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
- Pleural Fluid Amino Acids Contribute to Distinguishing Tuberculosis, Malignant, and Parapneumonic Pleural Effusion Patients
- Asiaticoside-nitric oxide synergistically accelerate diabetic wound healing by regulating key metabolites and SRC/STAT3 signaling
- Genomic and proteomic analyses of Nus-dependent non-lambdoid phages reveal a novel coliphage group prevalent in gut: mEp<sub>immI</sub>
- The influence of circadian rhythm disruption during Ramadan on metabolic responses to physical activity: a pilot study
- A critical review of microbiome-derived metabolic functions and translational research in liver diseases
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
- UHPLC-MS/MS-based untargeted metabolite profiling of Lyme neuroborreliosis - Nature.com
- Temperature May Control Protein Shapeshifting - Technology Networks
- Translational Omics – The Role of Biomarkers and Mass Spectrometry - Technology Networks
- Future-Proofing Growth of Spatial Metabolomics Analysis - openPR
- Metabolomics Services Market In-Depth Analysis in New Research - openPR