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Occupancy by key transcription factors is a more accurate predictor of enhancer activity than histone modifications or chromatin accessibility

BACKGROUND: Regulated gene expression controls organismal development, and variation in regulatory patterns has been implicated in complex traits. Thus accurate prediction of enhancers is important for further understanding of these processes. Genome-wide measurement of epigenetic features, such as...

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Autores principales: Dogan, Nergiz, Wu, Weisheng, Morrissey, Christapher S, Chen, Kuan-Bei, Stonestrom, Aaron, Long, Maria, Keller, Cheryl A, Cheng, Yong, Jain, Deepti, Visel, Axel, Pennacchio, Len A, Weiss, Mitchell J, Blobel, Gerd A, Hardison, Ross C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4432502/
https://www.ncbi.nlm.nih.gov/pubmed/25984238
http://dx.doi.org/10.1186/s13072-015-0009-5
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author Dogan, Nergiz
Wu, Weisheng
Morrissey, Christapher S
Chen, Kuan-Bei
Stonestrom, Aaron
Long, Maria
Keller, Cheryl A
Cheng, Yong
Jain, Deepti
Visel, Axel
Pennacchio, Len A
Weiss, Mitchell J
Blobel, Gerd A
Hardison, Ross C
author_facet Dogan, Nergiz
Wu, Weisheng
Morrissey, Christapher S
Chen, Kuan-Bei
Stonestrom, Aaron
Long, Maria
Keller, Cheryl A
Cheng, Yong
Jain, Deepti
Visel, Axel
Pennacchio, Len A
Weiss, Mitchell J
Blobel, Gerd A
Hardison, Ross C
author_sort Dogan, Nergiz
collection PubMed
description BACKGROUND: Regulated gene expression controls organismal development, and variation in regulatory patterns has been implicated in complex traits. Thus accurate prediction of enhancers is important for further understanding of these processes. Genome-wide measurement of epigenetic features, such as histone modifications and occupancy by transcription factors, is improving enhancer predictions, but the contribution of these features to prediction accuracy is not known. Given the importance of the hematopoietic transcription factor TAL1 for erythroid gene activation, we predicted candidate enhancers based on genomic occupancy by TAL1 and measured their activity. Contributions of multiple features to enhancer prediction were evaluated based on the results of these and other studies. RESULTS: TAL1-bound DNA segments were active enhancers at a high rate both in transient transfections of cultured cells (39 of 79, or 56%) and transgenic mice (43 of 66, or 65%). The level of binding signal for TAL1 or GATA1 did not help distinguish TAL1-bound DNA segments as active versus inactive enhancers, nor did the density of regulation-related histone modifications. A meta-analysis of results from this and other studies (273 tested predicted enhancers) showed that the presence of TAL1, GATA1, EP300, SMAD1, H3K4 methylation, H3K27ac, and CAGE tags at DNase hypersensitive sites gave the most accurate predictors of enhancer activity, with a success rate over 80% and a median threefold increase in activity. Chromatin accessibility assays and the histone modifications H3K4me1 and H3K27ac were sensitive for finding enhancers, but they have high false positive rates unless transcription factor occupancy is also included. CONCLUSIONS: Occupancy by key transcription factors such as TAL1, GATA1, SMAD1, and EP300, along with evidence of transcription, improves the accuracy of enhancer predictions based on epigenetic features. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13072-015-0009-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-44325022015-05-16 Occupancy by key transcription factors is a more accurate predictor of enhancer activity than histone modifications or chromatin accessibility Dogan, Nergiz Wu, Weisheng Morrissey, Christapher S Chen, Kuan-Bei Stonestrom, Aaron Long, Maria Keller, Cheryl A Cheng, Yong Jain, Deepti Visel, Axel Pennacchio, Len A Weiss, Mitchell J Blobel, Gerd A Hardison, Ross C Epigenetics Chromatin Research BACKGROUND: Regulated gene expression controls organismal development, and variation in regulatory patterns has been implicated in complex traits. Thus accurate prediction of enhancers is important for further understanding of these processes. Genome-wide measurement of epigenetic features, such as histone modifications and occupancy by transcription factors, is improving enhancer predictions, but the contribution of these features to prediction accuracy is not known. Given the importance of the hematopoietic transcription factor TAL1 for erythroid gene activation, we predicted candidate enhancers based on genomic occupancy by TAL1 and measured their activity. Contributions of multiple features to enhancer prediction were evaluated based on the results of these and other studies. RESULTS: TAL1-bound DNA segments were active enhancers at a high rate both in transient transfections of cultured cells (39 of 79, or 56%) and transgenic mice (43 of 66, or 65%). The level of binding signal for TAL1 or GATA1 did not help distinguish TAL1-bound DNA segments as active versus inactive enhancers, nor did the density of regulation-related histone modifications. A meta-analysis of results from this and other studies (273 tested predicted enhancers) showed that the presence of TAL1, GATA1, EP300, SMAD1, H3K4 methylation, H3K27ac, and CAGE tags at DNase hypersensitive sites gave the most accurate predictors of enhancer activity, with a success rate over 80% and a median threefold increase in activity. Chromatin accessibility assays and the histone modifications H3K4me1 and H3K27ac were sensitive for finding enhancers, but they have high false positive rates unless transcription factor occupancy is also included. CONCLUSIONS: Occupancy by key transcription factors such as TAL1, GATA1, SMAD1, and EP300, along with evidence of transcription, improves the accuracy of enhancer predictions based on epigenetic features. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13072-015-0009-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-04-23 /pmc/articles/PMC4432502/ /pubmed/25984238 http://dx.doi.org/10.1186/s13072-015-0009-5 Text en © Dogan et al.; licensee BioMed Central. 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
Dogan, Nergiz
Wu, Weisheng
Morrissey, Christapher S
Chen, Kuan-Bei
Stonestrom, Aaron
Long, Maria
Keller, Cheryl A
Cheng, Yong
Jain, Deepti
Visel, Axel
Pennacchio, Len A
Weiss, Mitchell J
Blobel, Gerd A
Hardison, Ross C
Occupancy by key transcription factors is a more accurate predictor of enhancer activity than histone modifications or chromatin accessibility
title Occupancy by key transcription factors is a more accurate predictor of enhancer activity than histone modifications or chromatin accessibility
title_full Occupancy by key transcription factors is a more accurate predictor of enhancer activity than histone modifications or chromatin accessibility
title_fullStr Occupancy by key transcription factors is a more accurate predictor of enhancer activity than histone modifications or chromatin accessibility
title_full_unstemmed Occupancy by key transcription factors is a more accurate predictor of enhancer activity than histone modifications or chromatin accessibility
title_short Occupancy by key transcription factors is a more accurate predictor of enhancer activity than histone modifications or chromatin accessibility
title_sort occupancy by key transcription factors is a more accurate predictor of enhancer activity than histone modifications or chromatin accessibility
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4432502/
https://www.ncbi.nlm.nih.gov/pubmed/25984238
http://dx.doi.org/10.1186/s13072-015-0009-5
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