Title |
Heritable and Precise Zebrafish Genome Editing Using a CRISPR-Cas System
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Published in |
PLOS ONE, July 2013
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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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Spain | 1 | 17% |
Canada | 1 | 17% |
Ireland | 1 | 17% |
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Unknown | 2 | 33% |
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Scientists | 2 | 33% |
Mendeley readers
Geographical breakdown
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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 % |
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Researcher | 121 | 18% |
Student > Bachelor | 87 | 13% |
Student > Master | 85 | 13% |
Student > Doctoral Student | 32 | 5% |
Other | 95 | 14% |
Unknown | 100 | 15% |
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Biochemistry, Genetics and Molecular Biology | 159 | 23% |
Medicine and Dentistry | 31 | 5% |
Neuroscience | 18 | 3% |
Engineering | 8 | 1% |
Other | 36 | 5% |
Unknown | 106 | 16% |