Cargando…
SilencerDB: a comprehensive database of silencers
Gene regulatory elements, including promoters, enhancers, silencers, etc., control transcriptional programs in a spatiotemporal manner. Though these elements are known to be able to induce either positive or negative transcriptional control, the community has been mostly studying enhancers which amp...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778955/ https://www.ncbi.nlm.nih.gov/pubmed/33045745 http://dx.doi.org/10.1093/nar/gkaa839 |
_version_ | 1783631232224985088 |
---|---|
author | Zeng, Wanwen Chen, Shengquan Cui, Xuejian Chen, Xiaoyang Gao, Zijing Jiang, Rui |
author_facet | Zeng, Wanwen Chen, Shengquan Cui, Xuejian Chen, Xiaoyang Gao, Zijing Jiang, Rui |
author_sort | Zeng, Wanwen |
collection | PubMed |
description | Gene regulatory elements, including promoters, enhancers, silencers, etc., control transcriptional programs in a spatiotemporal manner. Though these elements are known to be able to induce either positive or negative transcriptional control, the community has been mostly studying enhancers which amplify transcription initiation, with less emphasis given to silencers which repress gene expression. To facilitate the study of silencers and the investigation of their potential roles in transcriptional control, we developed SilencerDB (http://health.tsinghua.edu.cn/silencerdb/), a comprehensive database of silencers by manually curating silencers from 2300 published articles. The current version, SilencerDB 1.0, contains (1) 33 060 validated silencers from experimental methods, and (ii) 5 045 547 predicted silencers from state-of-the-art machine learning methods. The functionality of SilencerDB includes (a) standardized categorization of silencers in a tree-structured class hierarchy based on species, organ, tissue and cell line and (b) comprehensive annotations of silencers with the nearest gene and potential regulatory genes. SilencerDB, to the best of our knowledge, is the first comprehensive database at this scale dedicated to silencers, with reliable annotations and user-friendly interactive database features. We believe this database has the potential to enable advanced understanding of silencers in regulatory mechanisms and to empower researchers to devise diverse applications of silencers in disease development. |
format | Online Article Text |
id | pubmed-7778955 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77789552021-01-06 SilencerDB: a comprehensive database of silencers Zeng, Wanwen Chen, Shengquan Cui, Xuejian Chen, Xiaoyang Gao, Zijing Jiang, Rui Nucleic Acids Res Database Issue Gene regulatory elements, including promoters, enhancers, silencers, etc., control transcriptional programs in a spatiotemporal manner. Though these elements are known to be able to induce either positive or negative transcriptional control, the community has been mostly studying enhancers which amplify transcription initiation, with less emphasis given to silencers which repress gene expression. To facilitate the study of silencers and the investigation of their potential roles in transcriptional control, we developed SilencerDB (http://health.tsinghua.edu.cn/silencerdb/), a comprehensive database of silencers by manually curating silencers from 2300 published articles. The current version, SilencerDB 1.0, contains (1) 33 060 validated silencers from experimental methods, and (ii) 5 045 547 predicted silencers from state-of-the-art machine learning methods. The functionality of SilencerDB includes (a) standardized categorization of silencers in a tree-structured class hierarchy based on species, organ, tissue and cell line and (b) comprehensive annotations of silencers with the nearest gene and potential regulatory genes. SilencerDB, to the best of our knowledge, is the first comprehensive database at this scale dedicated to silencers, with reliable annotations and user-friendly interactive database features. We believe this database has the potential to enable advanced understanding of silencers in regulatory mechanisms and to empower researchers to devise diverse applications of silencers in disease development. Oxford University Press 2020-10-12 /pmc/articles/PMC7778955/ /pubmed/33045745 http://dx.doi.org/10.1093/nar/gkaa839 Text en © The Author(s) 2020. 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 Zeng, Wanwen Chen, Shengquan Cui, Xuejian Chen, Xiaoyang Gao, Zijing Jiang, Rui SilencerDB: a comprehensive database of silencers |
title | SilencerDB: a comprehensive database of silencers |
title_full | SilencerDB: a comprehensive database of silencers |
title_fullStr | SilencerDB: a comprehensive database of silencers |
title_full_unstemmed | SilencerDB: a comprehensive database of silencers |
title_short | SilencerDB: a comprehensive database of silencers |
title_sort | silencerdb: a comprehensive database of silencers |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778955/ https://www.ncbi.nlm.nih.gov/pubmed/33045745 http://dx.doi.org/10.1093/nar/gkaa839 |
work_keys_str_mv | AT zengwanwen silencerdbacomprehensivedatabaseofsilencers AT chenshengquan silencerdbacomprehensivedatabaseofsilencers AT cuixuejian silencerdbacomprehensivedatabaseofsilencers AT chenxiaoyang silencerdbacomprehensivedatabaseofsilencers AT gaozijing silencerdbacomprehensivedatabaseofsilencers AT jiangrui silencerdbacomprehensivedatabaseofsilencers |