Evidence map›Paper›PMID 42477347›Full record

ArticleNature communications2026

Incorporating AI-optimized zinc finger proteins enhances the efficiencies and targeting ranges of miniature base editors.

Qianyue Huang, Dian Yang, Xibin Zhou, Geng Li, Weikuan Liu, Xiaoqi Fan, Fajie Yuan, Xing Chang

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Qianyue Huang *College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0009-0001-4346-9891
Dian Yang *College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
Xibin ZhouSchool of Engineering, Westlake University, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0009-0007-8879-4966
Geng LiState Key Laboratory of Gene Expression, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0000-0001-6478-2732
Weikuan LiuState Key Laboratory of Gene Expression, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Xiaoqi FanState Key Laboratory of Gene Expression, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Fajie YuanSchool of Engineering, Westlake University, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0000-0001-8452-9929
Xing ChangCollege of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China. changxing@westlake.edu.cn.ORCID http://orcid.org/0000-0002-5072-9225

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2018YFA0801400Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2022YFA0807300National Natural Science Foundation of China (National Science Foundation of China) 31870927National Natural Science Foundation of China (National Science Foundation of China) 32025016National Natural Science Foundation of China (National Science Foundation of China) 82450102Science and Technology Department of Zhejiang Province 2022SDXHDX0002
6 · The paper itself

Abstract

The therapeutic application of base editors is limited by their large sizes, which are beyond the packaging capabilities of adeno-associated viral (AAV) vectors. Despite recent progress that has identified many compact CRISPR proteins, the resulting miniature base editors often exhibit reduced activities and limited targeting scope. Here, we introduce a zinc finger protein (ZFP)-enhanced miniature base editor (zmBE), which integrates programmable ZFPs to improve efficiencies and targeting scopes of miniature base editors, including those based on Un1Cas12f1 and OgeuIscB. Utilizing protein language models to optimize ZFPs designed by modular assembly further simplifies the development of zmBEs. Leveraging these methodologies, we engineer a zmBE that effectively induces the SMN2 exon 7 T:A(6) > C:G conversion, restores the exon 7 inclusion, and improves spinal muscular atrophy in a murine model after being delivered via a single AAV vector. Our study provides a versatile platform for developing miniature base editors for in vivo therapeutic applications.

Indexed as

Zinc FingersAnimalsCRISPR-Cas SystemsDependovirusExonsGenetic VectorsHEK293 CellsHumansMiceMuscular Atrophy, SpinalSurvival of Motor Neuron 2 ProteinSMN2 protein, humanSurvival of Motor Neuron 2 Protein

Identifiers

PMID42477347
PMCPMC13500529

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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.