Evidence map›Paper›PMID 39672985›Full record

ArticleNature biomedical engineering2025

Efficient circular RNA synthesis for potent rolling circle translation.

Yifei Du, Philipp Konrad Zuber, Huajuan Xiao, Xueyan Li, Yuliya Gordiyenko, V Ramakrishnan

Abstract read
In one paragraph

Article in Nature biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
  2. Review
  3. PRNA (New York, N.Y.) · 2026
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  8. IVT-free, chemically synthesized protein-encoding RNA oligonucleotides for rapid production of personalized cancer vaccines.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  12. Review
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  17. Review
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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

6 authors.

Yifei DuMRC Laboratory of Molecular Biology, Cambridge, UK. yifei.du18@gmail.com.ORCID http://orcid.org/0000-0002-9362-8766
Philipp Konrad ZuberMRC Laboratory of Molecular Biology, Cambridge, UK.
Huajuan XiaoIndependent researcher, Cambridge, UK.
Xueyan LiMRC Laboratory of Molecular Biology, Cambridge, UK.
Yuliya GordiyenkoMRC Laboratory of Molecular Biology, Cambridge, UK.
V RamakrishnanMRC Laboratory of Molecular Biology, Cambridge, UK. ramak@mrc-lmb.cam.ac.uk.ORCID http://orcid.org/0000-0002-4699-2194

Funding

China Postdoctoral Science Foundation PC2021083European Molecular Biology Organization (EMBO) ALTF 778-2021Leverhulme Trust ECF-2022-525RCUK | Medical Research Council (MRC) MC_U105184332Wellcome TrustWellcome Trust (Wellcome) WT096570
6 · The paper itself

Abstract

Circular RNA (circRNA) is a candidate for next-generation messenger RNA therapeutics owing to its remarkable stability. Here we describe trans-splicing-based methods for the synthesis of circRNAs over 8,000 nucleotides. The methods are independent of bacterial sequences, outperform the permuted intron-exon method and allow for the incorporation of RNA modifications. The resulting unmodified circRNAs, which incorporate sequences from human 28S ribosomal RNA, display low immunogenicity and are translated more efficiently than permuted intron-exon-derived circRNAs. Additionally, by using viral internal ribosomal entry sites for rolling circle translation, we show that ribosomes can efficiently read through highly structured internal ribosomal entry sites, enhancing the efficiency of rolling circle translation by over 7,000-fold with respect to previous constructs. The efficient and reliable production of circRNA may facilitate its therapeutic use.

Indexed as

Protein BiosynthesisRNARNA, CircularExonsHEK293 CellsHumansInternal Ribosome Entry SitesIntronsRibosomesTrans-SplicingInternal Ribosome Entry SitesRNARNA, Circular

Identifiers

PMID39672985
PMCPMC12270912

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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.