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Data processing, multi-omic pathway mapping, and metabolite activity analysis using XCMS Online.

Erica M Forsberg1,2, Tao Huan1, Duane Rinehart1

  • 1Center for Metabolomics and Mass Spectrometry, The Scripps Research Institute, La Jolla, California, USA.

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Summary
This summary is machine-generated.

XCMS Online is a new platform for systems biology research. It processes metabolomics data to map metabolic pathways and integrates multi-omics data for deeper biological insights.

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Area of Science:

  • Systems biology
  • Metabolomics
  • Bioinformatics

Background:

  • Systems biology requires analyzing complex, information-dense datasets.
  • Bioinformatics tools are crucial for interpreting large-scale biological data.
  • Metabolomics provides insights into biological processes through downstream functional products.

Purpose of the Study:

  • To introduce XCMS Online, a platform for processing and interpreting metabolomics data.
  • To detail the systems biology workflow within XCMS Online for metabolic pathway mapping.
  • To demonstrate integration of multi-omics data for enhanced systems-wide analysis.

Main Methods:

  • Utilizing XCMS Online for processing liquid chromatography-mass spectrometry (LC-MS) data.
  • Performing feature identification, retention time correction, and statistical analysis.
  • Employing predictive metabolic pathway analysis and multi-omics data integration.

Main Results:

  • XCMS Online enables rapid metabolic pathway mapping from raw metabolomics data.
  • The platform facilitates systems-wide analysis by integrating genomic and proteomic data.
  • Unique visualization tools aid in elucidating statistically significant dysregulated pathways.

Conclusions:

  • XCMS Online provides an accessible workflow for systems biology research.
  • The platform enhances the investigation of dysregulated metabolic processes.
  • Integration of multi-omics data offers comprehensive mechanistic insights.