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
- Macropinocytosis inhibits alkaliptosis in pancreatic cancer cells through fatty acid uptake
- Methods for Cultivation of Bacteroides thetaiotaomicron and Analysis of Heme Metabolism by Mass Spectrometry and Spectroscopic Approaches
- Exploiting Differential Signal Filtering (DSF) and Image Structure Filtering (ISF) Methods for Untargeted Mass Spectrometry Imaging of Bacterial Metabolites
- DeepIDA-GRU: a deep learning pipeline for integrative discriminant analysis of cross-sectional and longitudinal multiview data with applications to inflammatory bowel disease classification
- Modifying Levels of Maternal Dietary Folic Acid or Choline to Study the Impact of Deficiencies on Offspring Health Outcomes
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
- Metabolomics Technologies Market Expected to Reach $30.2 Billion by 2029 - PR Newswire
- Exploring Gut Microbiota and Metabolite Alterations in Patients with Thyroid-Associated Ophthalmopathy Using High-Throughput Sequencing and Untargeted Metabolomics - Frontiers
- Metabolomics Market Expected to Achieve 12.3% CAGR, - GlobeNewswire
- Metabolomics Market Expected to Achieve 12.3% CAGR, - GlobeNewswire
- GC–MS based metabolomic profiling of Aporosa cardiosperma (Gaertn.) Merr. leaf extracts and evaluating its therapeutic potential - Nature.com