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A semi-supervised approach uncovers thousands of intragenic enhancers differentially activated in human cells

BACKGROUND: Transcriptional enhancers are generally known to regulate gene transcription from afar. Their activation involves a series of changes in chromatin marks and recruitment of protein factors. These enhancers may also occur inside genes, but how many may be active in human cells and their ef...

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Autores principales: González-Vallinas, Juan, Pagès, Amadís, Singh, Babita, Eyras, Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4501197/
https://www.ncbi.nlm.nih.gov/pubmed/26169177
http://dx.doi.org/10.1186/s12864-015-1704-0
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author González-Vallinas, Juan
Pagès, Amadís
Singh, Babita
Eyras, Eduardo
author_facet González-Vallinas, Juan
Pagès, Amadís
Singh, Babita
Eyras, Eduardo
author_sort González-Vallinas, Juan
collection PubMed
description BACKGROUND: Transcriptional enhancers are generally known to regulate gene transcription from afar. Their activation involves a series of changes in chromatin marks and recruitment of protein factors. These enhancers may also occur inside genes, but how many may be active in human cells and their effects on the regulation of the host gene remains unclear. RESULTS: We describe a novel semi-supervised method based on the relative enrichment of chromatin signals between 2 conditions to predict active enhancers. We applied this method to the tumoral K562 and the normal GM12878 cell lines to predict enhancers that are differentially active in one cell type. These predictions show enhancer-like properties according to positional distribution, correlation with gene expression and production of enhancer RNAs. Using this model, we predict 10,365 and 9777 intragenic active enhancers in K562 and GM12878, respectively, and relate the differential activation of these enhancers to expression and splicing differences of the host genes. CONCLUSIONS: We propose that the activation or silencing of intragenic transcriptional enhancers modulate the regulation of the host gene by means of a local change of the chromatin and the recruitment of enhancer-related factors that may interact with the RNA directly or through the interaction with RNA binding proteins. Predicted enhancers are available at http://regulatorygenomics.upf.edu/Projects/enhancers.html. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1704-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-45011972015-07-15 A semi-supervised approach uncovers thousands of intragenic enhancers differentially activated in human cells González-Vallinas, Juan Pagès, Amadís Singh, Babita Eyras, Eduardo BMC Genomics Research Article BACKGROUND: Transcriptional enhancers are generally known to regulate gene transcription from afar. Their activation involves a series of changes in chromatin marks and recruitment of protein factors. These enhancers may also occur inside genes, but how many may be active in human cells and their effects on the regulation of the host gene remains unclear. RESULTS: We describe a novel semi-supervised method based on the relative enrichment of chromatin signals between 2 conditions to predict active enhancers. We applied this method to the tumoral K562 and the normal GM12878 cell lines to predict enhancers that are differentially active in one cell type. These predictions show enhancer-like properties according to positional distribution, correlation with gene expression and production of enhancer RNAs. Using this model, we predict 10,365 and 9777 intragenic active enhancers in K562 and GM12878, respectively, and relate the differential activation of these enhancers to expression and splicing differences of the host genes. CONCLUSIONS: We propose that the activation or silencing of intragenic transcriptional enhancers modulate the regulation of the host gene by means of a local change of the chromatin and the recruitment of enhancer-related factors that may interact with the RNA directly or through the interaction with RNA binding proteins. Predicted enhancers are available at http://regulatorygenomics.upf.edu/Projects/enhancers.html. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1704-0) contains supplementary material, which is available to authorized users. BioMed Central 2015-07-14 /pmc/articles/PMC4501197/ /pubmed/26169177 http://dx.doi.org/10.1186/s12864-015-1704-0 Text en © Gonzalez-Vallinas et al. 2015 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 work is properly credited. 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 Research Article
González-Vallinas, Juan
Pagès, Amadís
Singh, Babita
Eyras, Eduardo
A semi-supervised approach uncovers thousands of intragenic enhancers differentially activated in human cells
title A semi-supervised approach uncovers thousands of intragenic enhancers differentially activated in human cells
title_full A semi-supervised approach uncovers thousands of intragenic enhancers differentially activated in human cells
title_fullStr A semi-supervised approach uncovers thousands of intragenic enhancers differentially activated in human cells
title_full_unstemmed A semi-supervised approach uncovers thousands of intragenic enhancers differentially activated in human cells
title_short A semi-supervised approach uncovers thousands of intragenic enhancers differentially activated in human cells
title_sort semi-supervised approach uncovers thousands of intragenic enhancers differentially activated in human cells
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4501197/
https://www.ncbi.nlm.nih.gov/pubmed/26169177
http://dx.doi.org/10.1186/s12864-015-1704-0
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