An updated resource for the detection of protein-coding circRNA with CircProPlus

Protein-encoding circular RNAs (circRNAs) are newly identified RNA molecules characterized by intense interaction with translating ribosome. Emerging evidence has implicated physiological and pathological significance of these non-canonical RNAs, yet a large body of them remains unidentified. Due to limited tools at hand, we developed CircProPlus, an automated computational pipeline for de novo detection of translated circRNAs. In comparison to previously established CircPro, CircProPlus adjusts the overall workflow and integrates more robust implements for achieving easier accessibility, higher flexibility and productivity. In present study, we tested the performance of CircProPlus when using different circRNA-detecting implements (i.e., CIRI2, CirComPara2) in the evaluation of coding ability of circRNAs. Results showed that CirComPara2, a state-of-the-art algorithm, consistently outperformed CIRI2 when coupled with CircProPlus in testing real data collected from different RNA libraries and species, which highlighted its potency in data mining of circRNAs with protein-coding potential.

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Publication Details

Journal
Scientific Reports
Published
2024-08-16
DOI
https://doi.org/10.1038/s41598-024-69744-2
Citations
1
Primary Topic
Circular RNAs in diseases
Type
article
Field-Weighted Citation Impact
0.23

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article

An updated resource for the detection of protein-coding circRNA with CircProPlus

Yunchang Liu, Runjun Zhang, Gengze Wu, Liping Zeng et al.
1 citations
Scientific Reports
Circular RNAs in diseases
0.23
article

An updated resource for the detection of protein-coding circRNA with CircProPlus

Yunchang Liu, Runjun Zhang, Gengze Wu, Liping Zeng, Chunyu Zeng, Yundai Chen, Xue Gong, Miao Tian, Zheqi Xu
article en
1 citations

Abstract

Protein-encoding circular RNAs (circRNAs) are newly identified RNA molecules characterized by intense interaction with translating ribosome. Emerging evidence has implicated physiological and pathological significance of these non-canonical RNAs, yet a large body of them remains unidentified. Due to limited tools at hand, we developed CircProPlus, an automated computational pipeline for de novo detection of translated circRNAs. In comparison to previously established CircPro, CircProPlus adjusts the overall workflow and integrates more robust implements for achieving easier accessibility, higher flexibility and productivity. In present study, we tested the performance of CircProPlus when using different circRNA-detecting implements (i.e., CIRI2, CirComPara2) in the evaluation of coding ability of circRNAs. Results showed that CirComPara2, a state-of-the-art algorithm, consistently outperformed CIRI2 when coupled with CircProPlus in testing real data collected from different RNA libraries and species, which highlighted its potency in data mining of circRNAs with protein-coding potential.

Scientific ReportsVol. 14(1)
Army Medical University (CN), Chinese PLA General Hospital (CN), Daping Hospital (CN), People's Liberation Army 401 Hospital (CN), Ministry of Education (TH)
National Natural Science Foundation of China, Natural Science Foundation of Chongqing, Centre Scientifique et Technique du Bâtiment
Zero hunger
Openalex Percentile: Top 43%
Circular RNAs in diseases
0.23
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An updated resource for the detection of protein-coding circRNA with CircProPlus — Yunchang Liu, Runjun Zhang, et al. · Scientific Reports (2024) | TGRS Research Map | TGRS