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DIGITAL.CSIC
Article . 2024 . Peer-reviewed
Data sources: DIGITAL.CSIC
Cold Spring Harbor Protocols
Article . 2016 . Peer-reviewed
Data sources: Crossref
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Optimized CRISPR–Cas9 System for Genome Editing in Zebrafish

Authors: Vejnar, Charles E.; Moreno-Mateos, Miguel A.; Cifuentes, Daniel; Bazzini, Ariel A.; Giraldez, Antonio J.;

Optimized CRISPR–Cas9 System for Genome Editing in Zebrafish

Abstract

This protocol describes how to generate and genotype mutants using an optimized CRISPR–Cas9 genome-editing system in zebrafish (CRISPRscan). Because single guide RNAs (sgRNAs) have variable efficiency when targeting specific loci, our protocol starts by explaining how to use the web tool CRISPRscan to design highly efficient sgRNAs. The CRISPRscan algorithm is based on the results of an integrated analysis of more than 1000 sgRNAs in zebrafish, which uncovered highly predictive factors that influence Cas9 activity. Next, we describe how to easily generate sgRNAs in vitro, which can then be injected in vivo to target specific loci. The use of highly efficient sgRNAs can lead to biallelic mutations in the injected embryos, causing lethality. We explain how targeting Cas9 to the germline increases viability by reducing somatic mutations. Finally, we combine two methods to identify F1 heterozygous fish carrying the desired mutations: (i) Mut-Seq, a method based on high-throughput sequencing to detect F0 founder fish; and (ii) a polymerase chain reaction–based fragment analysis method that identifies F1 heterozygous fish characterized by Mut-Seq. In summary, this protocol includes the steps to generate and characterize mutant zebrafish lines using the CRISPR–Cas9 genome engineering system.

Country
Spain
Related Organizations
Keywords

Gene Editing, Genotyping Techniques, Animals, Computational Biology, CRISPR-Cas Systems, RNA, Guide, CRISPR-Cas Systems, Endonucleases, Zebrafish

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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79
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