Data Science Institute, University of Technology Sydney, PO Box 123, Ultimo, NSW 2007, Australia.
School of Computing, National University of Singapore, 13 Computing Drive, 117417, Singapore.
Brief Bioinform. 2021 Sep 2;22(5). doi: 10.1093/bib/bbaa396.
CRISPR/Cas9 multigene editing is an active and widely studied topic in the fields of biomedicine and biology. It involves a simultaneous participation of multiple single-guide RNAs (sgRNAs) to edit multiple target genes in a way that each gene is edited by one of these sgRNAs. There are possibly numerous sgRNA candidates capable of on-target editing on each of these genes with various efficiencies. Meanwhile, each of these sgRNA candidates may cause unwanted off-target editing at many other genes. Therefore, selection optimization of these multiple sgRNAs is demanded so as to minimize the number of sgRNAs and thus reduce the collective negative effects caused by the off-target editing. This survey reviews wet-laboratory approaches to the implementation of multigene editing and their needs of computational tools for better design. We found that though off-target editing is unavoidable during the gene editing, those disfavored cuttings by some target genes' sgRNAs can potentially become on-target editing sites for some other genes of interests. This off-to-on role conversion is beneficial to optimize the sgRNA selection in multigene editing. We present a preference cutting score to assess those beneficial off-target cutting sites, which have a few mismatches with their host genes' on-target editing sites. These potential sgRNAs can be prioritized for recommendation via ranking their on-target average cutting efficiency, the total off-target site number and their average preference cutting score. We also present case studies on cancer-associated genes to demonstrate tremendous usefulness of the new method.
CRISPR/Cas9 多基因编辑是生物医学和生物学领域中一个活跃且广泛研究的课题。它涉及多个单指导 RNA(sgRNA)的同时参与,以一种每个基因由其中一个 sgRNA 编辑的方式编辑多个靶基因。每个基因可能有许多具有不同效率的 sgRNA 候选物能够进行靶编辑。同时,这些 sgRNA 候选物中的每一个都可能在许多其他基因上引起不需要的脱靶编辑。因此,需要对这些多个 sgRNA 进行选择优化,以减少 sgRNA 的数量,从而减少脱靶编辑造成的集体负面影响。本综述回顾了实施多基因编辑的湿实验室方法及其对更好设计的计算工具的需求。我们发现,尽管在基因编辑过程中不可避免地会发生脱靶编辑,但某些靶基因 sgRNA 不偏好的切割可能潜在地成为其他感兴趣基因的靶编辑位点。这种从脱靶到靶的角色转换有利于优化多基因编辑中的 sgRNA 选择。我们提出了一个偏好切割评分来评估那些与靶基因的靶编辑位点有几个错配的有利的脱靶切割位点。通过对其靶平均切割效率、总脱靶位点数量及其平均偏好切割评分进行排序,可以优先推荐这些潜在的 sgRNA。我们还展示了一些与癌症相关基因的案例研究,以证明新方法的巨大有用性。