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lncRNA - Long Non-coding RNAs02:39

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Long non-coding RNA Databases in Cardiovascular Research.

Frank Rühle1, Monika Stoll2

  • 1Institute of Human Genetics, Genetic Epidemiology, University of Muenster, 48149 Muenster, Germany.

Genomics, Proteomics & Bioinformatics
|April 7, 2016
PubMed
Summary
This summary is machine-generated.

Public databases now offer comprehensive data on long non-coding RNAs (lncRNAs), crucial for understanding complex diseases like cardiovascular disease. These resources integrate diverse information, aiding research into lncRNA functions and regulation.

Keywords:
ANRILCardiovascular diseaseDatabaseGene regulationNon-codinglncRNA

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Area of Science:

  • Genomics and Molecular Biology
  • Bioinformatics and Computational Biology
  • Cardiovascular Disease Research

Background:

  • Long non-coding RNAs (lncRNAs) play significant regulatory roles in complex human diseases, including cardiovascular diseases.
  • The increasing volume of high-throughput sequencing data necessitates specialized public databases for lncRNA research.
  • Existing repositories are crucial for consolidating and analyzing diverse lncRNA-related information.

Purpose of the Study:

  • To provide an overview of current public databases for long non-coding RNAs (lncRNAs).
  • To highlight the types of data available, including annotation, expression, regulation, interactions, and genomic variants.
  • To demonstrate database utility using the example of antisense noncoding RNA in the INK4 locus (ANRIL) and its association with coronary artery disease.

Main Methods:

  • Review and curation of existing public lncRNA databases.
  • Analysis of data types offered by these databases, encompassing functional annotation, expression, regulation, and interactions.
  • Case study utilizing the lncRNA ANRIL, known for its association with coronary artery disease via genome-wide association studies (GWAS).

Main Results:

  • Identification and description of multiple public databases specializing in lncRNAs.
  • Categorization of database content, covering basic and functional annotation, expression, regulation, biomolecular interactions, and genomic variants.
  • Demonstration of how specific databases can be used to explore the characteristics and disease associations of lncRNAs like ANRIL.

Conclusions:

  • Publicly available lncRNA databases are essential resources for researchers investigating the roles of lncRNAs in human health and disease.
  • These databases integrate diverse data types, facilitating a comprehensive understanding of lncRNA biology.
  • The availability of such resources supports advancements in areas like cardiovascular disease research through detailed analysis of specific lncRNAs.