Evidence map›Paper›PMID 39152148›Full record

ArticleScientific reports2024

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

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

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xue Gong *Department of Cardiology, The Sixth Medical Centre, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Yunchang Liu *Department of Cardiology, Daping Hospital, The Third Military Medical University (Army Medical University), Chongqing, 400042, People's Republic of China.
Gengze Wu *Department of Cardiology, Daping Hospital, The Third Military Medical University (Army Medical University), Chongqing, 400042, People's Republic of China.
Zheqi Xu *Department of Pharmacy, The Third Affiliated Hospital of Naval Medical University, Shanghai, China.
Liping ZengDepartment of Cardiology, Daping Hospital, The Third Military Medical University (Army Medical University), Chongqing, 400042, People's Republic of China.
Miao TianDepartment of Cardiology, Daping Hospital, The Third Military Medical University (Army Medical University), Chongqing, 400042, People's Republic of China.
Runjun ZhangDepartment of Cardiology, No. 926 Hospital, Joint Logistics Support Force of PLA, Yunnan, People's Republic of China.
Chunyu ZengDepartment of Cardiology, Daping Hospital, The Third Military Medical University (Army Medical University), Chongqing, 400042, People's Republic of China.
Yundai ChenDepartment of Cardiology, The Sixth Medical Centre, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China. cyundai@163.vip.com.

Funding

National Natural Science Foundation of China 82100378National Natural Science Foundation of China 82204379National Natural Science Foundation of China 82300507Natural Science Foundation of Chongqing Municipality CSTB2022NSCQ-LZX0037Shanghai Sailing Program No. 21YF1458400
6 · The paper itself

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.

Indexed as

AlgorithmsRNA, CircularComputational BiologyHumansSoftwareRNA, CircularcircRNAsCodingPipelineRibosome

Identifiers

PMID39152148
PMCPMC11329775

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.