Programmable base editing of zebrafish genome using a modified CRISPR-Cas9 system
Open Access
- 25 July 2017
- journal article
- research article
- Published by Springer Science and Business Media LLC in Nature Communications
- Vol. 8 (1), 1-5
- https://doi.org/10.1038/s41467-017-00175-6
Abstract
Precise genetic modifications in model animals are essential for biomedical research. Here, we report a programmable “base editing” system to induce precise base conversion with high efficiency in zebrafish. Using cytidine deaminase fused to Cas9 nickase, up to 28% of site-specific single-base mutations are achieved in multiple gene loci. In addition, an engineered Cas9-VQR variant with 5′-NGA PAM specificities is used to induce base conversion in zebrafish. This shows that Cas9 variants can be used to expand the utility of this technology. Collectively, the targeted base editing system represents a strategy for precise and effective genome editing in zebrafish.This publication has 23 references indexed in Scilit:
- Genome editing using CRISPR/Cas9-based knock-in approaches in zebrafishMethods, 2017
- Highly efficient RNA-guided base editing in mouse embryosNature Biotechnology, 2017
- Precise base editing in rice, wheat and maize with a Cas9-cytidine deaminase fusionNature Biotechnology, 2017
- Targeted nucleotide editing using hybrid prokaryotic and vertebrate adaptive immune systemsScience, 2016
- Expanding CRISPR/Cas9 Genome Editing Capacity in Zebrafish Using SaCas9G3 Genes|Genomes|Genetics, 2016
- Sequence analysis of tyrosinase gene in ocular and oculocutaneous albinism patients: introducing three novel mutations2015
- Recurrent Mutations in the Basic Domain of TWIST2 Cause Ablepharon Macrostomia and Barber-Say SyndromesAmerican Journal of Human Genetics, 2015
- Highly efficient CRISPR/Cas9-mediated knock-in in zebrafish by homology-independent DNA repairGenome Research, 2013
- Highly Efficient Targeted Mutagenesis of Drosophila with the CRISPR/Cas9 SystemCell Reports, 2013
- In vivo genome editing using a high-efficiency TALEN systemNature, 2012