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SEdb 2.0: a comprehensive super-enhancer database of human and mouse
Super-enhancers (SEs) are cell-specific DNA cis-regulatory elements that can supervise the transcriptional regulation processes of downstream genes. SEdb 2.0 (http://www.licpathway.net/sedb) aims to provide a comprehensive SE resource and annotate their potential roles in gene transcriptions. Compar...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825585/ https://www.ncbi.nlm.nih.gov/pubmed/36318264 http://dx.doi.org/10.1093/nar/gkac968 |
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author | Wang, Yuezhu Song, Chao Zhao, Jun Zhang, Yuexin Zhao, Xilong Feng, Chenchen Zhang, Guorui Zhu, Jiang Wang, Fan Qian, Fengcui Zhou, Liwei Zhang, Jian Bai, Xuefeng Ai, Bo Liu, Xinyu Wang, Qiuyu Li, Chunquan |
author_facet | Wang, Yuezhu Song, Chao Zhao, Jun Zhang, Yuexin Zhao, Xilong Feng, Chenchen Zhang, Guorui Zhu, Jiang Wang, Fan Qian, Fengcui Zhou, Liwei Zhang, Jian Bai, Xuefeng Ai, Bo Liu, Xinyu Wang, Qiuyu Li, Chunquan |
author_sort | Wang, Yuezhu |
collection | PubMed |
description | Super-enhancers (SEs) are cell-specific DNA cis-regulatory elements that can supervise the transcriptional regulation processes of downstream genes. SEdb 2.0 (http://www.licpathway.net/sedb) aims to provide a comprehensive SE resource and annotate their potential roles in gene transcriptions. Compared with SEdb 1.0, we have made the following improvements: (i) Newly added the mouse SEs and expanded the scale of human SEs. SEdb 2.0 contained 1 167 518 SEs from 1739 human H3K27ac chromatin immunoprecipitation sequencing (ChIP-seq) samples and 550 226 SEs from 931 mouse H3K27ac ChIP-seq samples, which was five times that of SEdb 1.0. (ii) Newly added transcription factor binding sites (TFBSs) in SEs identified by TF motifs and TF ChIP-seq data. (iii) Added comprehensive (epi)genetic annotations of SEs, including chromatin accessibility regions, methylation sites, chromatin interaction regions and topologically associating domains (TADs). (iv) Newly embedded and updated search and analysis tools, including ‘Search SE by TF-based’, ‘Differential-Overlapping-SE analysis’ and ‘SE-based TF–Gene analysis’. (v) Newly provided quality control (QC) metrics for ChIP-seq processing. In summary, SEdb 2.0 is a comprehensive update of SEdb 1.0, which curates more SEs and annotation information than SEdb 1.0. SEdb 2.0 provides a friendly platform for researchers to more comprehensively clarify the important role of SEs in the biological process. |
format | Online Article Text |
id | pubmed-9825585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98255852023-01-10 SEdb 2.0: a comprehensive super-enhancer database of human and mouse Wang, Yuezhu Song, Chao Zhao, Jun Zhang, Yuexin Zhao, Xilong Feng, Chenchen Zhang, Guorui Zhu, Jiang Wang, Fan Qian, Fengcui Zhou, Liwei Zhang, Jian Bai, Xuefeng Ai, Bo Liu, Xinyu Wang, Qiuyu Li, Chunquan Nucleic Acids Res Database Issue Super-enhancers (SEs) are cell-specific DNA cis-regulatory elements that can supervise the transcriptional regulation processes of downstream genes. SEdb 2.0 (http://www.licpathway.net/sedb) aims to provide a comprehensive SE resource and annotate their potential roles in gene transcriptions. Compared with SEdb 1.0, we have made the following improvements: (i) Newly added the mouse SEs and expanded the scale of human SEs. SEdb 2.0 contained 1 167 518 SEs from 1739 human H3K27ac chromatin immunoprecipitation sequencing (ChIP-seq) samples and 550 226 SEs from 931 mouse H3K27ac ChIP-seq samples, which was five times that of SEdb 1.0. (ii) Newly added transcription factor binding sites (TFBSs) in SEs identified by TF motifs and TF ChIP-seq data. (iii) Added comprehensive (epi)genetic annotations of SEs, including chromatin accessibility regions, methylation sites, chromatin interaction regions and topologically associating domains (TADs). (iv) Newly embedded and updated search and analysis tools, including ‘Search SE by TF-based’, ‘Differential-Overlapping-SE analysis’ and ‘SE-based TF–Gene analysis’. (v) Newly provided quality control (QC) metrics for ChIP-seq processing. In summary, SEdb 2.0 is a comprehensive update of SEdb 1.0, which curates more SEs and annotation information than SEdb 1.0. SEdb 2.0 provides a friendly platform for researchers to more comprehensively clarify the important role of SEs in the biological process. Oxford University Press 2022-11-01 /pmc/articles/PMC9825585/ /pubmed/36318264 http://dx.doi.org/10.1093/nar/gkac968 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://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 Wang, Yuezhu Song, Chao Zhao, Jun Zhang, Yuexin Zhao, Xilong Feng, Chenchen Zhang, Guorui Zhu, Jiang Wang, Fan Qian, Fengcui Zhou, Liwei Zhang, Jian Bai, Xuefeng Ai, Bo Liu, Xinyu Wang, Qiuyu Li, Chunquan SEdb 2.0: a comprehensive super-enhancer database of human and mouse |
title | SEdb 2.0: a comprehensive super-enhancer database of human and mouse |
title_full | SEdb 2.0: a comprehensive super-enhancer database of human and mouse |
title_fullStr | SEdb 2.0: a comprehensive super-enhancer database of human and mouse |
title_full_unstemmed | SEdb 2.0: a comprehensive super-enhancer database of human and mouse |
title_short | SEdb 2.0: a comprehensive super-enhancer database of human and mouse |
title_sort | sedb 2.0: a comprehensive super-enhancer database of human and mouse |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825585/ https://www.ncbi.nlm.nih.gov/pubmed/36318264 http://dx.doi.org/10.1093/nar/gkac968 |
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