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Exploring spatially adjacent TFBS-clustered regions with Hi-C data

MOTIVATION: Transcription factor binding sites (TFBSs) are clustered in the human genome, forming the TFBS-clustered regions that regulate gene transcription, which requires dynamic chromatin configurations between promoters and distal regulatory elements. Here, we propose a regulatory model called...

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Detalles Bibliográficos
Autores principales: Chen, Hebing, Jiang, Shuai, Zhang, Zhuo, Li, Hao, Lu, Yiming, Bo, Xiaochen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860062/
https://www.ncbi.nlm.nih.gov/pubmed/28472433
http://dx.doi.org/10.1093/bioinformatics/btx282
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author Chen, Hebing
Jiang, Shuai
Zhang, Zhuo
Li, Hao
Lu, Yiming
Bo, Xiaochen
author_facet Chen, Hebing
Jiang, Shuai
Zhang, Zhuo
Li, Hao
Lu, Yiming
Bo, Xiaochen
author_sort Chen, Hebing
collection PubMed
description MOTIVATION: Transcription factor binding sites (TFBSs) are clustered in the human genome, forming the TFBS-clustered regions that regulate gene transcription, which requires dynamic chromatin configurations between promoters and distal regulatory elements. Here, we propose a regulatory model called spatially adjacent TFBS-clustered regions (SATs), in which TFBS-clustered regions are connected by spatial proximity as identified by high-resolution Hi-C data. RESULTS: TFBS-clustered regions forming SATs appeared less frequently in gene promoters than did isolated TFBS-clustered regions, whereas SATs as a whole appeared more frequently. These observations indicate that multiple distal TFBS-clustered regions combined to form SATs to regulate genes. Further examination confirmed that a substantial portion of genes regulated by SATs were located between the paired TFBS-clustered regions instead of the downstream. We reconstructed the chromosomal conformation of the H1 human embryonic stem cell line using the ShRec3D algorithm and proposed the SAT regulatory model. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-58600622018-03-23 Exploring spatially adjacent TFBS-clustered regions with Hi-C data Chen, Hebing Jiang, Shuai Zhang, Zhuo Li, Hao Lu, Yiming Bo, Xiaochen Bioinformatics Discovery Note MOTIVATION: Transcription factor binding sites (TFBSs) are clustered in the human genome, forming the TFBS-clustered regions that regulate gene transcription, which requires dynamic chromatin configurations between promoters and distal regulatory elements. Here, we propose a regulatory model called spatially adjacent TFBS-clustered regions (SATs), in which TFBS-clustered regions are connected by spatial proximity as identified by high-resolution Hi-C data. RESULTS: TFBS-clustered regions forming SATs appeared less frequently in gene promoters than did isolated TFBS-clustered regions, whereas SATs as a whole appeared more frequently. These observations indicate that multiple distal TFBS-clustered regions combined to form SATs to regulate genes. Further examination confirmed that a substantial portion of genes regulated by SATs were located between the paired TFBS-clustered regions instead of the downstream. We reconstructed the chromosomal conformation of the H1 human embryonic stem cell line using the ShRec3D algorithm and proposed the SAT regulatory model. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-09-01 2017-05-04 /pmc/articles/PMC5860062/ /pubmed/28472433 http://dx.doi.org/10.1093/bioinformatics/btx282 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Discovery Note
Chen, Hebing
Jiang, Shuai
Zhang, Zhuo
Li, Hao
Lu, Yiming
Bo, Xiaochen
Exploring spatially adjacent TFBS-clustered regions with Hi-C data
title Exploring spatially adjacent TFBS-clustered regions with Hi-C data
title_full Exploring spatially adjacent TFBS-clustered regions with Hi-C data
title_fullStr Exploring spatially adjacent TFBS-clustered regions with Hi-C data
title_full_unstemmed Exploring spatially adjacent TFBS-clustered regions with Hi-C data
title_short Exploring spatially adjacent TFBS-clustered regions with Hi-C data
title_sort exploring spatially adjacent tfbs-clustered regions with hi-c data
topic Discovery Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860062/
https://www.ncbi.nlm.nih.gov/pubmed/28472433
http://dx.doi.org/10.1093/bioinformatics/btx282
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