Gu Jiacheng, Iyer Abhishek, Wesley Ben, Taglialatela Angelo, Leuzzi Giuseppe, Hangai Sho, Decker Aubrianna, Gu Ruoyu, Klickstein Naomi, Shuai Yuanlong, Jankovic Kristina, Parker-Burns Lucy, Jin Yinuo, Zhang Jia Yi, Hong Justin, Niu Xiang, Costa Jonathon A, Pezet Mikael G, Chou Jacqueline, Chen Cao 'Claire', Paiva Margaret, Snoeck Hans-Willem, Landau Dan A, Azizi Elham, Chan Edmond M, Ciccia Alberto, Gaublomme Jellert T
Department of Biological Sciences, Columbia University, New York, NY, USA.
Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY, USA.
Nat Biotechnol. 2024 Oct 7. doi: 10.1038/s41587-024-02386-x.
Unlike sequencing-based methods, which require cell lysis, optical pooled genetic screens enable investigation of spatial phenotypes, including cell morphology, protein subcellular localization, cell-cell interactions and tissue organization, in response to targeted CRISPR perturbations. Here we report a multimodal optical pooled CRISPR screening method, which we call CRISPRmap. CRISPRmap combines in situ CRISPR guide-identifying barcode readout with multiplexed immunofluorescence and RNA detection. Barcodes are detected and read out through combinatorial hybridization of DNA oligos, enhancing barcode detection efficiency. CRISPRmap enables in situ barcode readout in cell types and contexts that were elusive to conventional optical pooled screening, including cultured primary cells, embryonic stem cells, induced pluripotent stem cells, derived neurons and in vivo cells in a tissue context. We conducted a screen in a breast cancer cell line of the effects of DNA damage repair gene variants on cellular responses to commonly used cancer therapies, and we show that optical phenotyping pinpoints likely pathogenic patient-derived mutations that were previously classified as variants of unknown clinical significance.
与需要细胞裂解的基于测序的方法不同,光学混合基因筛选能够研究空间表型,包括细胞形态、蛋白质亚细胞定位、细胞间相互作用和组织组织,以响应靶向CRISPR扰动。在这里,我们报告了一种多模态光学混合CRISPR筛选方法,我们称之为CRISPRmap。CRISPRmap将原位CRISPR引导识别条形码读出与多重免疫荧光和RNA检测相结合。通过DNA寡核苷酸的组合杂交检测和读出条形码,提高了条形码检测效率。CRISPRmap能够在传统光学混合筛选难以实现的细胞类型和环境中进行原位条形码读出,包括培养的原代细胞、胚胎干细胞、诱导多能干细胞、衍生神经元以及组织环境中的体内细胞。我们在乳腺癌细胞系中进行了一项关于DNA损伤修复基因变异对常用癌症治疗细胞反应影响的筛选,结果表明光学表型分析能够精准定位先前被归类为临床意义不明变异的可能致病的患者来源突变。