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

Dudek, Christian-Alexander
; 
Schlicker, Lisa
; 
Hiller, Karsten
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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.
Citation
Methods Mol Biol. 2020;2088:17-32. doi: 10.1007/978-1-0716-0159-4_2.
Affiliation
HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany.
Publisher
Springer Nature
Journal
Methods in molecular biology (Clifton, N.J.)
URI
http://hdl.handle.net/10033/622207
DOI
10.1007/978-1-0716-0159-4_2
PubMed ID
31893368
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Article
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en
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1940-6029
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Attribution-NonCommercial-ShareAlike 4.0 International
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publications of the scientific administration (GFW)