Chou Juihsuan, Esmaeili Anvar Nazanin, Elghaish Reem, Chen Junjie, Hart Traver
Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
The UT Health/MD Anderson Graduate School of Biological Sciences, Houston, TX, USA.
Genome Biol. 2025 Jul 2;26(1):188. doi: 10.1186/s13059-025-03660-0.
Genetic screens offer a promising strategy for identifying tumor-specific therapeutic targets, but single-gene knockout screens often miss functionally redundant paralogs. Multiplex Cas9 and Cas12a CRISPR systems have been deployed to assay genetic interactions, but analysis pipelines vary considerably. Here we evaluate data from four in4mer CRISPR/Cas12a screens in cancer cell lines, using delta log fold change, Z-transformed dLFC, and rescaled dLFC approaches to identify synthetic lethal interactions. Both ZdLFC and RdLFC provide more consistent identification of synthetic lethal pairs across cell lines compared to the unscaled dLFC method, while ZdLFC benefits from not requiring a training set of known interactors.
基因筛选为识别肿瘤特异性治疗靶点提供了一种很有前景的策略,但单基因敲除筛选往往会遗漏功能冗余的旁系同源基因。多重Cas9和Cas12a CRISPR系统已被用于分析基因相互作用,但分析流程差异很大。在这里,我们评估了来自癌细胞系中四个CRISPR/Cas12a筛选的四倍体数据,使用delta对数倍变化、Z变换dLFC和重新缩放的dLFC方法来识别合成致死相互作用。与未缩放的dLFC方法相比,ZdLFC和RdLFC在跨细胞系中对合成致死对的识别更为一致,而ZdLFC的优势在于不需要已知相互作用分子的训练集。