The expanding regulatory mechanisms and cellular functions of circular RNAs

2020 Nature Reviews Molecular Cell Biology 1,813 citations

Abstract

Many protein-coding genes in higher eukaryotes can produce circular RNAs (circRNAs) through back-splicing of exons. CircRNAs differ from mRNAs in their production, structure and turnover and thereby have unique cellular functions and potential biomedical applications. In this Review, I discuss recent progress in our understanding of the biogenesis of circRNAs and the regulation of their abundance and of their biological functions, including in transcription and splicing, sequestering or scaffolding of macromolecules to interfere with microRNA activities or signalling pathways, and serving as templates for translation. I further discuss the emerging roles of circRNAs in regulating immune responses and cell proliferation, and the possibilities of applying circRNA technologies in biomedical research.

Keywords

BiologyCircular RNARNA splicingBiogenesismicroRNACell biologyAlternative splicingComputational biologyExonRNAGeneGenetics

MeSH Terms

Alternative SplicingAnimalsExonsGene ExpressionGene Expression RegulationHumansMicroRNAsRNARNA SplicingRNACircularRNAMessenger

Affiliated Institutions

Related Publications

Circular RNAs Act as miRNA Sponges

Majority of RNAs expressed in animal cells lack protein-coding ability. Unlike other cellular RNAs, circular (circ)RNAs include a large family of noncoding (nc)RNAs that lack th...

2018 Advances in experimental medicine and... 1135 citations

Publication Info

Year
2020
Type
review
Volume
21
Issue
8
Pages
475-490
Citations
1813
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1813
OpenAlex
0
Influential

Cite This

Ling‐Ling Chen (2020). The expanding regulatory mechanisms and cellular functions of circular RNAs. Nature Reviews Molecular Cell Biology , 21 (8) , 475-490. https://doi.org/10.1038/s41580-020-0243-y

Identifiers

DOI
10.1038/s41580-020-0243-y
PMID
32366901

Data Quality

Data completeness: 81%