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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.
Afiliação
  • Chen G; Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, China.
Nucleic Acids Res ; 41(Database issue): D983-6, 2013 Jan.
Article em En | MEDLINE | ID: mdl-23175614
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.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doença / Bases de Dados de Ácidos Nucleicos / RNA Longo não Codificante Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2013 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doença / Bases de Dados de Ácidos Nucleicos / RNA Longo não Codificante Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2013 Tipo de documento: Article País de afiliação: China