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

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Metabolic Flux Analysis in Eukaryotic Cells

Part of the book series: Methods in Molecular Biology ((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.

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Author information

Authors and Affiliations

  1. Department of Bioinformatics and Biochemistry, Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany

    Christian-Alexander Dudek, Lisa Schlicker & Karsten Hiller

  2. Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany

    Karsten Hiller

Authors
  1. Christian-Alexander Dudek
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  2. Lisa Schlicker
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  3. Karsten Hiller
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Corresponding author

Correspondence to Karsten Hiller .

Editor information

Editors and Affiliations

  1. Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA

    Deepak Nagrath

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Dudek, CA., Schlicker, L., Hiller, K. (2020). Non-Targeted Mass Isotopolome Analysis Using Stable Isotope Patterns to Identify Metabolic Changes. In: Nagrath, D. (eds) Metabolic Flux Analysis in Eukaryotic Cells. Methods in Molecular Biology, vol 2088. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0159-4_2

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  • DOI: https://doi.org/10.1007/978-1-0716-0159-4_2

  • Published:

  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-0158-7

  • Online ISBN: 978-1-0716-0159-4

  • eBook Packages: Springer Protocols

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