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
- Isoflavones extracted from Millettia pachyloba prevent the infection of the rice blast fungus by inhibiting its conidial germination and appressorium formation
- Shared genetic architecture links energy metabolism, behavior and starvation resistance along a power-endurance axis
- A novel α-conotoxin [D1G, ΔQ14] LvIC decreased mouse locomotor activity
- High-speed centrifugation reduces immune rejection by removing bone marrow elements from fresh osteochondral allografts
- Comprehensive analysis of histophysiology, transcriptomics and metabolomics in goslings exposed to gossypol acetate: unraveling hepatotoxic mechanisms
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
- Intestinal Microbiomics and Liver Metabolomics Insights into the Ameliorative Effects of Selenium-Enriched Lactobacillus fermentum FZU3103 on Alcohol-Induced Liver Injury in Mice - ACS Publications
- Mapping metabolite disturbances by drugs - Chemistry World
- Untargeted metabolomic and proteomic analysis implicates SIRT2 as a novel therapeutic target for diabetic nephropathy - Nature.com
- Ion suppression correction and normalization for non-targeted metabolomics - Nature.com
- ApoB100's Shape and Structure Revealed for the First Time - Technology Networks