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
- Spatial metabolomics reveals skeletal myofiber subtypes
- Picornavirus infection enhances aspartate by the SLC38A8 transporter to promote viral replication
- Association of plasma metabolites and diagnostic imaging findings with hepatic lipidosis in bearded dragons (Pogona vitticeps) and effects of gemfibrozil therapy
- Full title: Spatial analysis of the ancient proteome of archeological teeth using mass spectrometry imaging
- Metabolomic Markers of Ultra-Processed Food and Incident CKD
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
- Trudiagnostic partners with Rejuve.AI to improve chronological age ... - BioWorld Online
- Spatial metabolomics reveals skeletal myofiber subtypes - Science
- Harnessing the power of AI to learn more about deadly cancers - Interesting Engineering
- AI Algorithm Can Identify Potential Therapeutic Targets for Cancer - HealthITAnalytics.com
- BD Introduces High-Throughput Single-Cell Multiomics Platform to ... - Investor Relations - BD