Prof. Oliver Fiehn
West Coast Metabolomics, Center University of California, Davis
Project Goal
To advance tools in analytical chemistry and bioinformatics to generate improved metabolomic data. These tools are used to understand which parts of larger biochemical networks respond to genetic perturbation or environmental strain.
The Challenges
- Compound identification, to be able to correctly identify all the compounds generated by LC-MS/MS
- Harmonisation of data structure, and validation of quantitative and qualitative measurement of metabolites in the metabolomics field, world-wide
- Interpretation of big data sets
The Solution
- Using a selection of powerful LC-MS/MS systems to develop tools and databases freely available to the scientific community for database integrations, genomic data integration, data visualizations, and software for data processing and compound identification.
The Outcomes
- 15 tools and databases developed to be used for data processing from state of the art LC-MS/MS systems
- Identification of biomarkers for early diagnostics of severe diseases such as diabetes and lung cancer
Type of Organization
NIH Regional Resource Core for metabolomics services
Goals
To increase the availability of metabolomics services to researchers in diverse fields while concurrently progressing the state-of-the art in metabolomics research.
Applications
Untargeted metabolomics by LC-MS/MS
SCIEX Products
- SCIEX QTRAP® 6500 System
- SCIEX QTRAP® 4000 System
- SCIEX TripleTOF® Systems