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Updated: Sep 23, 2025

Using Sniper-Cas9 to Minimize Off-target Effects of CRISPR-Cas9 Without the Loss of On-target Activity Via Directed Evolution
Published on: February 26, 2019
ExsgRNA: reduce off-target efficiency by on-target mismatched sgRNA
Wei-Xin Hu1, Yu Rong1, Yan Guo1
1Biomedical Informatics & Genomics Center, Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China.
This study introduces a new method for designing single-guide RNA (sgRNA) for CRISPR/Cas9 gene editing by incorporating on-target mismatches. This approach generates effective sgRNAs with reduced off-target effects, improving genome editing precision.
Area of Science:
- Molecular Biology
- Genetics
- Bioinformatics
Background:
- CRISPR/Cas9 is a powerful gene editing tool.
- Existing sgRNA design tools overlook on-target mismatches, potentially leading to off-target mutations.
- On-target mismatches may offer a strategy for enhanced sgRNA design.
Purpose of the Study:
- To develop a novel method for generating sgRNAs that include on-target mismatches.
- To evaluate the efficacy and specificity of sgRNAs with on-target mismatches.
- To create a user-friendly web server for designing such sgRNAs.
Main Methods:
- A seq2seq-attention model with a feedback-loop architecture was trained to generate sgRNAs with on-target mismatches.
- Dual-luciferase reporter assays were used to assess sgRNA activity.
- Off-target sites were analyzed to evaluate specificity.
Main Results:
- Generated sgRNAs with three on-target mismatches retained approximately 80% of the activity of perfect-matched sgRNAs.
- The use of sgRNAs with on-target mismatches significantly reduced the number of off-target sites.
- A web server, ExsgRNA, was developed for designing optimal sgRNAs.
Conclusions:
- Incorporating on-target mismatches into sgRNA design is a viable strategy for improving CRISPR/Cas9 specificity.
- The ExsgRNA tool provides an accessible platform for designing more precise gene editing tools.
- This approach balances on-target activity with reduced off-target effects for enhanced genome editing.
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