Department of Biology and Biochemistry, University of Houston, Houston, Texas, 77204, USA.
Center for Nuclear Receptors and Cell Signaling, University of Houston, Houston, Texas, 77204, USA.
Sci Rep. 2017 Dec 4;7(1):16836. doi: 10.1038/s41598-017-17081-y.
RNA-guided endonucleases (RGENs) have invigorated the field of site-specific nucleases. The success of Streptococcus pyogenes Cas9 (SpCas9) has led to the discovery of several other CRISPR-associated RGENs. As more RGENs become available, it will be necessary to refine their activity before they can be translated into the clinic. With this in mind, we sought to demonstrate how deep mutational scanning (DMS) could provide details about important functional regions in SpCas9 and speed engineering efforts. Consequently, we developed a nuclease screening platform which could distinguish active Cas9 mutants. We screened a library of 1.9 × 10 with over 8500 possible non-synonymous mutations and inferred the effects of each mutation using DMS. We demonstrate that the RuvC and HNH domains are the least tolerant regions to mutation. In contrast, the Rec2 and PI domains tolerate mutation better than other regions. The mutation information defined in this work provides a foundation for further SpCas9 engineering. Together, our results demonstrate how DMS can be a powerful tool to uncover features important to RGEN function. Application of this approach to emerging RGENs should enhance their engineering and optimization for therapeutic and other applications.
RNA 指导的内切酶(RGENs)为定点核酸酶领域注入了新活力。化脓性链球菌 Cas9(SpCas9)的成功催生了几种其他 CRISPR 相关的 RGENs 的发现。随着越来越多的 RGENs 可用,在将它们转化为临床应用之前,有必要对其活性进行优化。有鉴于此,我们旨在展示深度突变扫描(DMS)如何提供有关 SpCas9 中重要功能区域的详细信息,并加速工程研究。因此,我们开发了一种能够区分活性 Cas9 突变体的核酸酶筛选平台。我们筛选了一个包含超过 8500 个可能的非同义突变的 1.9×10^6^文库,并使用 DMS 推断每个突变的影响。我们证明 RuvC 和 HNH 结构域是突变最不宽容的区域。相比之下,Rec2 和 PI 结构域比其他区域更能耐受突变。这项工作中定义的突变信息为进一步的 SpCas9 工程提供了基础。总之,我们的研究结果表明,DMS 如何成为揭示 RGEN 功能重要特征的有力工具。将这种方法应用于新兴的 RGENs 应该能够增强它们在治疗和其他应用中的工程设计和优化。