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Fig. 3 | Genome Biology

Fig. 3

From: Partial gene suppression improves identification of cancer vulnerabilities when CRISPR-Cas9 knockout is pan-lethal

Fig. 3

Associations between drug sensitivity and drug-target dependency. a Number of CTD2 drug sensitivity profiles that have an annotated target within the top 5 correlated gene dependencies per drug dose. There are 165 drugs included that use the standard 16-point concentration range. b Maximum correlated drug dose for each annotated drug-gene target pair (N = 86) using CRISPR compared to RNAi. Drug-gene target pairs are included if the target is among the drug’s top 5 gene correlates using either CRISPR or RNAi. c Pearson correlation of drugs and annotated targets (N = 88) as in part b except without removing pairs for non-standard concentration ranges. d Correlation of each CTD2 drug with its annotated gene targets in the CRISPR and RNAi datasets (167 drugs, 375 gene targets). e Relationship between gene effect and CTD2 drug sensitivity for 4 drugs and their annotated gene targets (BCL2L1, CHEK1, CDK2, WEE1) which are CRISPR pan-dependencies. Density (2D) represents over 300 cell lines for each genetic dependency dataset (RNAi, CRISPR) per drug. Data is smoothed using linear models with 95% confidence intervals. f Fraction of annotated drug-target pairs where the target gene is among the drug’s top 5 most correlated gene dependencies. Fractions are calculated per drug dataset (CTD2, GDSC, PRISM) since each dataset includes different drugs and different totals of drug-gene target pairs. Pairs are faceted by whether the target gene is a pan-dependency using CRISPR

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