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
- Response to "From promising signatures to clinically credible prediction: Strengthening microbiome-metabolome prognostic research"
- Brain-gut crosstalk associated with brain ageing in young and mid-life adults: a multicohort cross-sectional study
- ABA Signaling De-Repression Coordinates With Cytokinin to Drive Large Petal Formation in Brassica napus
- Metabolic Trade-Off Between Carbon and Phenylpropanoid Pathways in Wheat Under Saline-Alkali Stress Revealed by Multi-Omics Analysis
- engGNN: a dual-graph neural network for omics-based disease classification and feature selection
VR News
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- This RSS feed has been discontinued. Welcome to our website Vetenskapsradet.se where you can subscribe to updates and newsletters.
- MATRAC 1 School - time to apply
- Decision within Conference grants
- Open call - JPIAMR Network Call on Virtual Research Institute
Metabolomics News
- Case-control study finds altered lipoprotein metabolomic signature in m.3243A>G carriers - Bioengineer.org
- The Emerging Power of Mass Spectrometry in Oncology - Genetic Engineering and Biotechnology News
- Engineered Fibroblast Growth Factor May Support Tissue Repair Therapies - Technology Networks
- Autism Protein Interaction Map Reveals Common Therapeutic Targets - Technology Networks
- Prednisone Suppressed Bone Growth Biomarkers in Duchenne Muscular Dystrophy - Technology Networks














