integMET is an integrated metabolomics database that organizes metabolomics studies as comparable differential metabolite profiles.
Instead of treating each study as an isolated dataset, integMET standardizes metabolite changes into Differential Profiles, enabling cross-study comparison, similarity analysis, and large-scale exploration of metabolic responses across biological conditions.
Public metabolomics repositories have greatly expanded access to experimental data. However, most databases organize data by study, making it difficult to compare metabolic responses across independent experiments.
integMET introduces a different perspective.
Rather than focusing on individual studies, integMET organizes metabolomics data as Differential Profiles: standardized representations of metabolite changes between biological conditions.
This enables researchers to discover common metabolic responses across diseases, treatments, developmental stages, species, and other biological contexts.
Explore curated metabolite changes derived from biological comparisons rather than raw abundance measurements.
Integrates thousands of biological comparisons from public metabolomics repositories, covering diverse species, diseases, treatments, and experimental conditions.
Compare metabolic responses across independent studies, experimental conditions, and species using a standardized representation.
Visualize thousands of biological comparisons connected by metabolic similarity, providing a global view of metabolic responses across biology.
Access standardized metabolomics data through an open, reusable, and machine-readable resource.
integMET integrates metabolomics studies from major public repositories, including:
Experimental metadata are standardized, and differential metabolite profiles are generated through a consistent processing pipeline to facilitate large-scale comparison.
The fundamental unit of integMET is the Differential Profile.
Study
↓
Group Comparison
↓
Differential Profile
↓
Metabolites
This data model allows metabolite changes to be compared directly across independent studies while preserving links to the original experiments.
For a detailed description of the data model, see the Documentation.
The complete documentation includes:
integMET is currently under active development.
New studies, Differential Profiles, visualization tools, and analytical functions are continuously being added.
integMET is an academic research project led by Dr. Eisuke Hayakawa (Kyushu Institute of Technology and RIKEN) in collaboration with researchers from multiple universities and research institutes.
integMET is supported by the Japan Science and Technology Agency (JST) through the Integrated Database Project of the National Bioscience Database Center (NBDC).
For more information about the project, please visit:
https://biosciencedbc.jp/en/funding/project/202403.html
If you use integMET in your research, please cite:
Citation information will be added following publication.
Project Lead
Eisuke Hayakawa, Ph.D.
Associate Professor
Kyushu Institute of Technology
Email: eisuke.hayakawa@bio.kyutech.ac.jp