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
- Multi-omics insights into immunometabolic dysregulation in neonatal sepsis for precision medicine
- Integrated mineralogical, metabolomic, and gene expression analysis of the phosphate-solubilizing mechanism of Pseudomonas sp. PSB-13
- From Adaptation to Collapse: Immune Remodeling, Mitochondrial Dysfunction, and Cell Death Induced by Polystyrene Nanoplastics in Procambarus clarkii Hepatopancreas
- Classifying smoking status using linear and non-linear models based on clinical health records
- Multiomics Analysis Identifies Candidate Molecular, Microbiota, and Metabolite Features Associated with Acute Myocardial Infarction Combined with Chronic Renal Failure
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
- LC-MS Assists in Blood Test Targeting Lung Cancer Detection - Chromatography Online
- Colloidal Crystal Column Advances Single-Cell Proteome Mapping - Technology Networks
- Targeting Tumor Metabolism To Fight Cancer - Mirage News
- Exposing Hidden Layers of Cancer Biology With Proteomics - Technology Networks
- Metabolomic profiling delineates the role of adenosine in oocyte quality and embryonic development - Nature














