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
- Stratification of glioblastoma patient survival based on tumor core and edge metabolomic data
- FTIR- and LC-HRMS-Metabolomics Analysis, Total Phenolics, and Antioxidant Activity of Sida rhombifolia From Different Growth Locations
- Advancing fungal phylogenetics: integrating modern sequencing, dark taxa discovery, and machine learning
- Metabolite classification through novel metabolomics framework reveals mechanism underlying the therapeutic effects of PSD95-nNOS blockade for post-stroke depression
- Moving past multidisciplinary discussions and Gender-Age-Physiology model: precision medicine through biological phenotyping in interstitial lung disease
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
- Multiomics Market Size, Top Share, Global Trends & Insights to 2033 - Straits Research
- Integrative proteomics and metabolomics reveal important pathways and potential biomarkers in high-altitude pulmonary hypertension - Nature
- Exploring the impact of diet, sleep, and metabolomic pathways on Glaucoma subtypes: insights from Mendelian randomization and cross-sectional analyses - Nutrition & Metabolism
- Preclinical atherosclerosis and prediabetes: a cross-sectional metabolic assessment in apparently healthy population - BioMed Central
- Metabolomics and transcriptomics reveal the quality formation mechanism during the processing of black tea - Nature