Title |
CRISPR-SKIP: programmable gene splicing with single base editors
|
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Published in |
Genome Biology, August 2018
|
DOI | 10.1186/s13059-018-1482-5 |
Pubmed ID | |
Authors |
Michael Gapinske, Alan Luu, Jackson Winter, Wendy S. Woods, Kurt A. Kostan, Nikhil Shiva, Jun S. Song, Pablo Perez-Pinera |
Abstract |
CRISPR gene editing has revolutionized biomedicine and biotechnology by providing a simple means to engineer genes through targeted double-strand breaks in the genomic DNA of living cells. However, given the stochasticity of cellular DNA repair mechanisms and the potential for off-target mutations, technologies capable of introducing targeted changes with increased precision, such as single-base editors, are preferred. We present a versatile method termed CRISPR-SKIP that utilizes cytidine deaminase single-base editors to program exon skipping by mutating target DNA bases within splice acceptor sites. Given its simplicity and precision, CRISPR-SKIP will be broadly applicable in gene therapy and synthetic biology. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 20 | 27% |
United Kingdom | 7 | 9% |
Australia | 4 | 5% |
Germany | 4 | 5% |
Switzerland | 3 | 4% |
Canada | 3 | 4% |
Spain | 3 | 4% |
France | 2 | 3% |
Comoros | 1 | 1% |
Other | 6 | 8% |
Unknown | 22 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 44 | 59% |
Scientists | 25 | 33% |
Practitioners (doctors, other healthcare professionals) | 5 | 7% |
Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 311 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 68 | 22% |
Researcher | 51 | 16% |
Student > Bachelor | 36 | 12% |
Student > Master | 24 | 8% |
Student > Doctoral Student | 13 | 4% |
Other | 42 | 14% |
Unknown | 77 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 107 | 34% |
Agricultural and Biological Sciences | 63 | 20% |
Medicine and Dentistry | 12 | 4% |
Immunology and Microbiology | 8 | 3% |
Neuroscience | 8 | 3% |
Other | 27 | 9% |
Unknown | 86 | 28% |