Authors
Tao Huan, Erica M Forsberg, Duane Rinehart, Caroline H Johnson, Julijana Ivanisevic, H Paul Benton, Mingliang Fang, Aries Aisporna, Brian Hilmers, Farris L Poole, Michael P Thorgersen, Michael WW Adams, Gregory Krantz, Matthew W Fields, Paul D Robbins, Laura J Niedernhofer, Trey Ideker, Erica L Majumder, Judy D Wall, Nicholas JW Rattray, Royston Goodacre, Luke L Lairson, Gary Siuzdak
Publication date
2017/5
Journal
Nature methods
Volume
14
Issue
5
Pages
461-462
Publisher
Nature Publishing Group
Description
An aim of systems biology is to understand complex interactions between genes, proteins and metabolites by integrating and modeling multiple data sources. We report an'integrated-omics' approach within XCMS Online 1 that automatically superimposes raw metabolomic data onto metabolic pathways and integrates it with transcriptomic and proteomic data (http://XCMSOnline. scripps. edu/).
Mapping downstream metabolite changes onto metabolic pathways and biological networks can provide considerable mechanistic insight that can be confirmed by association to multi-omic data. However, pathway analysis using untargeted metabolomics requires intense data curation, including feature filtering, statistical analysis and metabolite identification. Subjectively defined values such as fold change, P value and signal intensity cut-off are needed to identify significantly dysregulated metabolite features within enormous …
Scholar articles
T Huan, EM Forsberg, D Rinehart, CH Johnson… - Nature methods, 2017