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Predicting chromatin organization using histone marks

Genome-wide mapping of three dimensional chromatin organization is an important yet technically challenging task. To aid experimental effort and to understand the determinants of long-range chromatin interactions, we have developed a computational model integrating Hi-C and histone mark ChIP-seq dat...

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Detalles Bibliográficos
Autores principales: Huang, Jialiang, Marco, Eugenio, Pinello, Luca, Yuan, Guo-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4549084/
https://www.ncbi.nlm.nih.gov/pubmed/26272203
http://dx.doi.org/10.1186/s13059-015-0740-z
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author Huang, Jialiang
Marco, Eugenio
Pinello, Luca
Yuan, Guo-Cheng
author_facet Huang, Jialiang
Marco, Eugenio
Pinello, Luca
Yuan, Guo-Cheng
author_sort Huang, Jialiang
collection PubMed
description Genome-wide mapping of three dimensional chromatin organization is an important yet technically challenging task. To aid experimental effort and to understand the determinants of long-range chromatin interactions, we have developed a computational model integrating Hi-C and histone mark ChIP-seq data to predict two important features of chromatin organization: chromatin interaction hubs and topologically associated domain (TAD) boundaries. Our model accurately and robustly predicts these features across datasets and cell types. Cell-type specific histone mark information is required for prediction of chromatin interaction hubs but not for TAD boundaries. Our predictions provide a useful guide for the exploration of chromatin organization. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0740-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-45490842015-08-26 Predicting chromatin organization using histone marks Huang, Jialiang Marco, Eugenio Pinello, Luca Yuan, Guo-Cheng Genome Biol Method Genome-wide mapping of three dimensional chromatin organization is an important yet technically challenging task. To aid experimental effort and to understand the determinants of long-range chromatin interactions, we have developed a computational model integrating Hi-C and histone mark ChIP-seq data to predict two important features of chromatin organization: chromatin interaction hubs and topologically associated domain (TAD) boundaries. Our model accurately and robustly predicts these features across datasets and cell types. Cell-type specific histone mark information is required for prediction of chromatin interaction hubs but not for TAD boundaries. Our predictions provide a useful guide for the exploration of chromatin organization. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0740-z) contains supplementary material, which is available to authorized users. BioMed Central 2015-08-14 2015 /pmc/articles/PMC4549084/ /pubmed/26272203 http://dx.doi.org/10.1186/s13059-015-0740-z Text en © Huang et al. 2015 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 Method
Huang, Jialiang
Marco, Eugenio
Pinello, Luca
Yuan, Guo-Cheng
Predicting chromatin organization using histone marks
title Predicting chromatin organization using histone marks
title_full Predicting chromatin organization using histone marks
title_fullStr Predicting chromatin organization using histone marks
title_full_unstemmed Predicting chromatin organization using histone marks
title_short Predicting chromatin organization using histone marks
title_sort predicting chromatin organization using histone marks
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4549084/
https://www.ncbi.nlm.nih.gov/pubmed/26272203
http://dx.doi.org/10.1186/s13059-015-0740-z
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