Evidence map›Paper›PMID 40198443›Full record

ReviewAdvanced biotechnology2025

Harnessing RNA base editing for diverse applications in RNA biology and RNA therapeutics.

Hui Luo, Jing Yao, Rui Zhang

Abstract readReview
In one paragraph

Review in Advanced biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Hui LuoMOE Key Laboratory of Gene Function and Regulation, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, PR China.
Jing YaoMOE Key Laboratory of Gene Function and Regulation, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, PR China.
Rui ZhangMOE Key Laboratory of Gene Function and Regulation, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, PR China. zhangrui3@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-9000-5021

Funding

National Key R&D Program of China 2024YFC3405900
6 · The paper itself

Abstract

Recent advancements in molecular engineering have established RNA-based technologies as powerful tools for both fundamental research and translational applications. Among the various RNA-based technologies developed, RNA base editing has recently emerged as a groundbreaking advancement. It primarily involves the conversion of adenosine (A) to inosine (I) and cytidine (C) to uridine (U), which are mediated by ADAR and APOBEC enzymes, respectively. RNA base editing has been applied in both biological research and therapeutic contexts. It enables site-directed editing within target transcripts, offering reversible, dose-dependent effects, in contrast to the permanent or heritable changes associated with DNA base editing. Additionally, RNA editing-based profiling of RNA-binding protein (RBP) binding sites facilitates transcriptome-wide mapping of RBP-RNA interactions in specific tissues and at the single-cell level. Furthermore, RNA editing-based sensors have been utilized to express effector proteins in response to specific RNA species. As RNA base editing technologies continue to evolve, we anticipate that they will significantly drive advancements in RNA therapeutics, synthetic biology, and biological research.

Indexed as

ADARAPOBECBase editingRNA binding proteinRNA editingRNA sensing

Identifiers

PMID40198443
PMCPMC11979053

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.