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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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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. |
format | Online Article Text |
id | pubmed-3289915 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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