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Efficient PAM-Less Base Editing for Zebrafish Modeling of Human Genetic Disease with zSpRY-ABE8e
Published on: February 17, 2023
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Disease modeling by efficient genome editing using a near PAM-less base editor in vivo
Marion Rosello1, Malo Serafini1, Luca Mignani2
1Sorbonne Université, INSERM U968, CNRS UMR 7210, Institut de la Vision, Paris, France.
Nature Communications
|June 14, 2022
Summary
Researchers developed a near PAM-less base editor to efficiently introduce precise point mutations in animal genomes. This innovation expands base editing capabilities for modeling human diseases, including cancer predisposition, in animal models.
Area of Science:
- Genetics
- Molecular Biology
- Genome Engineering
Background:
- Base editors enable precise point mutations in genomes but are limited by Protospacer Adjacent Motif (PAM) requirements.
- Existing base editing technologies restrict modeling human pathological mutations in animal models due to PAM site limitations.
Purpose of the Study:
- To develop a versatile base editor with expanded PAM recognition for efficient genome editing in animal models.
- To overcome limitations of current base editors for modeling human diseases by enabling precise mutations at more genomic sites.
Main Methods:
- Utilized the CBE4max-SpRY variant, a base editor with near PAM-less recognition, for high-efficiency point mutation introduction.
- Developed a co-selection method for identifying highly edited embryos via visual screening.
- Applied the enhanced base editor to create a zebrafish model for melanoma predisposition.
Main Results:
- Demonstrated high-efficiency point mutation introduction in an animal model using the CBE4max-SpRY variant.
- Successfully performed simultaneous multi-gene editing using the near PAM-less base editor.
- Established a novel zebrafish model for melanoma predisposition through multiplexed base editing.
Conclusions:
- The CBE4max-SpRY variant significantly expands the scope of base editing applications in animal models.
- This technology facilitates the creation of more accurate animal models for human genetic diseases.
- The developed methods enable efficient and scalable genome engineering for disease modeling and research.
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