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Mathematical and computational analysis of CRISPR Cas9 sgRNA off-target homologies
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作者 Michael Zhou daisy li +3 位作者 Xiaoli Huan Joseph Manthey Ekaterina lioutikova Hong Zhou 《International Journal of Biomathematics》 2017年第6期217-230,共14页
Revolutionary in scope and application, the CRISPR Cas9 endonuclease system can be guided by 20-nt single guide RNA (sgRNA) to any complementary loci on the double- stranded DNA. Once the target site is located, Cas... Revolutionary in scope and application, the CRISPR Cas9 endonuclease system can be guided by 20-nt single guide RNA (sgRNA) to any complementary loci on the double- stranded DNA. Once the target site is located, Cas9 can then cleave the DNA and introduce mutations. Despite the power of this system, sgRNA is highly susceptible to off-target homologous attachment and can consequently cause Cas9 to cleave DNA at off- target sites. In order to better understand this flaw in the system, the human genome and Streptococcus pyogenes Cas9 (SpCas9) were used in a mathematical and computational study to analyze the probabilities of potential sgRNA off-target homologies. It has been concluded that off-target sites are nearly unavoidable for large-size genomes, such as the human genome. Backed by mathematical analysis, a viable solution is the double-nicking method which has the promise for genome editing specificity. Also applied in this study was a computational algorithm for off-target homology search that was implemented in Java to confirm the mathematical analysis. 展开更多
关键词 sgRNA CRISPR Cas9 off-target homology.
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