Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq

利用基因组规模的扰动测序技术绘制信息丰富的基因型-表型图谱

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作者:Joseph M Replogle ,Reuben A Saunders ,Angela N Pogson ,Jeffrey A Hussmann ,Alexander Lenail ,Alina Guna ,Lauren Mascibroda ,Eric J Wagner ,Karen Adelman ,Gila Lithwick-Yanai ,Nika Iremadze ,Florian Oberstrass ,Doron Lipson ,Jessica L Bonnar ,Marco Jost ,Thomas M Norman ,Jonathan S Weissman

Abstract

A central goal of genetics is to define the relationships between genotypes and phenotypes. High-content phenotypic screens such as Perturb-seq (CRISPR-based screens with single-cell RNA-sequencing readouts) enable massively parallel functional genomic mapping but, to date, have been used at limited scales. Here, we perform genome-scale Perturb-seq targeting all expressed genes with CRISPR interference (CRISPRi) across >2.5 million human cells. We use transcriptional phenotypes to predict the function of poorly characterized genes, uncovering new regulators of ribosome biogenesis (including CCDC86, ZNF236, and SPATA5L1), transcription (C7orf26), and mitochondrial respiration (TMEM242). In addition to assigning gene function, single-cell transcriptional phenotypes allow for in-depth dissection of complex cellular phenomena-from RNA processing to differentiation. We leverage this ability to systematically identify genetic drivers and consequences of aneuploidy and to discover an unanticipated layer of stress-specific regulation of the mitochondrial genome. Our information-rich genotype-phenotype map reveals a multidimensional portrait of gene and cellular function.

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