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
- Integrated transcriptomics and untargeted metabolomics reveal bone development and metabolism of newly weaned mice in response to dietary calcium and boron levels
- Exploring the antibiotic resistance of <em>Listeria monocytogenes</em> in food environments - a review
- Gut microbiota carbon and sulfur metabolisms support Salmonella infections
- Calycosin-7-O-β-D-Glucoside Ameliorates Palmitate-Induced Lipid Accumulation in HT22 Cells
- Causal relationship between plasma lipidome and four types of pancreatitis: a bidirectional Mendelian randomization study
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
- Global transcription and metabolic profiles of five tissues in pepper fruits - Nature.com
- USP50 Protein Supports the DNA Replication Process - Technology Networks
- Metabolomics Applications: From Medicine to Agriculture - Technology Networks
- Metabolon Launches New "Guide to Multiomics" and Accompanying Multiomics Webinar - Taiwan News
- Metabolomic changes in preterminal serum samples of rhesus macaques exposed to two different lethal doses of total-body gamma-radiation - Nature.com