PUBLICATION

Improved selection of zebrafish CRISPR editing by early next-generation sequencing based genotyping

Authors
Sieliwonczyk, E., Vandendriessche, B., Claes, C., Mayeur, E., Alaerts, M., Holmgren, P., Canter Cremers, T., Snyders, D., Loeys, B., Schepers, D.
ID
ZDB-PUB-230129-2
Date
2023
Source
Scientific Reports   13: 14911491 (Journal)
Registered Authors
Keywords
none
MeSH Terms
  • Animals
  • CRISPR-Cas Systems*/genetics
  • Gene Editing*/methods
  • Genotype
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Zebrafish/genetics
PubMed
36707549 Full text @ Sci. Rep.
Abstract
Despite numerous prior attempts to improve knock-in (KI) efficiency, the introduction of precise base pair substitutions by the CRISPR-Cas9 technique in zebrafish remains challenging. In our efforts to generate KI zebrafish models of human CACNA1C mutations, we have tested the effect of several CRISPR determinants on KI efficiency across two sites in a single gene and developed a novel method for early selection to ameliorate KI efficiency. We identified optimal KI conditions for Cas9 protein and non-target asymmetric PAM-distal single stranded deoxynucleotide repair templates at both cacna1c sites. An effect of distance to the cut site on the KI efficiency was only observed for a single repair template conformation at one of the two sites. By combining minimally invasive early genotyping with the zebrafish embryo genotyper (ZEG) device and next-generation sequencing, we were able to obtain an almost 17-fold increase in somatic editing efficiency. The added benefit of the early selection procedure was particularly evident for alleles with lower somatic editing efficiencies. We further explored the potential of the ZEG selection procedure for the improvement of germline transmission by demonstrating germline transmission events in three groups of pre-selected embryos.
Genes / Markers
Figures
Show all Figures
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping