Cargando…
Identification of protein complexes that bind to histone H3 combinatorial modifications using super-SILAC and weighted correlation network analysis
The large number of chemical modifications that are found on the histone proteins of eukaryotic cells form multiple complex combinations, which can act as recognition signals for reader proteins. We have used peptide capture in conjunction with super-SILAC quantification to carry out an unbiased hig...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4330348/ https://www.ncbi.nlm.nih.gov/pubmed/25605797 http://dx.doi.org/10.1093/nar/gku1350 |
_version_ | 1782357569436647424 |
---|---|
author | Kunowska, Natalia Rotival, Maxime Yu, Lu Choudhary, Jyoti Dillon, Niall |
author_facet | Kunowska, Natalia Rotival, Maxime Yu, Lu Choudhary, Jyoti Dillon, Niall |
author_sort | Kunowska, Natalia |
collection | PubMed |
description | The large number of chemical modifications that are found on the histone proteins of eukaryotic cells form multiple complex combinations, which can act as recognition signals for reader proteins. We have used peptide capture in conjunction with super-SILAC quantification to carry out an unbiased high-throughput analysis of the composition of protein complexes that bind to histone H3K9/S10 and H3K27/S28 methyl-phospho modifications. The accurate quantification allowed us to perform Weighted correlation network analysis (WGCNA) to obtain a systems-level view of the histone H3 histone tail interactome. The analysis reveals the underlying modularity of the histone reader network with members of nuclear complexes exhibiting very similar binding signatures, which suggests that many proteins bind to histones as part of pre-organized complexes. Our results identify a novel complex that binds to the double H3K9me3/S10ph modification, which includes Atrx, Daxx and members of the FACT complex. The super-SILAC approach allows comparison of binding to multiple peptides with different combinations of modifications and the resolution of the WGCNA analysis is enhanced by maximizing the number of combinations that are compared. This makes it a useful approach for assessing the effects of changes in histone modification combinations on the composition and function of bound complexes. |
format | Online Article Text |
id | pubmed-4330348 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43303482015-03-18 Identification of protein complexes that bind to histone H3 combinatorial modifications using super-SILAC and weighted correlation network analysis Kunowska, Natalia Rotival, Maxime Yu, Lu Choudhary, Jyoti Dillon, Niall Nucleic Acids Res Gene regulation, Chromatin and Epigenetics The large number of chemical modifications that are found on the histone proteins of eukaryotic cells form multiple complex combinations, which can act as recognition signals for reader proteins. We have used peptide capture in conjunction with super-SILAC quantification to carry out an unbiased high-throughput analysis of the composition of protein complexes that bind to histone H3K9/S10 and H3K27/S28 methyl-phospho modifications. The accurate quantification allowed us to perform Weighted correlation network analysis (WGCNA) to obtain a systems-level view of the histone H3 histone tail interactome. The analysis reveals the underlying modularity of the histone reader network with members of nuclear complexes exhibiting very similar binding signatures, which suggests that many proteins bind to histones as part of pre-organized complexes. Our results identify a novel complex that binds to the double H3K9me3/S10ph modification, which includes Atrx, Daxx and members of the FACT complex. The super-SILAC approach allows comparison of binding to multiple peptides with different combinations of modifications and the resolution of the WGCNA analysis is enhanced by maximizing the number of combinations that are compared. This makes it a useful approach for assessing the effects of changes in histone modification combinations on the composition and function of bound complexes. Oxford University Press 2015-02-18 2015-01-20 /pmc/articles/PMC4330348/ /pubmed/25605797 http://dx.doi.org/10.1093/nar/gku1350 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Gene regulation, Chromatin and Epigenetics Kunowska, Natalia Rotival, Maxime Yu, Lu Choudhary, Jyoti Dillon, Niall Identification of protein complexes that bind to histone H3 combinatorial modifications using super-SILAC and weighted correlation network analysis |
title | Identification of protein complexes that bind to histone H3 combinatorial modifications using super-SILAC and weighted correlation network analysis |
title_full | Identification of protein complexes that bind to histone H3 combinatorial modifications using super-SILAC and weighted correlation network analysis |
title_fullStr | Identification of protein complexes that bind to histone H3 combinatorial modifications using super-SILAC and weighted correlation network analysis |
title_full_unstemmed | Identification of protein complexes that bind to histone H3 combinatorial modifications using super-SILAC and weighted correlation network analysis |
title_short | Identification of protein complexes that bind to histone H3 combinatorial modifications using super-SILAC and weighted correlation network analysis |
title_sort | identification of protein complexes that bind to histone h3 combinatorial modifications using super-silac and weighted correlation network analysis |
topic | Gene regulation, Chromatin and Epigenetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4330348/ https://www.ncbi.nlm.nih.gov/pubmed/25605797 http://dx.doi.org/10.1093/nar/gku1350 |
work_keys_str_mv | AT kunowskanatalia identificationofproteincomplexesthatbindtohistoneh3combinatorialmodificationsusingsupersilacandweightedcorrelationnetworkanalysis AT rotivalmaxime identificationofproteincomplexesthatbindtohistoneh3combinatorialmodificationsusingsupersilacandweightedcorrelationnetworkanalysis AT yulu identificationofproteincomplexesthatbindtohistoneh3combinatorialmodificationsusingsupersilacandweightedcorrelationnetworkanalysis AT choudharyjyoti identificationofproteincomplexesthatbindtohistoneh3combinatorialmodificationsusingsupersilacandweightedcorrelationnetworkanalysis AT dillonniall identificationofproteincomplexesthatbindtohistoneh3combinatorialmodificationsusingsupersilacandweightedcorrelationnetworkanalysis |