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A first dataset toward a standardized community-driven global mapping of the human immunopeptidome

We present the first standardized HLA peptidomics dataset generated by the immunopeptidomics community. The dataset is composed of native HLA class I peptides as well as synthetic HLA class II peptides that were acquired in data-dependent acquisition mode using multiple types of mass spectrometers....

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Detalles Bibliográficos
Autores principales: Faridi, Pouya, Aebersold, Ruedi, Caron, Etienne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4773481/
https://www.ncbi.nlm.nih.gov/pubmed/26958639
http://dx.doi.org/10.1016/j.dib.2016.02.016
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author Faridi, Pouya
Aebersold, Ruedi
Caron, Etienne
author_facet Faridi, Pouya
Aebersold, Ruedi
Caron, Etienne
author_sort Faridi, Pouya
collection PubMed
description We present the first standardized HLA peptidomics dataset generated by the immunopeptidomics community. The dataset is composed of native HLA class I peptides as well as synthetic HLA class II peptides that were acquired in data-dependent acquisition mode using multiple types of mass spectrometers. All laboratories used the spiked-in landmark iRT peptides for retention time normalization and data analysis. The mass spectrometric data were deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD001872. The generated data were used to build HLA allele-specific peptide spectral and assay libraries, which were stored in the SWATHAtlas database. Data presented here are described in more detail in the original eLife article entitled ‘An open-source computational and data resource to analyze digital maps of immunopeptidomes’.
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spelling pubmed-47734812016-03-08 A first dataset toward a standardized community-driven global mapping of the human immunopeptidome Faridi, Pouya Aebersold, Ruedi Caron, Etienne Data Brief Data Article We present the first standardized HLA peptidomics dataset generated by the immunopeptidomics community. The dataset is composed of native HLA class I peptides as well as synthetic HLA class II peptides that were acquired in data-dependent acquisition mode using multiple types of mass spectrometers. All laboratories used the spiked-in landmark iRT peptides for retention time normalization and data analysis. The mass spectrometric data were deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD001872. The generated data were used to build HLA allele-specific peptide spectral and assay libraries, which were stored in the SWATHAtlas database. Data presented here are described in more detail in the original eLife article entitled ‘An open-source computational and data resource to analyze digital maps of immunopeptidomes’. Elsevier 2016-02-12 /pmc/articles/PMC4773481/ /pubmed/26958639 http://dx.doi.org/10.1016/j.dib.2016.02.016 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Faridi, Pouya
Aebersold, Ruedi
Caron, Etienne
A first dataset toward a standardized community-driven global mapping of the human immunopeptidome
title A first dataset toward a standardized community-driven global mapping of the human immunopeptidome
title_full A first dataset toward a standardized community-driven global mapping of the human immunopeptidome
title_fullStr A first dataset toward a standardized community-driven global mapping of the human immunopeptidome
title_full_unstemmed A first dataset toward a standardized community-driven global mapping of the human immunopeptidome
title_short A first dataset toward a standardized community-driven global mapping of the human immunopeptidome
title_sort first dataset toward a standardized community-driven global mapping of the human immunopeptidome
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4773481/
https://www.ncbi.nlm.nih.gov/pubmed/26958639
http://dx.doi.org/10.1016/j.dib.2016.02.016
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