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Non-Targeted Mass Isotopolome Analysis Using Stable Isotope Patterns to Identify Metabolic Changes

  • Christian-Alexander Dudek
  • Lisa Schlicker
  • Karsten HillerEmail author
Protocol
Part of the Methods in Molecular Biology book series (MIMB, volume 2088)

Abstract

Gas chromatography coupled with mass spectrometry can provide an extensive overview of the metabolic state of a biological system. Analysis of raw mass spectrometry data requires powerful data processing software to generate interpretable results. Here we describe a data processing workflow to generate metabolite levels, mass isotopomer distribution, similarity and variability analysis of metabolites in a nontargeted manner, using stable isotope labeling. Using our data analysis software, no bioinformatic or programming background is needed to generate results from raw mass spectrometry data.

Key words

Gas chromatography Mass spectrometry GCMS Data analysis Metabolism Mass isotopomer distribution Stable isotope labeling Nontargeted metabolomics 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2020

Authors and Affiliations

  • Christian-Alexander Dudek
    • 1
  • Lisa Schlicker
    • 1
  • Karsten Hiller
    • 1
    • 2
    Email author
  1. 1.Department of Bioinformatics and Biochemistry, Braunschweig Integrated Centre of Systems Biology (BRICS)Technische Universität BraunschweigBraunschweigGermany
  2. 2.Computational Biology of Infection ResearchHelmholtz Centre for Infection ResearchBraunschweigGermany

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