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a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database information

LncRNADisease (Database on lncRNA-disease associations)

General information

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.
Year founded: 2012
Last update: 2018-05-10
Version: v1.0
Accessibility:
Manual:
Accessible
Real time : Checking...
Country/Region: China
Data type:
RNA
Data object:
Database category:
Major organism:
Keywords:

Contact information

University/Institution: Peking University
Address: 38 Xueyuan Road,Beijing,100190,China
City: Beijing
Province/State:
Country/Region: China
Contact name (PI/Team): Qinghua Cui
Contact email (PI/Helpdesk): cuiqinghua@hsc.pku.edu.cn

Record metadata

Created on: 2015-06-20
Curated by:
[2018-11-27]
Lina Ma [2018-05-10]
Chunlei Yu [2016-04-01]
Zhang Zhang [2016-03-05]
Chunlei Yu [2015-06-29]

Ranking

All databases:
152/4656 (96.757%)
Health and medicine:
27/950 (97.263%)
152
Total Rank
405
Citations
57.857
z-index

Community reviews

Not Rated
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Word cloud

Publications

30285109
LncRNADisease 2.0: an updated database of long non-coding RNA-associated diseases. [PMID: 30285109]
Bao Z, Yang Z, Huang Z, Zhou Y, Cui Q, Dong D.

Mounting evidence suggested that dysfunction of long non-coding RNAs (lncRNAs) is involved in a wide variety of diseases. A knowledgebase with systematic collection and curation of lncRNA-disease associations is critically important for further examining their underlying molecular mechanisms. In 2013, we presented the first release of LncRNADisease, representing a database for collection of experimental supported lncRNA-disease associations. Here, we describe an update of the database. The new developments in LncRNADisease 2.0 include (i) an over 40-fold lncRNA-disease association enhancement compared with the previous version; (ii) providing the transcriptional regulatory relationships among lncRNA, mRNA and miRNA; (iii) providing a confidence score for each lncRNA-disease association; (iv) integrating experimentally supported circular RNA disease associations. LncRNADisease 2.0 documents more than 200 000 lncRNA-disease associations. We expect that this database will continue to serve as a valuable source for potential clinical application related to lncRNAs. LncRNADisease 2.0 is freely available at http://www.rnanut.net/lncrnadisease/.

Nucleic Acids Res. 2019:47(D1) | 32 Citations (from Europe PMC, 2020-08-08)
23175614
LncRNADisease: a database for long-non-coding RNA-associated diseases. [PMID: 23175614]
Chen G, Wang Z, Wang D, Qiu C, Liu M, Chen X, Zhang Q, Yan G, Cui Q.

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.

Nucleic Acids Res. 2013:41(Database issue) | 377 Citations (from Europe PMC, 2020-08-15)