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
- Activity of GPCR-targeted drugs influenced by human gut microbiota metabolism
- Cathepsin D inhibits AGEs-induced phenotypic transformation in vascular smooth muscle cells
- A noncanonical role of SAT1 enables anchorage independence and peritoneal metastasis in ovarian cancer
- Integrating Metabolomics and Transcriptomics to Characterize Differential Functional Capabilities of Kidney Proximal Tubule Cell Subtypes
- Corrigendum to "Treatment response variations to a single large bolus of enteral cholecalciferol in vitamin D deficient critically ill children: Metabolomic insights for precision nutrition" [J. Steroid Biochem. Mol. Biol. 250 (2025) 106720]
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
- Exposure to Phthalates During Pregnancy Affects Baby's Metabolism - Technology Networks
- Disrupting DNA Repair Could Selectively Kill Cancer Cells - Technology Networks
- The Limits of Human Thermoregulation Are Lower Than Previously Thought - Technology Networks
- Impact of prenatal phthalate exposure on newborn metabolome and infant neurodevelopment - Nature
- Machine Learning Algorithm Reveals How Proteins Triggering Neurodegenerative Diseases Can Be Predicted - Technology Networks