Pooled CRISPR screening of high-content cellular phenotypes using ghost cytometry

Asako Tsubouchi, Yuri An, Yoko Kawamura, Yuichi Yanagihashi, Hirofumi Nakayama, Yuri Murata,Kazuki Teranishi, Soh Ishiguro,Hiroyuki Aburatani, Nozomu Yachie,Sadao Ota

Cell Reports Methods(2024)

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摘要
Recent advancements in image-based pooled CRISPR screening have facilitated the mapping of diverse genotype-phenotype associations within mammalian cells. However, the rapid enrichment of cells based on morphological information continues to pose a challenge, constraining the capacity for large-scale gene perturbation screening across diverse high-content cellular phenotypes. In this study, we demonstrate the applicability of multimodal ghost cytometry-based cell sorting, including both fluorescent and label-free high-content phenotypes, for rapid pooled CRISPR screening within vast cell populations. Using the high-content cell sorter operating in fluorescence mode, we successfully executed kinase-specific CRISPR screening targeting genes influencing the nuclear translocation of RelA. Furthermore, using the multiparametric, label-free mode, we performed large-scale screening to identify genes involved in macrophage polarization. Notably, the label-free platform can enrich target phenotypes without requiring invasive staining, preserving untouched cells for downstream assays and expanding the potential for screening cellular phenotypes even when suitable markers are absent.
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关键词
pooled CRISPR screening,image-based cell sorter,cellular phenotyping,label-free cell analysis,machine learning,high-content cell analysis,flow cytometry
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