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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-7145603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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