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
- Integrative metabolomics and proteomics reveal early cardiovascular risk signatures in PCOS female offspring
- SOX8/CPT2 axis regulates lipid metabolism to support enzalutamide resistance in prostate cancer
- Nano-silicon spraying enhances antioxidant defense and nutritional value in pepper fruits: a metabolomics insight
- Transcriptomic and metabolomic analysis reveals key genes and metabolites in common vetch (Vicia sativa L.) response to drought stress
- Deep-coverage, high-throughput single-cell metabolomics
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
- Deep-coverage, high-throughput single-cell metabolomics - Nature
- Spatiotemporal metabolic mapping reveals diet-independent remodeling of the postnatal mouse brain - Nature
- Chromatography-Based Metabolomic Insights for Safer Kimchi Fermentation - Chromatography Online
- Single-Cell Omics Market Size, Share, Growth | CAGR of 16.2% - Market.us
- Deep-coverage single-cell metabolomics enabled by ion mobility-resolved mass cytometry - Nature














