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

Joseph M. Replogle(Howard Hughes Medical Institute), Reuben A. Saunders(Howard Hughes Medical Institute), Angela N. Pogson(Howard Hughes Medical Institute), Jeffrey A. Hussmann(Howard Hughes Medical Institute), Alexander LeNail(Howard Hughes Medical Institute), Alina Guna(Whitehead Institute for Biomedical Research), Lauren G. Mascibroda(The University of Texas Medical Branch at Galveston), Eric J. Wagner(University of Rochester), Karen Adelman(Harvard University), Gila Lithwick‐Yanai, Nika Iremadze, Florian C. Oberstrass, Doron Lipson, Jessica L. Bonnar(Howard Hughes Medical Institute), Marco Jost(Harvard University), Thomas M. Norman(Memorial Sloan Kettering Cancer Center), Jonathan S. Weissman(Howard Hughes Medical Institute)
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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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