Evidence map›Paper›PMID 41390734›Full record

ArticleNature communications2025

Protein-nucleic acid language model-assisted design of precise and compact adenine base editor.

Jingxuan Ren, Jiawei Yao, Qiuyu Cao, Yinuo Li, Yang Li, Ziyi Zhang, Xiyu Ge, Shengfang Wang, Yang Zhang, Xiaogang Wang and 1 more

Abstract read
In one paragraph

Article in Nature communications, 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

11 authors.

Jingxuan Ren *State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, China.
Jiawei Yao *Guangdong Provincial Key Laboratory of Bone and Joint Degenerative Diseases, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Qiuyu Cao *State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, China.
Yinuo Li *State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, China.ORCID http://orcid.org/0009-0004-5718-1604
Yang Li *Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0003-2480-1972
Ziyi ZhangState Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, China.
Xiyu GeCenter for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0003-1372-6225
Shengfang WangGuangdong Provincial Key Laboratory of Bone and Joint Degenerative Diseases, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.ORCID http://orcid.org/0009-0001-8993-2319
Yang ZhangState Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, China. zhang@nus.edu.sg.ORCID http://orcid.org/0000-0002-2739-1916
Xiaogang WangGuangdong Provincial Key Laboratory of Bone and Joint Degenerative Diseases, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China. xiaogangwang@smu.edu.cn.
Xiaohui ZhangState Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, China. zhangxiaohui3040@126.com.ORCID http://orcid.org/0000-0002-4095-5771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adenine base editors (ABEs) are powerful tools for gene therapy. However, efficient version of ABEs (e.g. ABE8e) always induce excessive bystander and off-target editing events and are large in size, hindering their potential in clinical disease treatment. Here, we develop a pre-trained Protein-Nucleic Acid Constrained Language Model to design ABE8e with high activity, reduced editing window and decreased size. By further engineering, the smallest ABE8e- PNLM-pcABE- with a 27% size reduction, exhibits high activity, precise 3-nt editing window, and reduced off-target events near background level in HEK293T cells. Compared to ABE8e, PNLM-pcABE has up to 133.5-fold precision improvement in pathogenic mutation correction. By PNLM-pcABE, the albino mouse model carrying desired base mutation is nearly 100% obtained via zygotes microinjection and the expression of PCSK9 substantially decreases in mice receiving in vivo delivery with lipid nanoparticle (LNP), indicating their great potential in gene therapy and disease modeling.

Indexed as

AdenineGene EditingNucleic AcidsAnimalsCRISPR-Cas SystemsGenetic TherapyHEK293 CellsHumansMiceMutationNanoparticlesProprotein Convertase 9AdenineNucleic AcidsProprotein Convertase 9

Identifiers

PMID41390734
PMCPMC12714727

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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.