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Database Commons - LncRNADisease

LncRNADisease

Citations: 267

z-index 26.17

Short name LncRNADisease
Full name Database on lncRNA-disease associations
Description The LncRNADisease database is not only a resource that curated the experimentally supported lncRNA-disease association data but also a platform that integrated tool(s) for predicting novel lncRNA-disease associatons.
URL http://cmbi.bjmu.edu.cn/lncrnadisease
Year founded 2012
Last update & version 2015-06-02    v1.0
Availability Free to all users
University/Institution hosted Peking University
Address 38 Xueyuan Road,Beijing,100190,China
City Beijing
Province/State
Country/Region China
Contact name Qinghua Cui
Contact email cuiqinghua@hsc.pku.edu.cn
Data type(s)
Major organism(s)
Keyword(s)
  • lncRNA-disease association
Publication(s)
  • LncRNADisease: a database for long-non-coding RNA-associated diseases. [PMID: 23175614]

    Geng Chen, Ziyun Wang, Dongqing Wang, Chengxiang Qiu, Mingxi Liu, Xing Chen, Qipeng Zhang, Guiying Yan, Qinghua Cui
    Nucleic acids research 2013:41(Database issue)
    267 Citations (Google Scholar as of 2017-05-19)

    Abstract: 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.

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Tags

Disease RNA
Homo sapiens
lncRNA-disease association

Record metadata

  • Created on: 2015-06-20
  • Curated by:
    • Lina Ma [2017-05-19]
    • Chunlei Yu [2016-04-01]
    • Zhang Zhang [2016-03-05]
    • Lina Ma [2015-11-10]
    • Chunlei Yu [2015-06-29]
Stats