Evidence map›Paper›PMID 41872323›Full record

ArticleNature biomedical engineering2026

Template-independent genome editing and restoration for correcting frameshift disorders.

Shiwei Qiu, Lian Liu, Bin Xiang, Ziqin Jin, Yahong Li, Dong Li, Hanqing Hou, Kuan Li, Gege Wei, Jiangping Xie and 6 more

Abstract read
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In one paragraph

Article in Nature biomedical engineering, 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

16 authors.

Shiwei Qiu *School of Life Sciences, Tsinghua University, Beijing, China.
Lian Liu *School of Life Sciences, Shandong University, Qingdao, China.
Bin Xiang *Beijing Institute for Brain Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ziqin JinBeijing Institute for Brain Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID http://orcid.org/0009-0004-5309-1054
Yahong LiBeijing Institute for Brain Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Dong LiSchool of Life Sciences, Tsinghua University, Beijing, China.
Hanqing HouSchool of Life Sciences, Tsinghua University, Beijing, China.
Kuan LiSchool of Life Sciences, Tsinghua University, Beijing, China.
Gege WeiBeijing Institute for Brain Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jiangping XieBeijing Institute for Brain Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shang LiSchool of Life Sciences, Tsinghua University, Beijing, China.
Shuang LiuSchool of Life Sciences, Tsinghua University, Beijing, China.
Chunlai ChenSchool of Life Sciences, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-0128-7766
Xin LiangSchool of Life Sciences, Tsinghua University, Beijing, China.
Qianwen SunSchool of Life Sciences, Tsinghua University, Beijing, China.
Wei XiongBeijing Institute for Brain Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. wei_xiong@cibr.ac.cn.ORCID http://orcid.org/0000-0002-2784-7696

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2021ZD0203304National Natural Science Foundation of China (National Science Foundation of China) U23A20442
6 · The paper itself

Abstract

Frameshift mutations, responsible for >20% of Mendelian inherited diseases, pose substantial therapeutic challenges. Here we developed Template-Independent Genome Editing for Restoration (TIGER), a platform for the efficient and precise correction of frameshift mutations across various models. By identifying reproducible nucleotide-level factors that influence therapeutic efficacy across cells and tissues, we developed a scoring system for guide RNA (gRNA)-Cas9 outcomes. Approximately 75% of deletion and 50% of insertion mutations produced ≥30% in-frame products, sufficient for phenotypic restoration, with 38% and 65% achieving wild-type correction, respectively. To expand the applicability of TIGER across species and genome wide, we retrained the inDelphi algorithm to predict therapeutic gRNAs for single-nucleotide frameshifts. In a mouse model of deafness, delivery of SpCas9 and optimal gRNA via dual adeno-associated virus restored hearing thresholds to wild-type levels, with ~90% of in-frame edits being wild type. TIGER provides a robust and broadly applicable strategy for in vivo correction of inherited frameshift diseases.

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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.