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SEA version 3.0: a comprehensive extension and update of the Super-Enhancer archive

Super-enhancers (SEs) are critical for the transcriptional regulation of gene expression. We developed the super-enhancer archive version 3.0 (SEA v. 3.0, http://sea.edbc.org) to extend SE research. SEA v. 3.0 provides the most comprehensive archive to date, consisting of 164 545 super-enhancers. Of...

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Detalles Bibliográficos
Autores principales: Chen, Chuangeng, Zhou, Dianshuang, Gu, Yue, Wang, Cong, Zhang, Mengyan, Lin, Xiangyu, Xing, Jie, Wang, Hongli, Zhang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145603/
https://www.ncbi.nlm.nih.gov/pubmed/31667506
http://dx.doi.org/10.1093/nar/gkz1028
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author Chen, Chuangeng
Zhou, Dianshuang
Gu, Yue
Wang, Cong
Zhang, Mengyan
Lin, Xiangyu
Xing, Jie
Wang, Hongli
Zhang, Yan
author_facet Chen, Chuangeng
Zhou, Dianshuang
Gu, Yue
Wang, Cong
Zhang, Mengyan
Lin, Xiangyu
Xing, Jie
Wang, Hongli
Zhang, Yan
author_sort Chen, Chuangeng
collection PubMed
description Super-enhancers (SEs) are critical for the transcriptional regulation of gene expression. We developed the super-enhancer archive version 3.0 (SEA v. 3.0, http://sea.edbc.org) to extend SE research. SEA v. 3.0 provides the most comprehensive archive to date, consisting of 164 545 super-enhancers. Of these, 80 549 are newly identified from 266 cell types/tissues/diseases using an optimized computational strategy, and 52 have been experimentally confirmed with manually curated references. We now support super-enhancers in 11 species including 7 new species (zebrafish, chicken, chimp, rhesus, sheep, Xenopus tropicalis and stickleback). To facilitate super-enhancer functional analysis, we added several new regulatory datasets including 3 361 785 typical enhancers, chromatin interactions, SNPs, transcription factor binding sites and SpCas9 target sites. We also updated or developed new criteria query, genome visualization and analysis tools for the archive. This includes a tool based on Shannon Entropy to evaluate SE cell type specificity, a new genome browser that enables the visualization of SE spatial interactions based on Hi-C data, and an enhanced enrichment analysis interface that provides online enrichment analyses of SE related genes. SEA v. 3.0 provides a comprehensive database of all available SE information across multiple species, and will facilitate super-enhancer research, especially as related to development and disease.
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spelling pubmed-71456032020-04-13 SEA version 3.0: a comprehensive extension and update of the Super-Enhancer archive Chen, Chuangeng Zhou, Dianshuang Gu, Yue Wang, Cong Zhang, Mengyan Lin, Xiangyu Xing, Jie Wang, Hongli Zhang, Yan Nucleic Acids Res Database Issue Super-enhancers (SEs) are critical for the transcriptional regulation of gene expression. We developed the super-enhancer archive version 3.0 (SEA v. 3.0, http://sea.edbc.org) to extend SE research. SEA v. 3.0 provides the most comprehensive archive to date, consisting of 164 545 super-enhancers. Of these, 80 549 are newly identified from 266 cell types/tissues/diseases using an optimized computational strategy, and 52 have been experimentally confirmed with manually curated references. We now support super-enhancers in 11 species including 7 new species (zebrafish, chicken, chimp, rhesus, sheep, Xenopus tropicalis and stickleback). To facilitate super-enhancer functional analysis, we added several new regulatory datasets including 3 361 785 typical enhancers, chromatin interactions, SNPs, transcription factor binding sites and SpCas9 target sites. We also updated or developed new criteria query, genome visualization and analysis tools for the archive. This includes a tool based on Shannon Entropy to evaluate SE cell type specificity, a new genome browser that enables the visualization of SE spatial interactions based on Hi-C data, and an enhanced enrichment analysis interface that provides online enrichment analyses of SE related genes. SEA v. 3.0 provides a comprehensive database of all available SE information across multiple species, and will facilitate super-enhancer research, especially as related to development and disease. Oxford University Press 2020-01-08 2019-10-31 /pmc/articles/PMC7145603/ /pubmed/31667506 http://dx.doi.org/10.1093/nar/gkz1028 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Chen, Chuangeng
Zhou, Dianshuang
Gu, Yue
Wang, Cong
Zhang, Mengyan
Lin, Xiangyu
Xing, Jie
Wang, Hongli
Zhang, Yan
SEA version 3.0: a comprehensive extension and update of the Super-Enhancer archive
title SEA version 3.0: a comprehensive extension and update of the Super-Enhancer archive
title_full SEA version 3.0: a comprehensive extension and update of the Super-Enhancer archive
title_fullStr SEA version 3.0: a comprehensive extension and update of the Super-Enhancer archive
title_full_unstemmed SEA version 3.0: a comprehensive extension and update of the Super-Enhancer archive
title_short SEA version 3.0: a comprehensive extension and update of the Super-Enhancer archive
title_sort sea version 3.0: a comprehensive extension and update of the super-enhancer archive
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145603/
https://www.ncbi.nlm.nih.gov/pubmed/31667506
http://dx.doi.org/10.1093/nar/gkz1028
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