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Advances in detecting N6-methyladenosine modification in circRNAs
•Review on methods for detecting circRNAs, m6A, and especially m6A-modified circRNAs.•A handy brochure for researchers to see the landscape of m6A-circRNAs.•A review provides insights into developing improved m6A-circRNA detection methods. Circular RNAs (circRNAs) are a class of noncoding RNAs with...
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Published in: | Methods (San Diego, Calif.) Calif.), 2022-09, Vol.205, p.234-246 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Review on methods for detecting circRNAs, m6A, and especially m6A-modified circRNAs.•A handy brochure for researchers to see the landscape of m6A-circRNAs.•A review provides insights into developing improved m6A-circRNA detection methods.
Circular RNAs (circRNAs) are a class of noncoding RNAs with covalently single-stranded closed loop structures derived from back-splicing event of linear precursor mRNAs (pre-mRNAs). N6-methyladenosine (m6A), the most abundant epigenetic modification in eukaryotic RNAs, has been shown to play a crucial role in regulating the fate and biological function of circRNAs, and thus affecting various physiological and pathological processes. Accurate identification of m6A modification in circRNAs is an essential step to fully elucidate the crosstalk between m6A and circRNAs. In recent years, the rapid development of high-throughput sequencing technology and bioinformatic methodology has propelled the establishment of a multitude of approaches to detect circRNAs and m6A modification, including in vitro-based and in silico methods. Based on this, the research community has started on a new journey to develop methods for identification of m6A modification in circRNAs. In this review, we provide a comprehensive review and evaluation of the existing methods responsible for detecting circRNAs, m6A modification, and especially, m6A modification in circRNAs, which mainly focused on those developed based on high-throughput technologies and methodology of bioinformatics. This handy reference can help researchers figure out towards which direction this field will go. |
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ISSN: | 1046-2023 1095-9130 |
DOI: | 10.1016/j.ymeth.2022.07.011 |