The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Biogenesis, identification, and function of exonic circular RNAs
Open accessAbstract
Circular RNAs (circRNAs) arise during post‐transcriptional processes, in which a single‐stranded RNA molecule forms a circle through covalent binding. Previously, circRNA products were often regarded to be splicing intermediates, by‐products, or products of aberrant splicing. But recently, rapid advances in high‐throughput RNA sequencing (RNA‐seq) for global investigation of nonco‐linear (NCL) RNAs, which comprised sequence segments that are topologically inconsistent with the reference genome, leads to renewed interest in this type of NCL RNA (i.e., circRNA), especially exonic circRNAs (ecircRNAs). Although the biogenesis and function of ecircRNAs are mostly unknown, some ecircRNAs are abundant, highly expressed, or evolutionarily conserved. Some ecircRNAs have been shown to affect microRNA regulation, and probably play roles in regulating parental gene transcription, cell proliferation, and RNA‐binding proteins, indicating their functional potential for development as diagnostic tools. To date, thousands of ecircRNAs have been identified in multiple tissues/cell types from diverse species, through analyses of RNA‐seq data. However, the detection of ecircRNA candidates involves several major challenges, including discrimination between ecircRNAs and other types of NCL RNAs (e.g., trans‐spliced RNAs and genetic rearrangements); removal of sequencing errors, alignment errors, and in vitro artifacts; and the reconciliation of heterogeneous results arising from the use of different bioinformatics methods or sequencing data generated under different treatments. Such challenges may severely hamper the understanding of ecircRNAs. Herein, we review the biogenesis, identification, properties, and function of ecircRNAs, and discuss some unanswered questions regarding ecircRNAs. We also evaluate the accuracy (in terms of sensitivity and precision) of some well‐known circRNA‐detecting methods. WIREs RNA 2015, 6:563–579. doi: 10.1002/wrna.1294 This article is categorized under: RNA Processing > Splicing Mechanisms RNA Evolution and Genomics > Computational Analyses of RNA RNA Processing > Splicing Regulation/Alternative Splicing
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Circular RNAs are a large class of animal RNAs with regulatory potency
Memczak, S., Jens, M., Elefsinioti, A., Torti, F., Krueger, J., Rybak, A., Maier, L., Mackowiak, S. D., Gregersen, L. H., Munschauer, M., et al. (2013) · Nature · doi:10.1038/nature11928 · Cited by 7,990
Natural RNA circles function as efficient microRNA sponges
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Circular RNAs are abundant, conserved, and associated with ALU repeats
Jeck, W. R., Sorrentino, J. A., Wang, K., Slevin, M. K., Burd, C. E., Liu, J., Marzluff, W. F., & Sharpless, N. E. (2013) · RNA · doi:10.1261/rna.035667.112 · Cited by 4,388
circRNA biogenesis competes with pre-mRNA splicing
Ashwal-Fluss, R., Meyer, M., Pamudurti, N. R., Ivanov, A., Bartok, O., Hanan, M., Evantal, N., Memczak, S., Rajewsky, N., & Kadener, S. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.08.019 · Cited by 3,083
Exon-intron circular RNAs regulate transcription in the nucleus
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Detecting and characterizing circular RNAs
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Circular RNAs in the Mammalian Brain Are Highly Abundant, Conserved, and Dynamically Expressed
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Circular intronic long noncoding RNAs
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Roles, Functions, and Mechanisms of Long Non-Coding RNAs in Cancer
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Zang, J., Lu, D., & Xu, A. (2020) · Journal of Neuroscience Research · doi:10.1002/jnr.24356 · Cited by 641
A comprehensive overview and evaluation of circular RNA detection tools
Zeng, X., Lin, W., Guo, M., & Zou, Q. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005420 · Cited by 346
The role of N6-methyladenosine (m6A) modification in the regulation of circRNAs
Zhang, L., Hou, C., Chen, C., Guo, Y., Yuan, W., Yin, D., Liu, J., & Sun, Z. (2020) · Molecular Cancer · doi:10.1186/s12943-020-01224-3 · Cited by 331
Self-citationStructured elements drive extensive circular RNA translation
Chen, C.-K., Cheng, R., Demeter, J., Chen, J., Weingarten-Gabbay, S., Jiang, L., Snyder, M. P., Weissman, J. S., Segal, E., Jackson, P. K., et al. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.07.042 · Cited by 316
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Metadata
- Authors
- Chen, I., Chen, C., & Chuang, T.
- Venue
- WIREs RNA
- Publisher
- Wiley
- Published
- 2015-07-31
- Volume
- 6
- Issue
- 5
- Pages
- 563-579
- ISSN
- 1757-7004 (ISSN-L)
- 1757-7012
- OpenAlex
- W1541974580
- Cited by
- 397
- References
- 70
- FWCI
- 2.58
- Type
- journal article
- Language
- en
- Open access
- hybrid
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