Ramani Biswarathan, Rose Indigo V L, Teyssier Noam, Pan Andrew, Danner-Bocks Spencer, Sanghal Tanya, Yadanar Lin, Tian Ruilin, Ma Keran, Palop Jorge J, Kampmann Martin
Institute for Neurodegenerative Diseases; Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
Department of Pathology, University of California, San Francisco, San Francisco, CA, USA.
bioRxiv. 2024 Dec 18:2023.06.13.544831. doi: 10.1101/2023.06.13.544831.
There is a significant need for scalable CRISPR-based genetic screening methods that can be applied directly in mammalian tissues while enabling cell type-specific analysis. To address this, we developed an adeno-associated virus (AAV)-based CRISPR screening platform, CrAAVe-seq, that incorporates a Cre-sensitive sgRNA construct for pooled screening within targeted cell populations in mouse tissues. We demonstrate the utility of this approach by screening two distinct large sgRNA libraries, together targeting over 5,000 genes, in mouse brains to create a robust profile of neuron-essential genes. We validate two genes as strongly neuron-essential in both primary mouse neurons and , confirming the predictive power of our platform. By comparing results from individual mice and across different cell populations, we highlight the reproducibility and scalability of the platform and show that it is highly sensitive even for screening smaller neuronal subpopulations. We systematically characterize the impact of sgRNA library size, mouse cohort size, the size of the targeted cell population, viral titer, and multiplicity of infection on screen performance to establish general guidelines for large-scale screens.
迫切需要可扩展的基于CRISPR的基因筛选方法,这些方法可以直接应用于哺乳动物组织,同时能够进行细胞类型特异性分析。为了解决这个问题,我们开发了一种基于腺相关病毒(AAV)的CRISPR筛选平台CrAAVe-seq,该平台包含一个对Cre敏感的sgRNA构建体,用于在小鼠组织中的靶向细胞群体内进行汇集筛选。我们通过在小鼠大脑中筛选两个不同的大型sgRNA文库(共靶向超过5000个基因)来证明这种方法的实用性,以创建一个强大的神经元必需基因图谱。我们在原代小鼠神经元中验证了两个基因对神经元至关重要,证实了我们平台的预测能力。通过比较个体小鼠和不同细胞群体的结果,我们突出了该平台的可重复性和可扩展性,并表明即使对于筛选较小的神经元亚群,它也具有高度敏感性。我们系统地表征了sgRNA文库大小、小鼠队列大小、靶向细胞群体大小、病毒滴度和感染复数对筛选性能的影响,以建立大规模筛选的通用指南。