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MS_HistoneDB, a manually curated resource for proteomic analysis of human and mouse histones
BACKGROUND: Histones and histone variants are essential components of the nuclear chromatin. While mass spectrometry has opened a large window to their characterization and functional studies, their identification from proteomic data remains challenging. Indeed, the current interpretation of mass sp...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5223428/ https://www.ncbi.nlm.nih.gov/pubmed/28096900 http://dx.doi.org/10.1186/s13072-016-0109-x |
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author | El Kennani, Sara Adrait, Annie Shaytan, Alexey K. Khochbin, Saadi Bruley, Christophe Panchenko, Anna R. Landsman, David Pflieger, Delphine Govin, Jérôme |
author_facet | El Kennani, Sara Adrait, Annie Shaytan, Alexey K. Khochbin, Saadi Bruley, Christophe Panchenko, Anna R. Landsman, David Pflieger, Delphine Govin, Jérôme |
author_sort | El Kennani, Sara |
collection | PubMed |
description | BACKGROUND: Histones and histone variants are essential components of the nuclear chromatin. While mass spectrometry has opened a large window to their characterization and functional studies, their identification from proteomic data remains challenging. Indeed, the current interpretation of mass spectrometry data relies on public databases which are either not exhaustive (Swiss-Prot) or contain many redundant entries (UniProtKB or NCBI). Currently, no protein database is ideally suited for the analysis of histones and the complex array of mammalian histone variants. RESULTS: We propose two proteomics-oriented manually curated databases for mouse and human histone variants. We manually curated >1700 gene, transcript and protein entries to produce a non-redundant list of 83 mouse and 85 human histones. These entries were annotated in accordance with the current nomenclature and unified with the “HistoneDB2.0 with Variants” database. This resource is provided in a format that can be directly read by programs used for mass spectrometry data interpretation. In addition, it was used to interpret mass spectrometry data acquired on histones extracted from mouse testis. Several histone variants, which had so far only been inferred by homology or detected at the RNA level, were detected by mass spectrometry, confirming the existence of their protein form. CONCLUSIONS: Mouse and human histone entries were collected from different databases and subsequently curated to produce a non-redundant protein-centric resource, MS_HistoneDB. It is dedicated to the proteomic study of histones in mouse and human and will hopefully facilitate the identification and functional study of histone variants. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13072-016-0109-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5223428 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52234282017-01-17 MS_HistoneDB, a manually curated resource for proteomic analysis of human and mouse histones El Kennani, Sara Adrait, Annie Shaytan, Alexey K. Khochbin, Saadi Bruley, Christophe Panchenko, Anna R. Landsman, David Pflieger, Delphine Govin, Jérôme Epigenetics Chromatin Methodology BACKGROUND: Histones and histone variants are essential components of the nuclear chromatin. While mass spectrometry has opened a large window to their characterization and functional studies, their identification from proteomic data remains challenging. Indeed, the current interpretation of mass spectrometry data relies on public databases which are either not exhaustive (Swiss-Prot) or contain many redundant entries (UniProtKB or NCBI). Currently, no protein database is ideally suited for the analysis of histones and the complex array of mammalian histone variants. RESULTS: We propose two proteomics-oriented manually curated databases for mouse and human histone variants. We manually curated >1700 gene, transcript and protein entries to produce a non-redundant list of 83 mouse and 85 human histones. These entries were annotated in accordance with the current nomenclature and unified with the “HistoneDB2.0 with Variants” database. This resource is provided in a format that can be directly read by programs used for mass spectrometry data interpretation. In addition, it was used to interpret mass spectrometry data acquired on histones extracted from mouse testis. Several histone variants, which had so far only been inferred by homology or detected at the RNA level, were detected by mass spectrometry, confirming the existence of their protein form. CONCLUSIONS: Mouse and human histone entries were collected from different databases and subsequently curated to produce a non-redundant protein-centric resource, MS_HistoneDB. It is dedicated to the proteomic study of histones in mouse and human and will hopefully facilitate the identification and functional study of histone variants. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13072-016-0109-x) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-10 /pmc/articles/PMC5223428/ /pubmed/28096900 http://dx.doi.org/10.1186/s13072-016-0109-x Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology El Kennani, Sara Adrait, Annie Shaytan, Alexey K. Khochbin, Saadi Bruley, Christophe Panchenko, Anna R. Landsman, David Pflieger, Delphine Govin, Jérôme MS_HistoneDB, a manually curated resource for proteomic analysis of human and mouse histones |
title | MS_HistoneDB, a manually curated resource for proteomic analysis of human and mouse histones |
title_full | MS_HistoneDB, a manually curated resource for proteomic analysis of human and mouse histones |
title_fullStr | MS_HistoneDB, a manually curated resource for proteomic analysis of human and mouse histones |
title_full_unstemmed | MS_HistoneDB, a manually curated resource for proteomic analysis of human and mouse histones |
title_short | MS_HistoneDB, a manually curated resource for proteomic analysis of human and mouse histones |
title_sort | ms_histonedb, a manually curated resource for proteomic analysis of human and mouse histones |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5223428/ https://www.ncbi.nlm.nih.gov/pubmed/28096900 http://dx.doi.org/10.1186/s13072-016-0109-x |
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