_pubtator_kw":["water deficit","drought"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:29760"],"ncbi_taxonomy_pubtator_kw":["Vitis vinifera L."],"source_id":"https://identifiers.org/metabolights:MTBLS889","study_findings":"Drought modulates phenylpropanoid, terpenoid pathways; affects gene expression and secondary metabolism.","study_observation":"Impact of water deficit on secondary metabolism of white grapes.","study_summary":"Drought affects secondary metabolism in white grapes.","study_title_original":"Transcriptome and metabolite profiling reveals that prolonged drought modulates the phenylpropanoid and terpenoid pathway in white grapes (Vitis vinifera L.) (Carotenoids; UPLC-DAD assay)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0015979","https://identifiers.org/GO:0044403","https://identifiers.org/GO:0160109","https://identifiers.org/GO:0006793"],"go_kw":["photosynthesis","symbiosis","plant development","phosphorus metabolism"],"integmet_study":"MTBLS893","mesh_chemical_id":["https://identifiers.org/mesh:D010710","https://identifiers.org/mesh:D009584","https://identifiers.org/mesh:D010758","https://identifiers.org/mesh:D002338","https://identifiers.org/mesh:D000073893"],"mesh_chemical_pubtator_kw":["phosphate","nitrogen","phosphorus","carotenoids","sugars"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:588596","https://identifiers.org/taxonomy:252690","https://identifiers.org/taxonomy:3888"],"ncbi_taxonomy_pubtator_kw":["Rhizophagus irregularis","pea","Pisum sativum L."],"source_id":"https://identifiers.org/metabolights:MTBLS893","study_findings":"Mycorrhization affects internode number, seed weight, and metabolic profiles at various stages.","study_observation":"Metabolic alterations in pea leaves during arbuscular mycorrhiza development.","study_summary":"Metabolic changes in pea leaves during mycorrhization.","study_title_original":"Metabolic alterations in pea leaves during arbuscular mycorrhiza development."},{"@type":"Dataset","integmet_study":"MTBLS943","source_id":"https://identifiers.org/metabolights:MTBLS943","study_findings":"Metabolomics reveals geographic metabolic fingerprints and inter-/intraspecific variations in Espeletiinae","study_observation":"Metabolomic evidence for biogeographic segregation in Espeletiinae","study_summary":"Metabolomic evidence for Espeletiinae biogeographic segregation","study_title_original":"Metabolomic evidence for biogeographic segregation in Espeletiinae (Asteraceae): A new perspective on an Andean adaptive radiation in sky islands (Intraspecific chemical variability assay)"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0007165","https://identifiers.org/GO:0003677","https://identifiers.org/GO:0052033","https://identifiers.org/GO:0001897"],"go_kw":["signal transduction","DNA binding","PAMP triggered immunity (PTI)","pathogenesis"],"integmet_study":"MTBLS95","mesh_disease_id":["https://identifiers.org/mesh:D001424"],"mesh_disease_pubtator_kw":["bacterial infection"],"mesh_gene_id":["https://identifiers.org/ncbigene:824693"],"mesh_gene_pubtator_kw":["mkp1","mapk phosphatase 1"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:317","https://identifiers.org/taxonomy:223283","https://identifiers.org/taxonomy:3702"],"ncbi_taxonomy_pubtator_kw":["Pseudomonas syringae","DC3000","Pseudomonas syringae pv tomato DC3000","Arabidopsis"],"source_id":"https://identifiers.org/metabolights:MTBLS95","study_findings":"Decreased bioactive compounds in mkp1 impair T3SS effector delivery.","study_observation":"Metabolomic comparison of resistant and susceptible Arabidopsis genotypes.","study_summary":"Arabidopsis mkp1 affects Pseudomonas syringae resistance.","study_title_original":"Decreased abundance of type III secretion systeminducing signals in Arabidopsis mkp1 enhances resistance against Pseudomonas syringae"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0046246"],"go_kw":["terpene biosynthesis"],"integmet_study":"MTBLS968","mesh_chemical_id":["https://identifiers.org/mesh:D013729"],"mesh_chemical_pubtator_kw":["terpene","Terpene","terpenes"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["humans"],"source_id":"https://identifiers.org/metabolights:MTBLS968","study_findings":"Terpene compounds identified and quantified; method applicable for low concentration detection.","study_observation":"Terpene metabolite accumulation profiles in three grape cultivars.","study_summary":"Terpene profiles in Muscat grape cultivars analyzed.","study_title_original":"The accumulation profiles of Terpene metabolites of three Muscat table grape cultivars through HS-SPME-GCMS"},{"@type":"Dataset","go_id":["https://identifiers.org/GO:0007165"],"go_kw":["signal transduction"],"integmet_study":"MTBLS984","mesh_chemical_id":["https://identifiers.org/mesh:D011392","https://identifiers.org/mesh:D000872","https://identifiers.org/mesh:D005419","https://identifiers.org/mesh:D013267","https://identifiers.org/mesh:D055549","https://identifiers.org/mesh:D000597","https://identifiers.org/mesh:D000040"],"mesh_chemical_pubtator_kw":["proline","anthocyanins","flavonoid","stilbenoid","volatile organic compounds","branched-chain amino acids","ABA"],"mesh_disease_id":["https://identifiers.org/mesh:D000069578"],"mesh_disease_pubtator_kw":["water deficit","Water deficit","Water Deficit"],"mesh_gene_id":["https://identifiers.org/ncbigene:100268051"],"mesh_gene_pubtator_kw":["AP2"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:29760"],"ncbi_taxonomy_pubtator_kw":["Vitis vinifera L."],"source_id":"https://identifiers.org/metabolights:MTBLS984","study_findings":"Water deficit affects gene regulation, metabolite levels, and signal pathways.","study_observation":"Metabolic response of grape berries to water deficit.","study_summary":"Grape berry response to water deficit analyzed.","study_title_original":"Multi-Omics and Integrated Network Analyses Reveal New Insights into the Systems Relationships between Metabolites, Structural Genes, and Transcriptional Regulators in Developing Grape Berries (Vitis vinifera L.) Exposed to Water Deficit (Carotenoids; UPLC-DAD assay)."}]
