Shembrey Carolyn, Yang Ray, Casan Joshua, Hu Wenxin, Chen Honglin, Singh Gurjeet J, Sadras Teresa, Prasad Krishneel, Shortt Jake, Johnstone Ricky W, Trapani Joseph A, Ekert Paul G, Fareh Mohamed
Rosie Lew Program in Immunotherapy and Cancer Cell Death Laboratory, Peter MacCallum Cancer Centre, Melbourne 3000, Australia.
Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Melbourne 3052 Australia.
Sci Adv. 2024 Dec 20;10(51):eadl0731. doi: 10.1126/sciadv.adl0731. Epub 2024 Dec 18.
Single-nucleotide variants (SNVs) are extremely prevalent in human cancers, although most of these remain clinically unactionable. The programmable RNA nuclease CRISPR-Cas13 has been deployed to specifically target oncogenic RNAs. However, silencing oncogenic SNVs with single-base precision remains extremely challenging due to the intrinsic mismatch tolerance of Cas13. Here, we show that introducing synthetic mismatches at precise positions of the spacer sequence enables de novo design of guide RNAs [CRISPR RNAs (crRNAs)] with strong preferential silencing of point-mutated transcripts. We applied these design principles to effectively silence the oncogenic G12 hotspot, and transcripts with minimal off-target silencing of the wild-type transcripts, underscoring the adaptability of this platform to silence various SNVs. Unexpectedly, the SNV-selective crRNAs harboring mismatched nucleotides reduce the promiscuous collateral activity of the Cas13d ortholog. These findings demonstrate that the CRISPR-Cas13 system can be reprogrammed to target mutant transcripts with single-base precision, showcasing the tremendous potential of this tool in personalized transcriptome editing.
单核苷酸变体(SNV)在人类癌症中极为普遍,尽管其中大多数在临床上仍无法采取行动。可编程RNA核酸酶CRISPR-Cas13已被用于特异性靶向致癌RNA。然而,由于Cas13固有的错配耐受性,以单碱基精度沉默致癌SNV仍然极具挑战性。在这里,我们表明,在间隔序列的精确位置引入合成错配能够从头设计引导RNA [CRISPR RNA(crRNA)],从而强烈优先沉默点突变转录本。我们应用这些设计原则有效地沉默了致癌的G12热点,并且对野生型转录本的脱靶沉默最小,突出了该平台沉默各种SNV的适应性。出乎意料的是,携带错配核苷酸的SNV选择性crRNA降低了Cas13d直系同源物的混杂附带活性。这些发现表明,CRISPR-Cas13系统可以重新编程以单碱基精度靶向突变转录本,展示了该工具在个性化转录组编辑中的巨大潜力。