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Non-Coding RNA Databases in Cardiovascular Research

Deepak Balamurali1, Monika Stoll1,2,3

  • 1Genetic Epidemiology and Statistical Genetics, Department of Biochemistry, CARIM School for Cardiovascular Diseases, Maastricht University, 6229 ER Maastricht, The Netherlands.

Non-Coding RNA
|September 5, 2020
PubMed

Insights

Non-coding RNAs (ncRNAs) are crucial in cardiovascular diseases (CVDs). This study compiles ncRNA databases, offering valuable resources for understanding CVDs and identifying diagnostic biomarkers.

Area of Science:

  • Genomics
  • Molecular Biology
  • Cardiovascular Research

Background:

  • Cardiovascular diseases (CVDs) are a leading global cause of mortality, stemming from genetic and environmental factors.
  • Non-coding RNAs (ncRNAs), transcribed but not translated into proteins, represent a vast, under-explored portion of the human genome.
  • Specific ncRNAs, such as long non-coding RNAs (lncRNAs) and microRNAs (miRNAs), are increasingly recognized for their roles in disease progression and as potential biomarkers.

Purpose of the Study:

  • To provide a comprehensive overview of existing non-coding RNA databases.
  • To highlight resources relevant for cardiovascular research.
  • To facilitate the identification and utilization of ncRNAs as diagnostic and prognostic markers for CVDs.

Main Methods:

  • Systematic review and compilation of publicly available ncRNA databases.
  • Focus on databases utilizing high-throughput sequencing data.
  • Inclusion of databases covering annotation, expression, structure, and interactions of ncRNAs.

Main Results:

  • Identification of numerous ncRNA databases.
  • Categorization of databases based on research facets (annotation, expression, etc.).
  • Emphasis on the utility of these databases for cardiovascular research.

Conclusions:

  • ncRNA databases are essential resources for advancing cardiovascular research.
  • These databases can aid in discovering novel ncRNA biomarkers for CVD diagnosis and prognosis.
  • Further exploration of ncRNA databases will enhance our understanding of CVD pathogenesis.

Keywords:
cardiovascular diseasesdatabasencRNAnon-coding

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