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
- Astragaloside IV accelerates hematopoietic reconstruction by improving the AMPK/PGC1α-mediated mitochondrial function in hematopoietic stem cells
- Exogenous nano-silicon enhances the ability of intercropped faba bean to alleviate cadmium toxicity and resist Fusarium wilt
- Bidirectional causal associations between plasma metabolites and bipolar disorder
- Study of the effect of dryness and storage on Ceratonia siliqua L. stem extracts and evaluation of their insecticidal activity
- Enhancing wheat resilience to salt stress through an integrative nanotechnology approach with chitosan proline and chitosan glycine
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
- Integration of metabolomics and transcriptomics analyses reveals the effects of nano-selenium on pak choi - Nature
- How Automating Metabolomics Workflows Accelerates Toxicology Research - Technology Networks
- Brain Connectivity Differs in Autism - Technology Networks
- Lipid Accumulation Promotes Therapy Resistance in Triple-Negative Breast Cancer - Technology Networks
- Review: Utility of mass spectrometry in rare disease research and diagnosis - Nature.com