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利用SABER探索Cas9的缺失图谱。

Exploring the deletion landscape of Cas9 with SABER.

作者信息

Plebanek Andrew J, Oltrogge Luke M, Terrace Cynthia I, Lukarska Maria, Khoury Maggie, Savage David F

机构信息

Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA.

Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA 94720, USA.

出版信息

bioRxiv. 2025 Aug 14:2025.08.12.669962. doi: 10.1101/2025.08.12.669962.

Abstract

Profiling tolerated amino acid deletions in proteins can elucidate structure-function relationships, reconstruct intermediate stages in protein evolution, and be used to engineer minimized versions of proteins with size-sensitive biotechnology applications. Despite advances in deletion library construction techniques over the past several decades, there are presently few methods available that are simultaneously efficient, precise, and easy to implement. Here we present SABER, a novel approach which utilizes SpRYCas9, a near-PAMless engineered SpCas9 variant, as a molecular biological tool for building deletion libraries with unprecedented speed and ease. We applied this technique to the small and structurally divergent Cas9 from (SaCas9) and mapped the set of deletions tolerated for DNA binding activity. We proceeded to use this information to design a set of minimal SaCas9-based effectors capable of CRISPRi transcriptional repression in bacterial cells. Our findings provide new insights into the function of certain structural elements in SaCas9, and we anticipate that our dSaCas9 deletion map may prove useful in further efforts to develop minimal Cas9-based effectors and gene editors.

摘要

分析蛋白质中可耐受的氨基酸缺失能够阐明结构与功能的关系,重建蛋白质进化的中间阶段,并用于构建具有尺寸敏感性的生物技术应用的最小化蛋白质版本。尽管在过去几十年中缺失文库构建技术取得了进展,但目前同时高效、精确且易于实施的方法很少。在此,我们展示了SABER,这是一种利用SpRYCas9(一种近乎无PAM的工程化SpCas9变体)作为分子生物学工具的新方法,以前所未有的速度和简便性构建缺失文库。我们将该技术应用于来自[具体来源未提及]的结构不同的小型Cas9(SaCas9),并绘制了DNA结合活性可耐受的缺失集。我们接着利用这些信息设计了一组基于最小化SaCas9的效应器,它们能够在细菌细胞中进行CRISPRi转录抑制。我们的研究结果为SaCas9中某些结构元件的功能提供了新的见解,并且我们预计我们的dSaCas9缺失图谱可能有助于进一步开发基于最小化Cas9的效应器和基因编辑器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbc2/12363808/9341bb9097f1/nihpp-2025.08.12.669962v2-f0001.jpg

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