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Predicting the Human Epigenome from DNA Motifs
The epigenome is established and maintained by the site-specific recruitment of chromatin-modifying enzymes and their co-factors. Identifying the cis-elements that regulate epigenomic modification is critical to understand the regulatory mechanisms that control gene expression patterns. We present E...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4344378/ https://www.ncbi.nlm.nih.gov/pubmed/25240437 http://dx.doi.org/10.1038/nmeth.3065 |
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author | Whitaker, John W. Chen, Zhao Wang, Wei |
author_facet | Whitaker, John W. Chen, Zhao Wang, Wei |
author_sort | Whitaker, John W. |
collection | PubMed |
description | The epigenome is established and maintained by the site-specific recruitment of chromatin-modifying enzymes and their co-factors. Identifying the cis-elements that regulate epigenomic modification is critical to understand the regulatory mechanisms that control gene expression patterns. We present Epigram, an analysis pipeline that predicts histone modification and DNA methylation patterns from DNA motifs. The identified cis-elements represent interactions with the site-specific DNA-binding factors that establish and maintain epigenomic modifications. We catalog the cis-elements in embryonic stem cells and four derived lineages and found numerous motifs that have location preference, such as at the center of H3K27ac or at the edges of H3K4me3 and H3K9me3, which provides mechanistic insight about the shaping of the epigenome. The Epigram pipeline and predictive motifs are at http://wanglab.ucsd.edu/star/epigram. |
format | Online Article Text |
id | pubmed-4344378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
record_format | MEDLINE/PubMed |
spelling | pubmed-43443782015-09-01 Predicting the Human Epigenome from DNA Motifs Whitaker, John W. Chen, Zhao Wang, Wei Nat Methods Article The epigenome is established and maintained by the site-specific recruitment of chromatin-modifying enzymes and their co-factors. Identifying the cis-elements that regulate epigenomic modification is critical to understand the regulatory mechanisms that control gene expression patterns. We present Epigram, an analysis pipeline that predicts histone modification and DNA methylation patterns from DNA motifs. The identified cis-elements represent interactions with the site-specific DNA-binding factors that establish and maintain epigenomic modifications. We catalog the cis-elements in embryonic stem cells and four derived lineages and found numerous motifs that have location preference, such as at the center of H3K27ac or at the edges of H3K4me3 and H3K9me3, which provides mechanistic insight about the shaping of the epigenome. The Epigram pipeline and predictive motifs are at http://wanglab.ucsd.edu/star/epigram. 2014-09-21 2015-03 /pmc/articles/PMC4344378/ /pubmed/25240437 http://dx.doi.org/10.1038/nmeth.3065 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Whitaker, John W. Chen, Zhao Wang, Wei Predicting the Human Epigenome from DNA Motifs |
title | Predicting the Human Epigenome from DNA Motifs |
title_full | Predicting the Human Epigenome from DNA Motifs |
title_fullStr | Predicting the Human Epigenome from DNA Motifs |
title_full_unstemmed | Predicting the Human Epigenome from DNA Motifs |
title_short | Predicting the Human Epigenome from DNA Motifs |
title_sort | predicting the human epigenome from dna motifs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4344378/ https://www.ncbi.nlm.nih.gov/pubmed/25240437 http://dx.doi.org/10.1038/nmeth.3065 |
work_keys_str_mv | AT whitakerjohnw predictingthehumanepigenomefromdnamotifs AT chenzhao predictingthehumanepigenomefromdnamotifs AT wangwei predictingthehumanepigenomefromdnamotifs |