Natural variation in gene expression and viral susceptibility revealed by neural progenitor cell villages

神经祖细胞群揭示的基因表达和病毒易感性的自然变异

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作者:Michael F Wells,James Nemesh,Sulagna Ghosh,Jana M Mitchell,Max R Salick,Curtis J Mello,Daniel Meyer,Olli Pietilainen,Federica Piccioni,Ellen J Guss,Kavya Raghunathan,Matthew Tegtmeyer,Derek Hawes,Anna Neumann,Kathleen A Worringer,Daniel Ho,Sravya Kommineni,Karrie Chan,Brant K Peterson,Joseph J Raymond,John T Gold,Marco T Siekmann,Emanuela Zuccaro,Ralda Nehme,Ajamete Kaykas,Kevin Eggan,Steven A McCarroll

Abstract

Human genome variation contributes to diversity in neurodevelopmental outcomes and vulnerabilities; recognizing the underlying molecular and cellular mechanisms will require scalable approaches. Here, we describe a "cell village" experimental platform we used to analyze genetic, molecular, and phenotypic heterogeneity across neural progenitor cells from 44 human donors cultured in a shared in vitro environment using algorithms (Dropulation and Census-seq) to assign cells and phenotypes to individual donors. Through rapid induction of human stem cell-derived neural progenitor cells, measurements of natural genetic variation, and CRISPR-Cas9 genetic perturbations, we identified a common variant that regulates antiviral IFITM3 expression and explains most inter-individual variation in susceptibility to the Zika virus. We also detected expression QTLs corresponding to GWAS loci for brain traits and discovered novel disease-relevant regulators of progenitor proliferation and differentiation such as CACHD1. This approach provides scalable ways to elucidate the effects of genes and genetic variation on cellular phenotypes.

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