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Analysis of human acetylation stoichiometry defines mechanistic constraints on protein regulation
Lysine acetylation is a reversible posttranslational modification that occurs at thousands of sites on human proteins. However, the stoichiometry of acetylation remains poorly characterized, and is important for understanding acetylation-dependent mechanisms of protein regulation. Here we provide ac...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6401094/ https://www.ncbi.nlm.nih.gov/pubmed/30837475 http://dx.doi.org/10.1038/s41467-019-09024-0 |
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author | Hansen, Bogi Karbech Gupta, Rajat Baldus, Linda Lyon, David Narita, Takeo Lammers, Michael Choudhary, Chunaram Weinert, Brian T. |
author_facet | Hansen, Bogi Karbech Gupta, Rajat Baldus, Linda Lyon, David Narita, Takeo Lammers, Michael Choudhary, Chunaram Weinert, Brian T. |
author_sort | Hansen, Bogi Karbech |
collection | PubMed |
description | Lysine acetylation is a reversible posttranslational modification that occurs at thousands of sites on human proteins. However, the stoichiometry of acetylation remains poorly characterized, and is important for understanding acetylation-dependent mechanisms of protein regulation. Here we provide accurate, validated measurements of acetylation stoichiometry at 6829 sites on 2535 proteins in human cervical cancer (HeLa) cells. Most acetylation occurs at very low stoichiometry (median 0.02%), whereas high stoichiometry acetylation (>1%) occurs on nuclear proteins involved in gene transcription and on acetyltransferases. Analysis of acetylation copy numbers show that histones harbor the majority of acetylated lysine residues in human cells. Class I deacetylases target a greater proportion of high stoichiometry acetylation compared to SIRT1 and HDAC6. The acetyltransferases CBP and p300 catalyze a majority (65%) of high stoichiometry acetylation. This resource dataset provides valuable information for evaluating the impact of individual acetylation sites on protein function and for building accurate mechanistic models. |
format | Online Article Text |
id | pubmed-6401094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64010942019-03-07 Analysis of human acetylation stoichiometry defines mechanistic constraints on protein regulation Hansen, Bogi Karbech Gupta, Rajat Baldus, Linda Lyon, David Narita, Takeo Lammers, Michael Choudhary, Chunaram Weinert, Brian T. Nat Commun Article Lysine acetylation is a reversible posttranslational modification that occurs at thousands of sites on human proteins. However, the stoichiometry of acetylation remains poorly characterized, and is important for understanding acetylation-dependent mechanisms of protein regulation. Here we provide accurate, validated measurements of acetylation stoichiometry at 6829 sites on 2535 proteins in human cervical cancer (HeLa) cells. Most acetylation occurs at very low stoichiometry (median 0.02%), whereas high stoichiometry acetylation (>1%) occurs on nuclear proteins involved in gene transcription and on acetyltransferases. Analysis of acetylation copy numbers show that histones harbor the majority of acetylated lysine residues in human cells. Class I deacetylases target a greater proportion of high stoichiometry acetylation compared to SIRT1 and HDAC6. The acetyltransferases CBP and p300 catalyze a majority (65%) of high stoichiometry acetylation. This resource dataset provides valuable information for evaluating the impact of individual acetylation sites on protein function and for building accurate mechanistic models. Nature Publishing Group UK 2019-03-05 /pmc/articles/PMC6401094/ /pubmed/30837475 http://dx.doi.org/10.1038/s41467-019-09024-0 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Hansen, Bogi Karbech Gupta, Rajat Baldus, Linda Lyon, David Narita, Takeo Lammers, Michael Choudhary, Chunaram Weinert, Brian T. Analysis of human acetylation stoichiometry defines mechanistic constraints on protein regulation |
title | Analysis of human acetylation stoichiometry defines mechanistic constraints on protein regulation |
title_full | Analysis of human acetylation stoichiometry defines mechanistic constraints on protein regulation |
title_fullStr | Analysis of human acetylation stoichiometry defines mechanistic constraints on protein regulation |
title_full_unstemmed | Analysis of human acetylation stoichiometry defines mechanistic constraints on protein regulation |
title_short | Analysis of human acetylation stoichiometry defines mechanistic constraints on protein regulation |
title_sort | analysis of human acetylation stoichiometry defines mechanistic constraints on protein regulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6401094/ https://www.ncbi.nlm.nih.gov/pubmed/30837475 http://dx.doi.org/10.1038/s41467-019-09024-0 |
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