Non-Coding RNA Databases in Cardiovascular Research.
Deepak BalamuraliMonika StollPublished in: Non-coding RNA (2020)
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.
Keyphrases
- long non coding rna
- big data
- high throughput
- genome wide
- electronic health record
- nucleic acid
- cardiovascular disease
- circulating tumor
- single cell
- rna seq
- poor prognosis
- heart failure
- single molecule
- copy number
- machine learning
- cardiovascular events
- genome wide identification
- oxidative stress
- palliative care
- artificial intelligence
- metabolic syndrome
- type diabetes
- cell free
- coronary artery disease
- genome wide analysis
- small molecule
- atrial fibrillation
- gene expression
- risk assessment
- case control
- protein protein