Evidence map›Paper›PMID 41524770›Full record

ReviewArchives of microbiology2026

Assessing off-target effects in CRISPR/Cas9: challenges and strategies for precision DNA editing.

Abdul Basit, Jianzhong Zhu, Wanglong Zheng

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Abdul BasitCollege of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, China.
Jianzhong ZhuCollege of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, China.
Wanglong ZhengCollege of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, China. wanglongzheng@yzu.edu.cn.

Funding

Work was partly supported by the 2024 Annual Special Funds for Municipal-School Cooperation Projects of Yangzhou City (YZ2024220) and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD). YZ2024220
6 · The paper itself

Abstract

The emergence of CRISPR/Cas9 technology has transformed the landscape of gene editing, allowing for precise alterations in DNA that hold great promise for research and potential therapies. However, a significant concern is the occurrence of off-target effects, which can lead to unintended genetic modifications with potentially harmful consequences. This paper explores the nature of off-target effects in CRISPR/Cas9, discussing how they arise and their implications for the reliability of gene editing. We identify the challenges faced in detecting and predicting these off-target interactions, including limitations in current detection techniques and the complexities of cellular biology. We present strategies aimed at minimizing off-target effects, such as careful design of guide RNAs, the use of computational tools for prediction, and improved delivery methods. Through a review of case studies, we highlight successful cases where off-target activity has been significantly reduced, offering insights into best practices for enhancing the accuracy of CRISPR/Cas9 applications. Moreover, we provide a comparative overview of Cas9, Cas12, and Cas13 systems, emphasizing their distinct target specificities, mechanisms of action, and off-target profiles. This comparison offers a broader understanding of how alternative CRISPR effectors may be leveraged to improve genome and transcriptome editing precision. This study underscores the importance of continued research to address the challenges of off-target effects, ultimately supporting the development of safer and more effective gene editing methods for clinical use.

Indexed as

CRISPR-Cas SystemsGene EditingHumansRNA, Guide, CRISPR-Cas SystemsRNA, Guide, CRISPR-Cas SystemsCRISPR/Cas9DNA editingGene editing precisionGuide RNA designOff-target effects

Identifiers

What OpenQuestion holds

Textmetadata
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.