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Source: https://www.biorxiv.org/content/10.1101/2024.11.28.625833v1.full
Fig 1
Quantifying knockdown effects in cells from multiple donors at scale.
A) Experimental design of a genome-scale CRISPRi screen with single-cell RNA-seq read-out from 34 human iPSC cell lines. 
B) UMAP of the expression profiles of cells assigned to a donor and targeting guide after correcting for technical covariates, colored by cell line. 
C) Variance decomposition, displaying relative effects of cell line, genomic background and target gene perturbation on gene expression.
D) Overview of the analysis strategy to understand individual trans effects (orange), E) similarity of effects across all genes (green),
F) and similarity of perturbation responses across all targets (purple).

Source: https://www.biorxiv.org/content/10.1101/2024.11.28.625833v1.full Fig 1 Quantifying knockdown effects in cells from multiple donors at scale. A) Experimental design of a genome-scale CRISPRi screen with single-cell RNA-seq read-out from 34 human iPSC cell lines. B) UMAP of the expression profiles of cells assigned to a donor and targeting guide after correcting for technical covariates, colored by cell line. C) Variance decomposition, displaying relative effects of cell line, genomic background and target gene perturbation on gene expression. D) Overview of the analysis strategy to understand individual trans effects (orange), E) similarity of effects across all genes (green), F) and similarity of perturbation responses across all targets (purple).

A genome-scale single cell CRISPRi map of trans gene regulation across human pluripotent stem cell lines. #PopulationScaleGenomics #CRISPRperturbations #CRISPRi #SingleCell #scRNAseq #GeneRegulation #StemCells @biorxivpreprint.bsky.social 🧬 🖥️
www.biorxiv.org/content/10.1...

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