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SEA: a super-enhancer archive

Super-enhancers are large clusters of transcriptional enhancers regarded as having essential roles in driving the expression of genes that control cell identity during development and tumorigenesis. The construction of a genome-wide super-enhancer database is urgently needed to better understand sup...

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Detalles Bibliográficos
Autores principales: Wei, Yanjun, Zhang, Shumei, Shang, Shipeng, Zhang, Bin, Li, Song, Wang, Xinyu, Wang, Fang, Su, Jianzhong, Wu, Qiong, Liu, Hongbo, Zhang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702879/
https://www.ncbi.nlm.nih.gov/pubmed/26578594
http://dx.doi.org/10.1093/nar/gkv1243
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author Wei, Yanjun
Zhang, Shumei
Shang, Shipeng
Zhang, Bin
Li, Song
Wang, Xinyu
Wang, Fang
Su, Jianzhong
Wu, Qiong
Liu, Hongbo
Zhang, Yan
author_facet Wei, Yanjun
Zhang, Shumei
Shang, Shipeng
Zhang, Bin
Li, Song
Wang, Xinyu
Wang, Fang
Su, Jianzhong
Wu, Qiong
Liu, Hongbo
Zhang, Yan
author_sort Wei, Yanjun
collection PubMed
description Super-enhancers are large clusters of transcriptional enhancers regarded as having essential roles in driving the expression of genes that control cell identity during development and tumorigenesis. The construction of a genome-wide super-enhancer database is urgently needed to better understand super-enhancer-directed gene expression regulation for a given biology process. Here, we present a specifically designed web-accessible database, Super-Enhancer Archive (SEA, http://sea.edbc.org). SEA focuses on integrating super-enhancers in multiple species and annotating their potential roles in the regulation of cell identity gene expression. The current release of SEA incorporates 83 996 super-enhancers computationally or experimentally identified in 134 cell types/tissues/diseases, including human (75 439, three of which were experimentally identified), mouse (5879, five of which were experimentally identified), Drosophila melanogaster (1774) and Caenorhabditis elegans (904). To facilitate data extraction, SEA supports multiple search options, including species, genome location, gene name, cell type/tissue and super-enhancer name. The response provides detailed (epi)genetic information, incorporating cell type specificity, nearby genes, transcriptional factor binding sites, CRISPR/Cas9 target sites, evolutionary conservation, SNPs, H3K27ac, DNA methylation, gene expression and TF ChIP-seq data. Moreover, analytical tools and a genome browser were developed for users to explore super-enhancers and their roles in defining cell identity and disease processes in depth.
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spelling pubmed-47028792016-01-07 SEA: a super-enhancer archive Wei, Yanjun Zhang, Shumei Shang, Shipeng Zhang, Bin Li, Song Wang, Xinyu Wang, Fang Su, Jianzhong Wu, Qiong Liu, Hongbo Zhang, Yan Nucleic Acids Res Database Issue Super-enhancers are large clusters of transcriptional enhancers regarded as having essential roles in driving the expression of genes that control cell identity during development and tumorigenesis. The construction of a genome-wide super-enhancer database is urgently needed to better understand super-enhancer-directed gene expression regulation for a given biology process. Here, we present a specifically designed web-accessible database, Super-Enhancer Archive (SEA, http://sea.edbc.org). SEA focuses on integrating super-enhancers in multiple species and annotating their potential roles in the regulation of cell identity gene expression. The current release of SEA incorporates 83 996 super-enhancers computationally or experimentally identified in 134 cell types/tissues/diseases, including human (75 439, three of which were experimentally identified), mouse (5879, five of which were experimentally identified), Drosophila melanogaster (1774) and Caenorhabditis elegans (904). To facilitate data extraction, SEA supports multiple search options, including species, genome location, gene name, cell type/tissue and super-enhancer name. The response provides detailed (epi)genetic information, incorporating cell type specificity, nearby genes, transcriptional factor binding sites, CRISPR/Cas9 target sites, evolutionary conservation, SNPs, H3K27ac, DNA methylation, gene expression and TF ChIP-seq data. Moreover, analytical tools and a genome browser were developed for users to explore super-enhancers and their roles in defining cell identity and disease processes in depth. Oxford University Press 2016-01-04 2015-11-17 /pmc/articles/PMC4702879/ /pubmed/26578594 http://dx.doi.org/10.1093/nar/gkv1243 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Wei, Yanjun
Zhang, Shumei
Shang, Shipeng
Zhang, Bin
Li, Song
Wang, Xinyu
Wang, Fang
Su, Jianzhong
Wu, Qiong
Liu, Hongbo
Zhang, Yan
SEA: a super-enhancer archive
title SEA: a super-enhancer archive
title_full SEA: a super-enhancer archive
title_fullStr SEA: a super-enhancer archive
title_full_unstemmed SEA: a super-enhancer archive
title_short SEA: a super-enhancer archive
title_sort sea: a super-enhancer archive
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702879/
https://www.ncbi.nlm.nih.gov/pubmed/26578594
http://dx.doi.org/10.1093/nar/gkv1243
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