Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783307939906322432 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5860062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chenhebing exploringspatiallyadjacenttfbsclusteredregionswithhicdata AT jiangshuai exploringspatiallyadjacenttfbsclusteredregionswithhicdata AT zhangzhuo exploringspatiallyadjacenttfbsclusteredregionswithhicdata AT lihao exploringspatiallyadjacenttfbsclusteredregionswithhicdata AT luyiming exploringspatiallyadjacenttfbsclusteredregionswithhicdata AT boxiaochen exploringspatiallyadjacenttfbsclusteredregionswithhicdata |