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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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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 |
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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 |
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