Systems biology guided by XCMS Online metabolomics

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 W W Adams, Gregory Krantz, Matthew W Fields, Paul D Robbins, Laura J Neidernhofer, Trey Ideker, Erica L Majumder, Judy D Wall, Nicholas J W RattrayRoy Goodacre, Luke L Lairson, Gary Siuzdak

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Abstract

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 Online1 that automatically superimposes raw metabolomic data onto metabolic pathways and integrates it with transcriptomic and proteomic data (http://XCMSOnline.scripps.edu/).
Original languageEnglish
Pages (from-to)461-462
Number of pages2
JournalNature Methods
Volume14
Issue number5
DOIs
Publication statusPublished - 27 Apr 2017

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Keywords

  • metabolomic data
  • metabolic pathways
  • proteomic data

Cite this

Huan, T., Forsberg, E. M., Rinehart, D., Johnson, C. H., Ivanisevic, J., Benton, H. P., ... Siuzdak, G. (2017). Systems biology guided by XCMS Online metabolomics. Nature Methods , 14(5), 461-462. https://doi.org/10.1038/nmeth.4260