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Wellington-bootstrap: differential DNase-seq footprinting identifies cell-type determining transcription factors
BACKGROUND: The analysis of differential gene expression is a fundamental tool to relate gene regulation with specific biological processes. Differential binding of transcription factors (TFs) can drive differential gene expression. While DNase-seq data can provide global snapshots of TF binding, to...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4658755/ https://www.ncbi.nlm.nih.gov/pubmed/26608661 http://dx.doi.org/10.1186/s12864-015-2081-4 |
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author | Piper, Jason Assi, Salam A. Cauchy, Pierre Ladroue, Christophe Cockerill, Peter N. Bonifer, Constanze Ott, Sascha |
author_facet | Piper, Jason Assi, Salam A. Cauchy, Pierre Ladroue, Christophe Cockerill, Peter N. Bonifer, Constanze Ott, Sascha |
author_sort | Piper, Jason |
collection | PubMed |
description | BACKGROUND: The analysis of differential gene expression is a fundamental tool to relate gene regulation with specific biological processes. Differential binding of transcription factors (TFs) can drive differential gene expression. While DNase-seq data can provide global snapshots of TF binding, tools for detecting differential binding from pairs of DNase-seq data sets are lacking. RESULTS: In order to link expression changes with changes in TF binding we introduce the concept of differential footprinting alongside a computational tool. We demonstrate that differential footprinting is associated with differential gene expression and can be used to define cell types by their specific TF occupancy patterns. CONCLUSIONS: Our new tool, Wellington-bootstrap, will enable the detection of differential TF binding facilitating the study of gene regulatory systems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2081-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4658755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46587552015-11-26 Wellington-bootstrap: differential DNase-seq footprinting identifies cell-type determining transcription factors Piper, Jason Assi, Salam A. Cauchy, Pierre Ladroue, Christophe Cockerill, Peter N. Bonifer, Constanze Ott, Sascha BMC Genomics Methodology Article BACKGROUND: The analysis of differential gene expression is a fundamental tool to relate gene regulation with specific biological processes. Differential binding of transcription factors (TFs) can drive differential gene expression. While DNase-seq data can provide global snapshots of TF binding, tools for detecting differential binding from pairs of DNase-seq data sets are lacking. RESULTS: In order to link expression changes with changes in TF binding we introduce the concept of differential footprinting alongside a computational tool. We demonstrate that differential footprinting is associated with differential gene expression and can be used to define cell types by their specific TF occupancy patterns. CONCLUSIONS: Our new tool, Wellington-bootstrap, will enable the detection of differential TF binding facilitating the study of gene regulatory systems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2081-4) contains supplementary material, which is available to authorized users. BioMed Central 2015-11-25 /pmc/articles/PMC4658755/ /pubmed/26608661 http://dx.doi.org/10.1186/s12864-015-2081-4 Text en © Piper et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Article Piper, Jason Assi, Salam A. Cauchy, Pierre Ladroue, Christophe Cockerill, Peter N. Bonifer, Constanze Ott, Sascha Wellington-bootstrap: differential DNase-seq footprinting identifies cell-type determining transcription factors |
title | Wellington-bootstrap: differential DNase-seq footprinting identifies cell-type determining transcription factors |
title_full | Wellington-bootstrap: differential DNase-seq footprinting identifies cell-type determining transcription factors |
title_fullStr | Wellington-bootstrap: differential DNase-seq footprinting identifies cell-type determining transcription factors |
title_full_unstemmed | Wellington-bootstrap: differential DNase-seq footprinting identifies cell-type determining transcription factors |
title_short | Wellington-bootstrap: differential DNase-seq footprinting identifies cell-type determining transcription factors |
title_sort | wellington-bootstrap: differential dnase-seq footprinting identifies cell-type determining transcription factors |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4658755/ https://www.ncbi.nlm.nih.gov/pubmed/26608661 http://dx.doi.org/10.1186/s12864-015-2081-4 |
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