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A uniform proteomics MS/MS analysis platform utilizing open XML file formats

The analysis of tandem mass (MS/MS) data to identify and quantify proteins is hampered by the heterogeneity of file formats at the raw spectral data, peptide identification, and protein identification levels. Different mass spectrometers output their raw spectral data in a variety of proprietary for...

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Detalles Bibliográficos
Autores principales: Keller, Andrew, Eng, Jimmy, Zhang, Ning, Li, Xiao-jun, Aebersold, Ruedi
Formato: Texto
Lenguaje:English
Publicado: 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1681455/
https://www.ncbi.nlm.nih.gov/pubmed/16729052
http://dx.doi.org/10.1038/msb4100024
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author Keller, Andrew
Eng, Jimmy
Zhang, Ning
Li, Xiao-jun
Aebersold, Ruedi
author_facet Keller, Andrew
Eng, Jimmy
Zhang, Ning
Li, Xiao-jun
Aebersold, Ruedi
author_sort Keller, Andrew
collection PubMed
description The analysis of tandem mass (MS/MS) data to identify and quantify proteins is hampered by the heterogeneity of file formats at the raw spectral data, peptide identification, and protein identification levels. Different mass spectrometers output their raw spectral data in a variety of proprietary formats, and alternative methods that assign peptides to MS/MS spectra and infer protein identifications from those peptide assignments each write their results in different formats. Here we describe an MS/MS analysis platform, the Trans-Proteomic Pipeline, which makes use of open XML file formats for storage of data at the raw spectral data, peptide, and protein levels. This platform enables uniform analysis and exchange of MS/MS data generated from a variety of different instruments, and assigned peptides using a variety of different database search programs. We demonstrate this by applying the pipeline to data sets generated by ThermoFinnigan LCQ, ABI 4700 MALDI-TOF/TOF, and Waters Q-TOF instruments, and searched in turn using SEQUEST, Mascot, and COMET.
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spelling pubmed-16814552007-01-25 A uniform proteomics MS/MS analysis platform utilizing open XML file formats Keller, Andrew Eng, Jimmy Zhang, Ning Li, Xiao-jun Aebersold, Ruedi Mol Syst Biol Report The analysis of tandem mass (MS/MS) data to identify and quantify proteins is hampered by the heterogeneity of file formats at the raw spectral data, peptide identification, and protein identification levels. Different mass spectrometers output their raw spectral data in a variety of proprietary formats, and alternative methods that assign peptides to MS/MS spectra and infer protein identifications from those peptide assignments each write their results in different formats. Here we describe an MS/MS analysis platform, the Trans-Proteomic Pipeline, which makes use of open XML file formats for storage of data at the raw spectral data, peptide, and protein levels. This platform enables uniform analysis and exchange of MS/MS data generated from a variety of different instruments, and assigned peptides using a variety of different database search programs. We demonstrate this by applying the pipeline to data sets generated by ThermoFinnigan LCQ, ABI 4700 MALDI-TOF/TOF, and Waters Q-TOF instruments, and searched in turn using SEQUEST, Mascot, and COMET. 2005-08-02 /pmc/articles/PMC1681455/ /pubmed/16729052 http://dx.doi.org/10.1038/msb4100024 Text en Copyright © 2005, EMBO and Nature Publishing Group
spellingShingle Report
Keller, Andrew
Eng, Jimmy
Zhang, Ning
Li, Xiao-jun
Aebersold, Ruedi
A uniform proteomics MS/MS analysis platform utilizing open XML file formats
title A uniform proteomics MS/MS analysis platform utilizing open XML file formats
title_full A uniform proteomics MS/MS analysis platform utilizing open XML file formats
title_fullStr A uniform proteomics MS/MS analysis platform utilizing open XML file formats
title_full_unstemmed A uniform proteomics MS/MS analysis platform utilizing open XML file formats
title_short A uniform proteomics MS/MS analysis platform utilizing open XML file formats
title_sort uniform proteomics ms/ms analysis platform utilizing open xml file formats
topic Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1681455/
https://www.ncbi.nlm.nih.gov/pubmed/16729052
http://dx.doi.org/10.1038/msb4100024
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