Cargando…

An integrative analysis of TFBS-clustered regions reveals new transcriptional regulation models on the accessible chromatin landscape

DNase I hypersensitive sites (DHSs) define the accessible chromatin landscape and have revolutionised the discovery of distinct cis-regulatory elements in diverse organisms. Here, we report the first comprehensive map of human transcription factor binding site (TFBS)-clustered regions using Gaussian...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Hebing, Li, Hao, Liu, Feng, Zheng, Xiaofei, Wang, Shengqi, Bo, Xiaochen, Shu, Wenjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4329551/
https://www.ncbi.nlm.nih.gov/pubmed/25682954
http://dx.doi.org/10.1038/srep08465
_version_ 1782357448400568320
author Chen, Hebing
Li, Hao
Liu, Feng
Zheng, Xiaofei
Wang, Shengqi
Bo, Xiaochen
Shu, Wenjie
author_facet Chen, Hebing
Li, Hao
Liu, Feng
Zheng, Xiaofei
Wang, Shengqi
Bo, Xiaochen
Shu, Wenjie
author_sort Chen, Hebing
collection PubMed
description DNase I hypersensitive sites (DHSs) define the accessible chromatin landscape and have revolutionised the discovery of distinct cis-regulatory elements in diverse organisms. Here, we report the first comprehensive map of human transcription factor binding site (TFBS)-clustered regions using Gaussian kernel density estimation based on genome-wide mapping of the TFBSs in 133 human cell and tissue types. Approximately 1.6 million distinct TFBS-clustered regions, collectively spanning 27.7% of the human genome, were discovered. The TFBS complexity assigned to each TFBS-clustered region was highly correlated with genomic location, cell selectivity, evolutionary conservation, sequence features, and functional roles. An integrative analysis of these regions using ENCODE data revealed transcription factor occupancy, transcriptional activity, histone modification, DNA methylation, and chromatin structures that varied based on TFBS complexity. Furthermore, we found that we could recreate lineage-branching relationships by simple clustering of the TFBS-clustered regions from terminally differentiated cells. Based on these findings, a model of transcriptional regulation determined by TFBS complexity is proposed.
format Online
Article
Text
id pubmed-4329551
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-43295512015-02-23 An integrative analysis of TFBS-clustered regions reveals new transcriptional regulation models on the accessible chromatin landscape Chen, Hebing Li, Hao Liu, Feng Zheng, Xiaofei Wang, Shengqi Bo, Xiaochen Shu, Wenjie Sci Rep Article DNase I hypersensitive sites (DHSs) define the accessible chromatin landscape and have revolutionised the discovery of distinct cis-regulatory elements in diverse organisms. Here, we report the first comprehensive map of human transcription factor binding site (TFBS)-clustered regions using Gaussian kernel density estimation based on genome-wide mapping of the TFBSs in 133 human cell and tissue types. Approximately 1.6 million distinct TFBS-clustered regions, collectively spanning 27.7% of the human genome, were discovered. The TFBS complexity assigned to each TFBS-clustered region was highly correlated with genomic location, cell selectivity, evolutionary conservation, sequence features, and functional roles. An integrative analysis of these regions using ENCODE data revealed transcription factor occupancy, transcriptional activity, histone modification, DNA methylation, and chromatin structures that varied based on TFBS complexity. Furthermore, we found that we could recreate lineage-branching relationships by simple clustering of the TFBS-clustered regions from terminally differentiated cells. Based on these findings, a model of transcriptional regulation determined by TFBS complexity is proposed. Nature Publishing Group 2015-02-16 /pmc/articles/PMC4329551/ /pubmed/25682954 http://dx.doi.org/10.1038/srep08465 Text en Copyright © 2015, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Chen, Hebing
Li, Hao
Liu, Feng
Zheng, Xiaofei
Wang, Shengqi
Bo, Xiaochen
Shu, Wenjie
An integrative analysis of TFBS-clustered regions reveals new transcriptional regulation models on the accessible chromatin landscape
title An integrative analysis of TFBS-clustered regions reveals new transcriptional regulation models on the accessible chromatin landscape
title_full An integrative analysis of TFBS-clustered regions reveals new transcriptional regulation models on the accessible chromatin landscape
title_fullStr An integrative analysis of TFBS-clustered regions reveals new transcriptional regulation models on the accessible chromatin landscape
title_full_unstemmed An integrative analysis of TFBS-clustered regions reveals new transcriptional regulation models on the accessible chromatin landscape
title_short An integrative analysis of TFBS-clustered regions reveals new transcriptional regulation models on the accessible chromatin landscape
title_sort integrative analysis of tfbs-clustered regions reveals new transcriptional regulation models on the accessible chromatin landscape
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4329551/
https://www.ncbi.nlm.nih.gov/pubmed/25682954
http://dx.doi.org/10.1038/srep08465
work_keys_str_mv AT chenhebing anintegrativeanalysisoftfbsclusteredregionsrevealsnewtranscriptionalregulationmodelsontheaccessiblechromatinlandscape
AT lihao anintegrativeanalysisoftfbsclusteredregionsrevealsnewtranscriptionalregulationmodelsontheaccessiblechromatinlandscape
AT liufeng anintegrativeanalysisoftfbsclusteredregionsrevealsnewtranscriptionalregulationmodelsontheaccessiblechromatinlandscape
AT zhengxiaofei anintegrativeanalysisoftfbsclusteredregionsrevealsnewtranscriptionalregulationmodelsontheaccessiblechromatinlandscape
AT wangshengqi anintegrativeanalysisoftfbsclusteredregionsrevealsnewtranscriptionalregulationmodelsontheaccessiblechromatinlandscape
AT boxiaochen anintegrativeanalysisoftfbsclusteredregionsrevealsnewtranscriptionalregulationmodelsontheaccessiblechromatinlandscape
AT shuwenjie anintegrativeanalysisoftfbsclusteredregionsrevealsnewtranscriptionalregulationmodelsontheaccessiblechromatinlandscape
AT chenhebing integrativeanalysisoftfbsclusteredregionsrevealsnewtranscriptionalregulationmodelsontheaccessiblechromatinlandscape
AT lihao integrativeanalysisoftfbsclusteredregionsrevealsnewtranscriptionalregulationmodelsontheaccessiblechromatinlandscape
AT liufeng integrativeanalysisoftfbsclusteredregionsrevealsnewtranscriptionalregulationmodelsontheaccessiblechromatinlandscape
AT zhengxiaofei integrativeanalysisoftfbsclusteredregionsrevealsnewtranscriptionalregulationmodelsontheaccessiblechromatinlandscape
AT wangshengqi integrativeanalysisoftfbsclusteredregionsrevealsnewtranscriptionalregulationmodelsontheaccessiblechromatinlandscape
AT boxiaochen integrativeanalysisoftfbsclusteredregionsrevealsnewtranscriptionalregulationmodelsontheaccessiblechromatinlandscape
AT shuwenjie integrativeanalysisoftfbsclusteredregionsrevealsnewtranscriptionalregulationmodelsontheaccessiblechromatinlandscape