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LncRNADisease: a database for long-non-coding RNA-associated diseases
In this article, we describe a long-non-coding RNA (lncRNA) and disease association database (LncRNADisease), which is publicly accessible at http://cmbi.bjmu.edu.cn/lncrnadisease. In recent years, a large number of lncRNAs have been identified and increasing evidence shows that lncRNAs play critica...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531173/ https://www.ncbi.nlm.nih.gov/pubmed/23175614 http://dx.doi.org/10.1093/nar/gks1099 |
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author | Chen, Geng Wang, Ziyun Wang, Dongqing Qiu, Chengxiang Liu, Mingxi Chen, Xing Zhang, Qipeng Yan, Guiying Cui, Qinghua |
author_facet | Chen, Geng Wang, Ziyun Wang, Dongqing Qiu, Chengxiang Liu, Mingxi Chen, Xing Zhang, Qipeng Yan, Guiying Cui, Qinghua |
author_sort | Chen, Geng |
collection | PubMed |
description | In this article, we describe a long-non-coding RNA (lncRNA) and disease association database (LncRNADisease), which is publicly accessible at http://cmbi.bjmu.edu.cn/lncrnadisease. In recent years, a large number of lncRNAs have been identified and increasing evidence shows that lncRNAs play critical roles in various biological processes. Therefore, the dysfunctions of lncRNAs are associated with a wide range of diseases. It thus becomes important to understand lncRNAs’ roles in diseases and to identify candidate lncRNAs for disease diagnosis, treatment and prognosis. For this purpose, a high-quality lncRNA–disease association database would be extremely beneficial. Here, we describe the LncRNADisease database that collected and curated approximately 480 entries of experimentally supported lncRNA–disease associations, including 166 diseases. LncRNADisease also curated 478 entries of lncRNA interacting partners at various molecular levels, including protein, RNA, miRNA and DNA. Moreover, we annotated lncRNA–disease associations with genomic information, sequences, references and species. We normalized the disease name and the type of lncRNA dysfunction and provided a detailed description for each entry. Finally, we developed a bioinformatic method to predict novel lncRNA–disease associations and integrated the method and the predicted associated diseases of 1564 human lncRNAs into the database. |
format | Online Article Text |
id | pubmed-3531173 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-35311732013-01-03 LncRNADisease: a database for long-non-coding RNA-associated diseases Chen, Geng Wang, Ziyun Wang, Dongqing Qiu, Chengxiang Liu, Mingxi Chen, Xing Zhang, Qipeng Yan, Guiying Cui, Qinghua Nucleic Acids Res Articles In this article, we describe a long-non-coding RNA (lncRNA) and disease association database (LncRNADisease), which is publicly accessible at http://cmbi.bjmu.edu.cn/lncrnadisease. In recent years, a large number of lncRNAs have been identified and increasing evidence shows that lncRNAs play critical roles in various biological processes. Therefore, the dysfunctions of lncRNAs are associated with a wide range of diseases. It thus becomes important to understand lncRNAs’ roles in diseases and to identify candidate lncRNAs for disease diagnosis, treatment and prognosis. For this purpose, a high-quality lncRNA–disease association database would be extremely beneficial. Here, we describe the LncRNADisease database that collected and curated approximately 480 entries of experimentally supported lncRNA–disease associations, including 166 diseases. LncRNADisease also curated 478 entries of lncRNA interacting partners at various molecular levels, including protein, RNA, miRNA and DNA. Moreover, we annotated lncRNA–disease associations with genomic information, sequences, references and species. We normalized the disease name and the type of lncRNA dysfunction and provided a detailed description for each entry. Finally, we developed a bioinformatic method to predict novel lncRNA–disease associations and integrated the method and the predicted associated diseases of 1564 human lncRNAs into the database. Oxford University Press 2013-01 2012-11-21 /pmc/articles/PMC3531173/ /pubmed/23175614 http://dx.doi.org/10.1093/nar/gks1099 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com. |
spellingShingle | Articles Chen, Geng Wang, Ziyun Wang, Dongqing Qiu, Chengxiang Liu, Mingxi Chen, Xing Zhang, Qipeng Yan, Guiying Cui, Qinghua LncRNADisease: a database for long-non-coding RNA-associated diseases |
title | LncRNADisease: a database for long-non-coding RNA-associated diseases |
title_full | LncRNADisease: a database for long-non-coding RNA-associated diseases |
title_fullStr | LncRNADisease: a database for long-non-coding RNA-associated diseases |
title_full_unstemmed | LncRNADisease: a database for long-non-coding RNA-associated diseases |
title_short | LncRNADisease: a database for long-non-coding RNA-associated diseases |
title_sort | lncrnadisease: a database for long-non-coding rna-associated diseases |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531173/ https://www.ncbi.nlm.nih.gov/pubmed/23175614 http://dx.doi.org/10.1093/nar/gks1099 |
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