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
- A narrative review of metabolomics approaches in identifying biomarkers of doxorubicin-induced cardiotoxicity
- Metabolic profile of Holstein × Gyr cows: effects of parity and body condition score at calving
- Liver metabolomic profiles of sea lamprey (Petromyzon marinus) are influenced by sex and maturation stages
- Jasmonic Acid Signaling Pathway Mediates Decabromodiphenyl Ethane (DBDPE) Tolerance by Modulating Photosynthesis and Oxidative Stress in Sugar Beet: Insights from Integrative Physiological and Multiomics Analyses
- Delta 4-desaturase sphingolipid 2 enhances prostate cancer stem-like traits through phytoceramide-mediated PI3K-AKT signaling pathway
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
- A shared inflammatory signature across severe malaria syndromes manifested by transcriptomic, proteomic and metabolomic analyses - Nature
- Dynamic single-cell metabolomics reveals cell-cell interaction between tumor cells and macrophages - Nature
- Metabolomics and machine learning identify urine metabolic characteristics and potential biomarkers for severe Mycoplasma pneumoniae pneumonia - Nature
- Energy Levels in Neurons Change During a Stroke - Technology Networks
- Carbohydrate Choices in Midlife Affect Aging Outcomes - Technology Networks