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Non-Coding RNA Databases in Cardiovascular Research

by 1 and 1,2,3,*
1
Genetic Epidemiology and Statistical Genetics, Department of Biochemistry, CARIM School for Cardiovascular Diseases, Maastricht University, 6229 ER Maastricht, The Netherlands
2
Institute of Human Genetics, Genetic Epidemiology, University of Muenster, 48149 Muenster, Germany
3
Maastricht Center for Systems Biology (MaCSBio), Maastricht University, 6229 ER Maastricht, The Netherlands
*
Author to whom correspondence should be addressed.
Non-Coding RNA 2020, 6(3), 35; https://doi.org/10.3390/ncrna6030035
Received: 5 August 2020 / Revised: 28 August 2020 / Accepted: 1 September 2020 / Published: 2 September 2020
(This article belongs to the Collection Feature Papers in Non-coding RNA)
Cardiovascular diseases (CVDs) are of multifactorial origin and can be attributed to several genetic and environmental components. CVDs are the leading cause of mortality worldwide and they primarily damage the heart and the vascular system. Non-coding RNA (ncRNA) refers to functional RNA molecules, which have been transcribed into DNA but do not further get translated into proteins. Recent transcriptomic studies have identified the presence of thousands of ncRNA molecules across species. In humans, less than 2% of the total genome represents the protein-coding genes. While the role of many ncRNAs is yet to be ascertained, some long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) have been associated with disease progression, serving as useful diagnostic and prognostic biomarkers. A plethora of data repositories specialized in ncRNAs have been developed over the years using publicly available high-throughput data from next-generation sequencing and other approaches, that cover various facets of ncRNA research like basic and functional annotation, expressional profile, structural and molecular changes, and interaction with other biomolecules. Here, we provide a compendium of the current ncRNA databases relevant to cardiovascular research. View Full-Text
Keywords: database; ncRNA; cardiovascular diseases; non-coding database; ncRNA; cardiovascular diseases; non-coding
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MDPI and ACS Style

Balamurali, D.; Stoll, M. Non-Coding RNA Databases in Cardiovascular Research. Non-Coding RNA 2020, 6, 35. https://doi.org/10.3390/ncrna6030035

AMA Style

Balamurali D, Stoll M. Non-Coding RNA Databases in Cardiovascular Research. Non-Coding RNA. 2020; 6(3):35. https://doi.org/10.3390/ncrna6030035

Chicago/Turabian Style

Balamurali, Deepak, and Monika Stoll. 2020. "Non-Coding RNA Databases in Cardiovascular Research" Non-Coding RNA 6, no. 3: 35. https://doi.org/10.3390/ncrna6030035

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