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Image Search Results
Journal: bioRxiv
Article Title: Spatially Resolved in vivo CRISPR Screen Sequencing via Perturb-DBiT
doi: 10.1101/2024.11.18.624106
Figure Lengend Snippet: (A) Top: Schematic of the dual sgRNA CRISPR KO retroviral vector used for Perturb-DBiT with the small (2 and 86 sgRNA) libraries. Bottom: Schematic of the AAV-CRISPR vector containing two sgRNA expressing cassettes used for Perturb-DBiT with the medium (288 sgRNA library). (B) Small library guide detection (86 sgRNAs) in Cas9-expressing tumor cells in a tumor tissue using a library of 38 epigenetic regulators and 10 non-targeting controls (NTC). Top: Top sgRNA hit spatial plot and adjacent H&E image corresponding to the region of interest. Bottom: Top sgRNAs are presented with points atop a 2D density map (sgRNA1 and sgRNA2 overlap = blue-to-gold). (C) Detection of a medium-sized guide library (288 sgRNAs) in a murine model of autochthonous liver cancer. Left: Liver tissue stained with hematoxylin and eosin (H&E), demonstrating the ROI used for Perturb-DBiT. Right: spatial clustering of gene expression data overlaid on brightfield image, labeled with pathologist annotations. (D) Left: Spatial visualization of the top gene perturbations, depicted by color-coded 2D-density maps atop an autochthonous liver tumor ROI. Right: Bar plot of the top 10 gene perturbations detected by 50-micron Perturb- DBiT. The area and total counts of the gene perturbations are presented by bars and blue line, respectively. (E) Left: UMAP dimensional reduction embedding of gene expression, leading to distinct spatial clusters. Right: Distribution of detected gene/UMI counts per spatial pixel from gene expression data. (F) Heat map of differentially expressed (DE) genes between GEX pixel clusters. The top 15 expressed DE genes are shown for each cluster with z-score values, arranged by hierarchical clustering of genes, pixels, and clusters. (G) Left: Recapitulation analysis comparing sgRNA capture accuracy between Perturb-DBiT and the traditional pooled sequencing method (MIP). Right: Receiver-operator curve comparing the sgRNA detection by 50- micron Perturb-DBiT vs the traditional pooled sequencing method (MIP).
Article Snippet: To generate tumor cells transduced with the
Techniques: CRISPR, Retroviral, Plasmid Preparation, Expressing, Staining, Labeling, Sequencing