• Media type: E-Article
  • Title: MetExtract: a new software tool for the automated comprehensive extraction of metabolite-derived LC/MS signals in metabolomics research
  • Contributor: Bueschl, Christoph; Kluger, Bernhard; Berthiller, Franz; Lirk, Gerald; Winkler, Stephan; Krska, Rudolf; Schuhmacher, Rainer
  • imprint: Oxford University Press (OUP), 2012
  • Published in: Bioinformatics, 28 (2012) 5, Seite 736-738
  • Language: English
  • DOI: 10.1093/bioinformatics/bts012
  • ISSN: 1367-4811; 1367-4803
  • Origination:
  • Footnote:
  • Description: <jats:title>Abstract</jats:title> <jats:p>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.</jats:p> <jats:p>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 12C- and uniformly 13C-labelled standard substances.</jats:p> <jats:p>Availability: MetExtract is available free of charge and warranty at http://code.google.com/p/metextract/. Precompiled executables are available for Windows operating systems.</jats:p> <jats:p>Contact:  rainer.schuhmacher@boku.ac.at</jats:p> <jats:p>Supplementary information:  Supplementary data are available at Bioinformatics online.</jats:p>
  • Access State: Open Access