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coTRaCTE predicts co-occurring transcription factors within cell-type specific enhancers
Cell-type specific gene expression is regulated by the combinatorial action of transcription factors (TFs). In this study, we predict transcription factor (TF) combinations that cooperatively bind in a cell-type specific manner. We first divide DNase hypersensitive sites into cell-type specifically...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126874/ https://www.ncbi.nlm.nih.gov/pubmed/30142147 http://dx.doi.org/10.1371/journal.pcbi.1006372 |
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author | van Bömmel, Alena Love, Michael I. Chung, Ho-Ryun Vingron, Martin |
author_facet | van Bömmel, Alena Love, Michael I. Chung, Ho-Ryun Vingron, Martin |
author_sort | van Bömmel, Alena |
collection | PubMed |
description | Cell-type specific gene expression is regulated by the combinatorial action of transcription factors (TFs). In this study, we predict transcription factor (TF) combinations that cooperatively bind in a cell-type specific manner. We first divide DNase hypersensitive sites into cell-type specifically open vs. ubiquitously open sites in 64 cell types to describe possible cell-type specific enhancers. Based on the pattern contrast between these two groups of sequences we develop “co-occurring TF predictor on Cell-Type specific Enhancers” (coTRaCTE) - a novel statistical method to determine regulatory TF co-occurrences. Contrasting the co-binding of TF pairs between cell-type specific and ubiquitously open chromatin guarantees the high cell-type specificity of the predictions. coTRaCTE predicts more than 2000 co-occurring TF pairs in 64 cell types. The large majority (70%) of these TF pairs is highly cell-type specific and overlaps in TF pair co-occurrence are highly consistent among related cell types. Furthermore, independently validated co-occurring and directly interacting TFs are significantly enriched in our predictions. Focusing on the regulatory network derived from the predicted co-occurring TF pairs in embryonic stem cells (ESCs) we find that it consists of three subnetworks with distinct functions: maintenance of pluripotency governed by OCT4, SOX2 and NANOG, regulation of early development governed by KLF4, STAT3, ZIC3 and ZNF148 and general functions governed by MYC, TCF3 and YY1. In summary, coTRaCTE predicts highly cell-type specific co-occurring TFs which reveal new insights into transcriptional regulatory mechanisms. |
format | Online Article Text |
id | pubmed-6126874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-61268742018-09-17 coTRaCTE predicts co-occurring transcription factors within cell-type specific enhancers van Bömmel, Alena Love, Michael I. Chung, Ho-Ryun Vingron, Martin PLoS Comput Biol Research Article Cell-type specific gene expression is regulated by the combinatorial action of transcription factors (TFs). In this study, we predict transcription factor (TF) combinations that cooperatively bind in a cell-type specific manner. We first divide DNase hypersensitive sites into cell-type specifically open vs. ubiquitously open sites in 64 cell types to describe possible cell-type specific enhancers. Based on the pattern contrast between these two groups of sequences we develop “co-occurring TF predictor on Cell-Type specific Enhancers” (coTRaCTE) - a novel statistical method to determine regulatory TF co-occurrences. Contrasting the co-binding of TF pairs between cell-type specific and ubiquitously open chromatin guarantees the high cell-type specificity of the predictions. coTRaCTE predicts more than 2000 co-occurring TF pairs in 64 cell types. The large majority (70%) of these TF pairs is highly cell-type specific and overlaps in TF pair co-occurrence are highly consistent among related cell types. Furthermore, independently validated co-occurring and directly interacting TFs are significantly enriched in our predictions. Focusing on the regulatory network derived from the predicted co-occurring TF pairs in embryonic stem cells (ESCs) we find that it consists of three subnetworks with distinct functions: maintenance of pluripotency governed by OCT4, SOX2 and NANOG, regulation of early development governed by KLF4, STAT3, ZIC3 and ZNF148 and general functions governed by MYC, TCF3 and YY1. In summary, coTRaCTE predicts highly cell-type specific co-occurring TFs which reveal new insights into transcriptional regulatory mechanisms. Public Library of Science 2018-08-24 /pmc/articles/PMC6126874/ /pubmed/30142147 http://dx.doi.org/10.1371/journal.pcbi.1006372 Text en © 2018 van Bömmel et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article van Bömmel, Alena Love, Michael I. Chung, Ho-Ryun Vingron, Martin coTRaCTE predicts co-occurring transcription factors within cell-type specific enhancers |
title | coTRaCTE predicts co-occurring transcription factors within cell-type specific enhancers |
title_full | coTRaCTE predicts co-occurring transcription factors within cell-type specific enhancers |
title_fullStr | coTRaCTE predicts co-occurring transcription factors within cell-type specific enhancers |
title_full_unstemmed | coTRaCTE predicts co-occurring transcription factors within cell-type specific enhancers |
title_short | coTRaCTE predicts co-occurring transcription factors within cell-type specific enhancers |
title_sort | cotracte predicts co-occurring transcription factors within cell-type specific enhancers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126874/ https://www.ncbi.nlm.nih.gov/pubmed/30142147 http://dx.doi.org/10.1371/journal.pcbi.1006372 |
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