CRISPR Cas9 sgRNA脱靶同源性的数学和计算分析

M. Zhou, Daisy Li, X. Huan, Joseph Manthey, E. Lioutikova, Hong Zhou
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引用次数: 3

摘要

被称为RNA可编程CRISPR Cas9内切酶系统的基因组编辑机制的真正力量在于,Cas9可以被引导到与20 nt RNA(单导RNA (sgRNA))互补的任何位点上,以切割双链DNA,从而允许引入所需的突变。不幸的是,sgRNA容易脱靶同源附着,从而引导Cas9在不需要的位点切割DNA序列。本文以人类基因组和化脓性链球菌Cas9 (SpCas9)为例,分析了sgRNA脱靶位点的概率,发现对于人类基因组这样的大尺度基因组,sgRNA选择的脱靶位点几乎是不可避免的。基于数学分析,双切口方法似乎是目前唯一可行的解决方案,以保证基因组编辑的特异性。实现了一种有效的脱靶同源搜索计算算法来验证数学分析。
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Mathematical and computational analysis of CRISPR Cas9 sgRNA off-target homologies
The true power of genome editing mechanism known as RNA-programmable CRISPR Cas9 endonuclease system, lies in the fact that Cas9 can be guided to any loci complementary to a 20-nt RNA, single guide RNA (sgRNA), to cleave double stranded DNA, and therefore allows the introduction of wanted mutations. Unfortunately, sgRNA is prone to off-target homologous attachment, thus guiding Cas9 to cleave DNA sequences at unwanted sites. Using human genome and Streptococcus pyogenes Cas9 (SpCas9) as the example, this article analyzed the probabilities of off-target sites of sgRNAs and discovered that for large-size genomes such as human genome, off-target sites are nearly inevitable for sgRNA selection. Based on the mathematical analysis, it seems that the double nicking approach is currently the only feasible solution to promise genome editing specificity. An effective computational algorithm for off-target homology searching is also implemented to confirm the mathematical analysis.
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