Study details
- Title
- geoRge: A Computational Tool To Detect the Presence of Stable Isotope Labeling in LC/MS-Based Untargeted Metabolomics.
- Summary
- geoRge detects isotope labeling in metabolomics.
- Observation
- LC/MS data from ARPE-19 cells under glucose conditions
- Findings
- geoRge compares isotopic distributions, showing new m/z peaks and higher intensity.
- Disease terms
- diabetic retinopathy
- Gene terms
- —
- Chemical terms
- glucose
- Organisms
- human
Raw data (JSON)
Also available at
/api/study/https://identifiers.org/metabolights:MTBLS213.
{
"@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."
}