ArticleNature communications2024
Cytosine base editors with increased PAM and deaminase motif flexibility for gene editing in zebrafish.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Optimised genome editing for precise DNA insertion and substitution using prime editors in zebrafish.eLife · 2026Article
- High-efficiency TadA cytosine base editors for precise modelling of human disease variants.Nature biomedical engineering · 2026Article
- Rationally Designed TadA-Derived Cytosine Editors Enable Context-Independent Zebrafish Genome Editing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- CRISPR-based functional genomics tools in vertebrate models.Experimental & molecular medicine · 2025Review
- A comprehensive benchmark for multiple highly efficient base editors with broad targeting scope.bioRxiv : the preprint server for biology · 2025Article
- Zebrafish as a Versatile Model for Cardiovascular Research: Peering into the Heart of the Matter.Cells · 2025Review
- Sequence Context-Agnostic TadA-Derived Cytosine Base Editors for Genome-Wide Editing in Zebrafish.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Base editors in zebrafish: a new era for functional genomics and disease modeling.Frontiers in genome editing · 2025Review
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Authors and funding
14 authors.
Funding
Abstract
Cytosine base editing is a powerful tool for making precise single nucleotide changes in cells and model organisms like zebrafish, which are valuable for studying human diseases. However, current base editors struggle to edit cytosines in certain DNA contexts, particularly those with GC and CC pairs, limiting their use in modelling disease-related mutations. Here we show the development of zevoCDA1, an optimized cytosine base editor for zebrafish that improves editing efficiency across various DNA contexts and reduces restrictions imposed by the protospacer adjacent motif. We also create zevoCDA1-198, a more precise editor with a narrower editing window of five nucleotides, minimizing off-target effects. Using these advanced tools, we successfully generate zebrafish models of diseases that were previously challenging to create due to sequence limitations. This work enhances the ability to introduce human pathogenic mutations in zebrafish, broadening the scope for genomic research with improved precision and efficiency.
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