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Long non-coding RNA Databases in Cardiovascular Research.

Authors
  • Rühle, Frank1
  • Stoll, Monika2
  • 1 Institute of Human Genetics, Genetic Epidemiology, University of Muenster, 48149 Muenster, Germany. , (Germany)
  • 2 Institute of Human Genetics, Genetic Epidemiology, University of Muenster, 48149 Muenster, Germany; Cardiovascular Research Institute Maastricht (CARIM), Genetic Epidemiology and Statistical Genetics, Maastricht Center for Systems Biology (MaCSBio), Maastricht University, 6211 LK Maastricht, The Netherlands. Electronic address: [email protected] , (Germany)
Type
Published Article
Journal
Genomics, proteomics & bioinformatics
Publication Date
Aug 01, 2016
Volume
14
Issue
4
Pages
191–199
Identifiers
DOI: 10.1016/j.gpb.2016.03.001
PMID: 27049585
Source
Medline
Keywords
License
Unknown

Abstract

With the rising interest in the regulatory functions of long non-coding RNAs (lncRNAs) in complex human diseases such as cardiovascular diseases, there is an increasing need in public databases offering comprehensive and integrative data for all aspects of these versatile molecules. Recently, a variety of public data repositories that specialized in lncRNAs have been developed, which make use of huge high-throughput data particularly from next-generation sequencing (NGS) approaches. Here, we provide an overview of current lncRNA databases covering basic and functional annotation, lncRNA expression and regulation, interactions with other biomolecules, and genomic variants influencing the structure and function of lncRNAs. The prominent lncRNA antisense noncoding RNA in the INK4 locus (ANRIL), which has been unequivocally associated with coronary artery disease through genome-wide association studies (GWAS), serves as an example to demonstrate the features of each individual database.

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