Non-coding rna databases in cardiovascular research

Deepak Balamurali, Monika Stoll

Research output: Contribution to journalReview articlepeer-review

12 Scopus citations

Abstract

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.

Original languageEnglish
Article number35
Pages (from-to)1-13
Number of pages13
JournalNon-coding RNA
Volume6
Issue number3
DOIs
StatePublished - 2 Sep 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Funding

Funding: This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement no. 813716 (TRAIN-HEART Innovative Training Network).

FundersFunder number
Horizon 2020 Framework Programme813716

    Keywords

    • Cardiovascular diseases
    • Database
    • NcRNA
    • Non-coding

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