Evidence map›Paper›PMID 32171170›Full record

ReviewMolecular therapy. Nucleic acids2020

The Processing, Gene Regulation, Biological Functions, and Clinical Relevance of N4-Acetylcytidine on RNA: A Systematic Review.

Gehui Jin, Mingqing Xu, Mengsha Zou, Shiwei Duan

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Molecular therapy. Nucleic acids, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 164 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
164citing papers in PubMed, 11 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

164 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  17. NAT10-mediated acJournal of molecular histology · 2026
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104 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

4 authors.

Gehui JinMedical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China.
Mingqing XuBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China.
Mengsha ZouMedical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China.
Shiwei DuanMedical Genetics Center, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China. Electronic address: duanshiwei@nbu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

N4-acetylcytidine (ac4C) is often considered to be a conservative, chemically modified nucleoside present on tRNA and rRNA. Recent studies have shown extensive ac4C modifications in human and yeast mRNAs. ac4C helps to correctly read codons during translation and improves translation efficiency and the stability of mRNA. At present, the research of ac4C involves a variety of detection methods. The formation of ac4C is closely related to N-acetyltransferase 10 (NAT10) and its helpers, such as putative tRNA acetyltransferase (TAN1) for tRNA ac4C and small nucleolar RNA (snoRNA) for rRNA ac4C. Also, ac4C is associated with the development, progression, and prognosis of a variety of human diseases. Here, we summarize the history of ac4C research and the detection technologies of ac4C. We then summarized the role and mechanism of ac4C in gene-expression regulation and demonstrated the relevance of ac4C to a variety of human diseases, especially cancer. Finally, we list the future challenges of the ac4C research and demonstrate a research strategy for the interactions among several abundant modified nucleosides on mRNA.

Indexed as

acetyltransferasecancerhuman diseasesmRNA modificationsN4-acetylcytidineNAT10RNA

Identifiers

PMID32171170
PMCPMC7068197

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.