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Updated: Jun 29, 2025

Efficient PAM-Less Base Editing for Zebrafish Modeling of Human Genetic Disease with zSpRY-ABE8e
Published on: February 17, 2023
Engineering APOBEC3A deaminase for highly accurate and efficient base editing
Lei Yang1, Yanan Huo1, Man Wang1
1Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China.
Engineered cytosine base editors (CBEs) achieve highly accurate C-to-T conversions with minimal off-target effects. These precise genome editing tools show promise for treating genetic diseases.
Area of Science:
- Molecular Biology
- Genome Editing
- Biochemistry
Background:
- Cytosine base editors (CBEs) enable C-to-T conversions but face limitations due to off-target and bystander effects.
- Existing CBEs exhibit variable efficacy influenced by DNA methylation and sequence context.
Purpose of the Study:
- To engineer highly accurate and efficient adenine base editors (haA3A-CBEs) with reduced off-target activity.
- To assess the therapeutic potential of haA3A-CBEs in a mouse model of tyrosinemia.
Main Methods:
- Structure-guided engineering of human APOBEC3A (A3A) deaminase to create novel haA3A-CBE variants.
- Compatibility testing with PAM-relaxed SpCas9-NG for precise targeting of pathogenic mutations.
- In vivo delivery using adeno-associated virus (AAV) and lipid nanoparticle (LNP)-based mRNA in a mouse model.
Main Results:
- Developed haA3A-CBE variants with a narrow editing window and near-background off-target DNA and RNA activity.
- Achieved up to 58.1% editing efficiency in mouse liver tissue for tyrosinemia, with minimal bystander editing.
- LNP-based mRNA delivery further reduced off-target effects compared to AAV delivery.
Conclusions:
- Engineered haA3A-CBEs offer enhanced precision and efficiency for C-to-T base editing.
- These advanced CBEs demonstrate significant potential for developing novel therapies for genetic diseases.
- The developed system overcomes limitations of previous base editors, paving the way for clinical applications.
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