Evidence map›Paper›PMID 38871818›Full record

ReviewExperimental & molecular medicine2024

Molecular mechanisms of circular RNA translation.

Hyun Jung Hwang, Yoon Ki Kim

Abstract readReview
In one paragraph

Review in Experimental & molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 1 pooled it
–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

85 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  10. 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
  11. Article
  12. Review
  13. Acta pharmaceutica Sinica. B · 2026
    Review
  14. mRNA Vaccines for Influenza: Hope for a Universal Vaccine?BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
    Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

25 more citing papers are in PubMed but not listed here.

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

2 authors.

Hyun Jung HwangDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Yoon Ki KimDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea. yk-kim@kaist.ac.kr.ORCID http://orcid.org/0000-0003-1303-072X

Funding

National Research Foundation of Korea (NRF) 2018R1A5A1024261National Research Foundation of Korea (NRF) 2022M3E5F1017965
6 · The paper itself

Abstract

Circular RNAs (circRNAs) are covalently closed single-stranded RNAs without a 5' cap structure and a 3' poly(A) tail typically present in linear mRNAs of eukaryotic cells. CircRNAs are predominantly generated through a back-splicing process within the nucleus. CircRNAs have long been considered non-coding RNAs seemingly devoid of protein-coding potential. However, many recent studies have challenged this idea and have provided substantial evidence that a subset of circRNAs can associate with polysomes and indeed be translated. Therefore, in this review, we primarily highlight the 5' cap-independent internal initiation of translation that occurs on circular RNAs. Several molecular features of circRNAs, including the internal ribosome entry site, N

Indexed as

Protein BiosynthesisRNA, CircularAnimalsHumansInternal Ribosome Entry SitesRNARNA, MessengerRNA SplicingRNA StabilityInternal Ribosome Entry SitesRNARNA, CircularRNA, Messenger

Identifiers

PMID38871818
PMCPMC11263353

What OpenQuestion holds

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Registered trials

None linked

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.