Baysoy Alev, Tian Xiaolong, Zhang Feifei, Renauer Paul, Bai Zhiliang, Shi Hao, Li Haikuo, Tao Bo, Yang Mingyu, Enninful Archibald, Gao Fu, Wang Guangchuan, Zhang Wanqiu, Tran Thao, Patterson Nathan Heath, Bao Shuozhen, Dong Chuanpeng, Xin Shan, Zhong Mei, Rankin Sherri, Guy Cliff, Wang Yan, Connelly Jon P, Pruett-Miller Shondra M, Chi Hongbo, Chen Sidi, Fan Rong
Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
These authors contributed equally.
bioRxiv. 2024 Nov 19:2024.11.18.624106. doi: 10.1101/2024.11.18.624106.
Perturb-seq enabled the profiling of transcriptional effects of genetic perturbations in single cells but lacks the ability to examine the impact on tissue environments. We present Perturb-DBiT for simultaneous co-sequencing of spatial transcriptome and guide RNAs (gRNAs) on the same tissue section for in vivo CRISPR screen with genome-scale gRNA libraries, offering a comprehensive understanding of how genetic modifications affect cellular behavior and tissue architecture. This platform supports a variety of delivery vectors, gRNA library sizes, and tissue preparations, along with two distinct gRNA capture methods, making it adaptable to a wide range of experimental setups. In applying Perturb-DBiT, we conducted un-biased knockouts of tens of genes or at genome-wide scale across three cancer models. We mapped all gRNAs in individual colonies and corresponding transcriptomes in a human cancer metastatic colonization model, revealing clonal dynamics and cooperation. We also examined the effect of genetic perturbation on the tumor immune microenvironment in an immune-competent syngeneic model, uncovering differential and synergistic perturbations in promoting immune infiltration or suppression in tumors. Perturb-DBiT allows for simultaneously evaluating the impact of each knockout on tumor initiation, development, metastasis, histopathology, and immune landscape. Ultimately, it not only broadens the scope of genetic inquiry, but also lays the groundwork for developing targeted therapeutic strategies.
Perturb-seq能够对单细胞中基因扰动的转录效应进行分析,但缺乏检测对组织环境影响的能力。我们提出了Perturb-DBiT,用于在同一组织切片上对空间转录组和引导RNA(gRNA)进行同步共测序,以使用基因组规模的gRNA文库进行体内CRISPR筛选,从而全面了解基因修饰如何影响细胞行为和组织结构。该平台支持多种递送载体、gRNA文库大小和组织制备方法,以及两种不同的gRNA捕获方法,使其适用于广泛的实验设置。在应用Perturb-DBiT时,我们在三种癌症模型中对数十个基因进行了无偏敲除或在全基因组范围内进行了敲除。我们在人类癌症转移定植模型中绘制了各个克隆中的所有gRNA以及相应的转录组,揭示了克隆动态和协同作用。我们还在具有免疫活性的同基因模型中研究了基因扰动对肿瘤免疫微环境的影响,发现了在促进肿瘤免疫浸润或抑制方面的差异和协同扰动。Perturb-DBiT允许同时评估每个基因敲除对肿瘤起始、发展、转移、组织病理学和免疫格局的影响。最终,它不仅拓宽了基因研究的范围,还为开发靶向治疗策略奠定了基础。