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Fig. 6 | Genome Medicine

Fig. 6

From: Seed-effect modeling improves the consistency of genome-wide loss-of-function screens and identifies synthetic lethal vulnerabilities in cancer cells

Fig. 6

Growth inhibition of MCF10A cells with PIK3CA driver mutations and HMX3 and PKN3 knockouts. Percentage growth inhibition in MCF10A cells harboring PIK3CA (E545K/+) and PIK3CA (H1047R/+) mutation and their corresponding isogenic control (WT). The predicted synthetic lethal partners of PIK3CA, HMX3 and PKN3, were knocked out using three independent sgRNAs, and their mix by CRISPR/Cas9 (Additional file 2: Table S1). sgRNA against green fluorescent protein (GFP) was used as a negative control. The intensity data for eight replicates was averaged and scaled by the mean intensity of the GFP control in each cell line, and plotted along with the standard error of the mean (error bars). Asterisks denote statistically significant differences in the intensity values compared to wild-type MCF10A (p < 0.05, Student’s t-test)

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