Long non-coding RNA Databases in Cardiovascular Research

被引:0
|
作者
Frank Rühle [1 ]
Monika Stoll [1 ,2 ]
机构
[1] Institute of Human Genetics, Genetic Epidemiology, University of Muenster
[2] Cardiovascular Research Institute Maastricht (CARIM), Genetic Epidemiology and Statistical Genetics, Maastricht Center for Systems Biology (MaCSBio), Maastricht University
关键词
Database; Non-coding; lnc RNA; Gene regulation; Cardiovascular disease; ANRIL;
D O I
暂无
中图分类号
R54 [心脏、血管(循环系)疾病];
学科分类号
1002 ; 100201 ;
摘要
With the rising interest in the regulatory functions of long non-coding RNAs(lnc RNAs)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 lnc RNAs 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 lnc RNA databases covering basic and functional annotation, lnc RNA expression and regulation, interactions with other biomolecules, and genomic variants in?uencing the structure and function of lnc RNAs. The prominent lnc RNA 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.
引用
收藏
页码:191 / 199
页数:9
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