Our research involves applying mass spectrometry-based technologies to perform molecular phenotyping at the population level. This work entails the development of both LC/MS and GC/MS methods for the quantification of lipids and other metabolites. A major focus of the lab also centers on developing the associated bioinformatics approaches including pathway analysis and network construction as well as multivariate statistical methods for integration of 'omics-based data structures.
Lab news
KI News
PubMed
- Protective effect of cornel iridoid glycoside against isoniazid- and rifampicin- induced liver injury via regulating JAK/STAT pathway
- A defined community of core gut microbiota members promotes cognitive performance in honey bees
- Utility of the post-cosyntropin urinary metabolomic profile for the subtype diagnosis of primary aldosteronism
- Decoding the breast cancer microenvironment by spatial multi-omics: from architecture to clinical translation
- Identification of antigonorrhoeal phytochemical lead compounds using a metabolomics-guided approach
VR News
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- MATRAC 1 School - time to apply
- Decision within Conference grants
- Open call - JPIAMR Network Call on Virtual Research Institute
Metabolomics News
- Industry Focus eBook - Metabolomics - News-Medical
- Metabolomic Profiling Reveals Hidden Asthma Disease Subtypes - EMJ
- From Biobank to Breakthrough: Activating Proteomic Data for Precision Medicine - Technology Networks
- Utilization of Serum Metabolomics and Polygenic Risk Scores in a Novel Risk Stratification Tool for the Prediction of Incident Atrial Fibrillation - American Heart Association Journals
- Gut Microbiota Biomarkers Identified in Diabetes with Heart Disease - EMJ














