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
- Predicting Placenta Accreta Spectrum Disorder Through Machine Learning Using Metabolomic and Lipidomic Profiling and Clinical Characteristics
- Live bacteria in gut microbiome dictate asthma onset triggered by environmental particles via modulation of DNA methylation in dendritic cells
- Tryptophan Metabolism as a Key Target in PFOS-Mediated Decline of Porcine Oocyte Quality
- Bovine colostrum-derived extracellular vesicles modulate gut microbiota and alleviate atopic dermatitis via the gut-skin axis
- Metabolomic Profiling in Ischemic Stroke: Unraveling the Influence of Obesity and Identifying Potential Biomarkers Using (1)H NMR Spectroscopy
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
- Urine metabolite profiling in Indian males exposed to high-altitude: a longitudinal pilot study - Nature
- Biomarkers Reveal Neurological Basis for Long COVID - Technology Networks
- Regular Exercise Helps Maintain Vitamin D Levels During Winter - Technology Networks
- Exploring the antitrypanosomal potential of rosemary root endophytic fungi with metabolomic profiling and molecular docking insights - Nature
- Integrating metabolomics and transcriptomics to analyze differences in muscle mass and flavor formation in Gayal and yellow cattle - Frontiers