Evidence map›Paper›PMID 32007626›Full record

ArticleGenomics, proteomics & bioinformatics2019

CircAST: Full-length Assembly and Quantification of Alternatively Spliced Isoforms in Circular RNAs.

Jing Wu, Yan Li, Cheng Wang, Yiqiang Cui, Tianyi Xu, Chang Wang, Xiao Wang, Jiahao Sha, Bin Jiang, Kai Wang and 3 more

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
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  6. CircAI: a comprehensive database of CircRNA associated with A-to-I RNA editing.Database : the journal of biological databases and curation · 2025
    Article
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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

13 authors.

Jing WuDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China; School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China.
Yan LiState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China; Center of Pathology and Clinical Laboratory, Sir Run Run Hospital, Nanjing Medical University, Nanjing 211166, China.
Cheng WangState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China.
Yiqiang CuiState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China.
Tianyi XuDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Chang WangState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China.
Xiao WangDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Jiahao ShaState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China.
Bin JiangDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Kai WangCenter for Cellular and Molecular Therapeutic, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Zhibin HuState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China. Electronic address: zhibin_hu@njmu.edu.cn.
Xuejiang GuoState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China. Electronic address: guo_xuejiang@njmu.edu.cn.
Xiaofeng SongDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China. Electronic address: xfsong@nuaa.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circular RNAs (circRNAs), covalently closed continuous RNA loops, are generated from cognate linear RNAs through back splicing events, and alternative splicing events may generate different circRNA isoforms at the same locus. However, the challenges of reconstruction and quantification of alternatively spliced full-length circRNAs remain unresolved. On the basis of the internal structural characteristics of circRNAs, we developed CircAST, a tool to assemble alternatively spliced circRNA transcripts and estimate their expression by using multiple splice graphs. Simulation studies showed that CircAST correctly assembled the full sequences of circRNAs with a sensitivity of 85.63%-94.32% and a precision of 81.96%-87.55%. By assigning reads to specific isoforms, CircAST quantified the expression of circRNA isoforms with correlation coefficients of 0.85-0.99 between theoretical and estimated values. We evaluated CircAST on an in-house mouse testis RNA-seq dataset with RNase R treatment for enriching circRNAs and identified 380 circRNAs with full-length sequences different from those of their corresponding cognate linear RNAs. RT-PCR and Sanger sequencing analyses validated 32 out of 37 randomly selected isoforms, thus further indicating the good performance of CircAST, especially for isoforms with low abundance. We also applied CircAST to published experimental data and observed substantial diversity in circular transcripts across samples, thus suggesting that circRNA expression is highly regulated. CircAST can be accessed freely at https://github.com/xiaofengsong/CircAST.

Indexed as

User-Computer InterfaceAlgorithmsAlternative SplicingAnimalsCarrier ProteinsMaleMiceProtein IsoformsRNA, CircularSequence Analysis, RNATestisCarrier ProteinsEHD2-binding protein 1, mouseProtein IsoformsRNA, CircularCircular RNAFull-length reconstructionIsoform quantificationMultiple splice graph modelTranscriptome

Identifiers

PMID32007626
PMCPMC7056934

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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.