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A view from above: cloud plots to visualize global metabolomic data.

Gary J Patti1, Ralf Tautenhahn, Duane Rinehart

  • 1Washington University, Department of Chemistry, Saint Louis, Missouri 63110, USA. gjpattij@wustl.edu

Analytical Chemistry
|December 5, 2012
PubMed
Summary

Global metabolomics visualizes small molecules. A new "cloud plot" aids metabolite identification and reveals hydrophilic metabolite changes as an early sepsis signature.

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Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Systems Biology

Background:

  • Global metabolomics analyzes small molecules using mass spectrometry, generating large datasets.
  • Existing visualization methods often omit crucial data dimensions, hindering interpretation.
  • Metabolite identification is a bottleneck in untargeted metabolomic workflows.

Purpose of the Study:

  • To introduce a novel visualization scheme for global metabolomic data.
  • To facilitate simultaneous visualization of multiple data parameters for improved interpretation.
  • To aid in metabolite identification within complex datasets.

Main Methods:

  • Developed a "cloud plot" visualization for multidimensional metabolomic data.
  • Applied the cloud plot to analyze data from septic mice.
  • Utilized XCMS software to extract cloud plot data as standard output.

Main Results:

  • The cloud plot effectively represents complex, multidimensional metabolomic data.
  • Identified alterations in hydrophilic metabolites as potential early biomarkers for sepsis.
  • Demonstrated that hydrophilic metabolite changes may precede clinical symptoms of sepsis.

Conclusions:

  • The cloud plot is an effective tool for visualizing and interpreting global metabolomic data.
  • Hydrophilic metabolite profiling offers a promising avenue for early sepsis detection.
  • The described method enhances metabolite identification and data interpretation in metabolomics.