Journal
ANALYTICAL CHEMISTRY
Volume 82, Issue 5, Pages 1653-1658Publisher
AMER CHEMICAL SOC
DOI: 10.1021/ac9022023
Keywords
-
Categories
Funding
- CREST
- Japan Science and Technology Agency
- Research and Development Program for New Bioindustry Initiatives of the Bio-oriented Technology Research Advancement Institution (BRAIN)
- New Energy and Industrial Technology Development Organization (NEDO)
Ask authors/readers for more resources
NMR-based metabolomics has become a practical and analytical methodology for discovering novel genes, biomarkers, metabolic phenotypes, and dynamic cell behaviors in organisms. Recent developments in NMR-based metabolomics, however, have not concentrated on improvements of comprehensiveness in terms of simultaneous large-scale metabolite detections. To resolve this, we have devised and implemented a statistical index, the SpinAssign p-value, in NMR-based metabolomics for large-scale metabolite annotation and publicized this information. It enables simultaneous annotation of more than 200 candidate metabolites from the single C-13-HSQC (heteronuclear single quantum coherence) NMR spectrum of a single sample of cell extract.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available