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Heritable and Precise Zebrafish Genome Editing Using a CRISPR-Cas System

Overview of attention for article published in PLOS ONE, July 2013
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Title
Heritable and Precise Zebrafish Genome Editing Using a CRISPR-Cas System
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0068708
Pubmed ID
Authors

Woong Y. Hwang, Yanfang Fu, Deepak Reyon, Morgan L. Maeder, Prakriti Kaini, Jeffry D. Sander, J. Keith Joung, Randall T. Peterson, Jing-Ruey Joanna Yeh

Abstract

We have previously reported a simple and customizable CRISPR (clustered regularly interspaced short palindromic repeats) RNA-guided Cas9 nuclease (RGN) system that can be used to efficiently and robustly introduce somatic indel mutations in endogenous zebrafish genes. Here we demonstrate that RGN-induced mutations are heritable, with efficiencies of germline transmission reaching as high as 100%. In addition, we extend the power of the RGN system by showing that these nucleases can be used with single-stranded oligodeoxynucleotides (ssODNs) to create precise intended sequence modifications, including single nucleotide substitutions. Finally, we describe and validate simple strategies that improve the targeting range of RGNs from 1 in every 128 basepairs (bps) of random DNA sequence to 1 in every 8 bps. Together, these advances expand the utility of the CRISPR-Cas system in the zebrafish beyond somatic indel formation to heritable and precise genome modifications.

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Geographical breakdown

Country Count As %
United States 7 1%
United Kingdom 4 <1%
Japan 3 <1%
China 3 <1%
France 2 <1%
Denmark 2 <1%
Germany 2 <1%
Portugal 2 <1%
Finland 1 <1%
Other 6 <1%
Unknown 646 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 158 23%
Researcher 121 18%
Student > Bachelor 87 13%
Student > Master 85 13%
Student > Doctoral Student 32 5%
Other 95 14%
Unknown 100 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 320 47%
Biochemistry, Genetics and Molecular Biology 159 23%
Medicine and Dentistry 31 5%
Neuroscience 18 3%
Engineering 8 1%
Other 36 5%
Unknown 106 16%