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
- Microplastic effects on mouse colon in normal and colitis conditions: A literature review
- Elucidating the pharmacological foundations and mechanisms of the Sihai Shuyu formula in treating Graves' disease through integrated serum metabolomics and network pharmacology with molecular docking techniques
- Microbiota-derived 3-Methyl-L-histidine mediates the proatherogenic effect of high chicken protein diet
- Tumor Treating Fields enhance chemotherapy efficacy by increasing cellular drug uptake and retention in mesothelioma cells
- Identification of urinary metabolites correlated with tacrolimus levels through high-precision liquid chromatography-mass spectrometry and machine learning algorithms in kidney transplant patients
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
- Visualization OPLS class models of GC-MS-based metabolomics data for identifying agarwood essential oil extracted by hydro-distillation - Nature.com
- Histone demethylase inhibitor KDM5-C70 regulates metabolomic and lipidomic programming during an astrocyte differentiation of rat neural stem cell - Nature.com
- Seven companies using metabolomics to decode biology - Labiotech.eu
- New Structural Insights Into the Minor Spliceosome - Technology Networks
- Serum biomarkers associated with health impacts of high residential radon exposure: a metabolomic pilot study - Nature.com