bioRxiv · 10.1101/2020.06.29.174383
Mapping genetic effects on cellular phenotypes with "cell villages"
Abstract
Tens of thousands of genetic variants shape human phenotypes, mostly by unknown cellular mechanisms. Here we describe Census-seq, a way to measure cellular phenotypes in cells from many people simultaneously. Analogous to pooled CRISPR screens but for natural variation, Census-seq associates cellular phenotypes to donors genotypes by quantifying the presence of each donors DNA in cell "villages" before and after sorting or selection for cellular traits of interest. Census-seq enables population-scale cell-biological phenotyping with low cost and high internal control. We demonstrate Census-seq through investigation of genetic effects on the SMN protein whose deficiency underlies spinal muscular atrophy (SMA). Census-seq quantified and mapped effects of many common alleles on SMN protein levels and response to SMN-targeted therapeutics, including a common, cryptic non-responder allele. We provide tools enabling population-scale cell experiments and explain how Census-seq can be used to map genetic effects on diverse cell phenotypes. O_FIG O_LINKSMALLFIG WIDTH=185 HEIGHT=200 SRC="FIGDIR/small/174383v1_ufig1.gif" ALT="Figure 1"> View larger version (49K): org.highwire.dtl.DTLVardef@169bf4borg.highwire.dtl.DTLVardef@18dd9c0org.highwire.dtl.DTLVardef@1d30ca5org.highwire.dtl.DTLVardef@e35bf0_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LICensus-seq reveals how inherited genetic variation affects cell phenotypes C_LIO_LIGenetic analysis of cellular traits in cell villages of >100 donors C_LIO_LICharacterizing human alleles that shape SMN protein expression and drug responses C_LIO_LIDevelopment of protocols and software to enable cellular population genetics C_LI
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Mitchell, J. M., Nemesh, J., Ghosh, S., Handsaker, R. E., Mello, C., Meyer, D., Raghunathan, K., de Rivera, H., Tegtmeyer, M., Hawes, D., Neumann, A., Nehme, R., Eggan, K., McCarroll, S. A.. 2020-06-29. Mapping genetic effects on cellular phenotypes with "cell villages". https://doi.org/10.1101/2020.06.29.174383
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