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
- Weight Loss During Obesity Provokes Asparaginase-Associated Liver Steatosis and Endoplasmic Reticulum Stress
- Perturbations of Diet and Gut Signatures Persist During Remission in Crohn's Disease Despite Effective Immune Suppression
- Nuclear Receptor Subfamily 4 Group A Member 2 (NR4A2) Induces a Warburg-like Effect and Promotes Phospholipids Synthesis in the Mouse Heart
- Polyethylene Microplastic Exposure Disrupts Sex and Gut Hormones via Gut Microbial and Metabolic Pathways
- Unveiling Endotypes in Systemic Lupus Erythematosus Through Multi-Omic Analysis: Insights into Cardiovascular and Renal Complications
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
- AI Metabolomics Platform Enables Early Pancreatic Cancer Diagnosis - Technology Networks
- Nanopore Technology for Protein Analysis - Technology Networks
- How Cells Stop Faulty Proteins Before They Are Made - Technology Networks
- Emerging Proteomics Technologies and Applications - Technology Networks
- Measuring Neuroinflammation in Parkinson’s Disease - Technology Networks














