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LncRNADisease: a database for long-non-coding RNA-associated diseases.
Geng Chen1, Ziyun Wang, Dongqing Wang
1Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, China.
Nucleic Acids Research
|November 24, 2012
Summary
This study introduces LncRNADisease, a database detailing long-non-coding RNA (lncRNA) and disease links. It aids in understanding lncRNA roles in diseases for diagnosis and treatment.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Long-non-coding RNAs (lncRNAs) are increasingly recognized for their crucial roles in biological processes.
- Dysfunctional lncRNAs are implicated in a wide spectrum of diseases, highlighting their diagnostic and therapeutic potential.
Purpose of the Study:
- To establish a comprehensive, publicly accessible database (LncRNADisease) for lncRNA-disease associations.
- To facilitate research into the roles of lncRNAs in disease pathogenesis, diagnosis, treatment, and prognosis.
Main Methods:
- Curated approximately 480 experimentally supported lncRNA-disease associations and 478 lncRNA interacting partners.
- Annotated associations with genomic information, sequences, references, species, normalized disease names, and lncRNA dysfunction types.
- Developed and integrated a bioinformatics method for predicting novel lncRNA-disease associations.
Main Results:
- The LncRNADisease database contains curated data on 166 diseases and 1564 human lncRNAs.
- Includes detailed annotations and predicted associations, offering a valuable resource for researchers.
- Provides experimentally validated and computationally predicted links between lncRNAs and diseases.
Conclusions:
- LncRNADisease serves as a vital resource for understanding lncRNA functions in disease.
- The database and prediction method can accelerate the identification of lncRNAs for clinical applications.
- Supports advancements in precision medicine through lncRNA-based diagnostics and therapeutics.
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