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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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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
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author Bueschl, Christoph
Kluger, Bernhard
Berthiller, Franz
Lirk, Gerald
Winkler, Stephan
Krska, Rudolf
Schuhmacher, Rainer
author_facet Bueschl, Christoph
Kluger, Bernhard
Berthiller, Franz
Lirk, Gerald
Winkler, Stephan
Krska, Rudolf
Schuhmacher, Rainer
author_sort Bueschl, Christoph
collection PubMed
description 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.
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spelling pubmed-32899152012-02-29 MetExtract: a new software tool for the automated comprehensive extraction of metabolite-derived LC/MS signals in metabolomics research Bueschl, Christoph Kluger, Bernhard Berthiller, Franz Lirk, Gerald Winkler, Stephan Krska, Rudolf Schuhmacher, Rainer Bioinformatics Applications Note 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. Oxford University Press 2012-03-01 2012-01-11 /pmc/articles/PMC3289915/ /pubmed/22238263 http://dx.doi.org/10.1093/bioinformatics/bts012 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Bueschl, Christoph
Kluger, Bernhard
Berthiller, Franz
Lirk, Gerald
Winkler, Stephan
Krska, Rudolf
Schuhmacher, Rainer
MetExtract: a new software tool for the automated comprehensive extraction of metabolite-derived LC/MS signals in metabolomics research
title MetExtract: a new software tool for the automated comprehensive extraction of metabolite-derived LC/MS signals in metabolomics research
title_full MetExtract: a new software tool for the automated comprehensive extraction of metabolite-derived LC/MS signals in metabolomics research
title_fullStr MetExtract: a new software tool for the automated comprehensive extraction of metabolite-derived LC/MS signals in metabolomics research
title_full_unstemmed MetExtract: a new software tool for the automated comprehensive extraction of metabolite-derived LC/MS signals in metabolomics research
title_short MetExtract: a new software tool for the automated comprehensive extraction of metabolite-derived LC/MS signals in metabolomics research
title_sort metextract: a new software tool for the automated comprehensive extraction of metabolite-derived lc/ms signals in metabolomics research
topic Applications Note
url 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
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