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MetExtract: a new software tool for the automated comprehensive extraction of metabolite-derived LC/MS signals in metabolomics research

Motivation: Liquid chromatography–mass spectrometry (LC/MS) is a key technique in metabolomics. Since the efficient assignment of MS signals to true biological metabolites becomes feasible in combination with in vivo stable isotopic labelling, our aim was to provide a new software tool for this purp...

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Detalles Bibliográficos
Autores principales: Bueschl, Christoph, Kluger, Bernhard, Berthiller, Franz, Lirk, Gerald, Winkler, Stephan, Krska, Rudolf, Schuhmacher, Rainer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3289915/
https://www.ncbi.nlm.nih.gov/pubmed/22238263
http://dx.doi.org/10.1093/bioinformatics/bts012
Descripción
Sumario:Motivation: Liquid chromatography–mass spectrometry (LC/MS) is a key technique in metabolomics. Since the efficient assignment of MS signals to true biological metabolites becomes feasible in combination with in vivo stable isotopic labelling, our aim was to provide a new software tool for this purpose. Results: An algorithm and a program (MetExtract) have been developed to search for metabolites in in vivo labelled biological samples. The algorithm makes use of the chromatographic characteristics of the LC/MS data and detects MS peaks fulfilling the criteria of stable isotopic labelling. As a result of all calculations, the algorithm specifies a list of m/z values, the corresponding number of atoms of the labelling element (e.g. carbon) together with retention time and extracted adduct-, fragment- and polymer ions. Its function was evaluated using native (12)C- and uniformly (13)C-labelled standard substances. Availability: MetExtract is available free of charge and warranty at http://code.google.com/p/metextract/. Precompiled executables are available for Windows operating systems. Contact: rainer.schuhmacher@boku.ac.at Supplementary information: Supplementary data are available at Bioinformatics online.