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The landscape of metabolic pathway dependencies in cancer cell lines

Fig 6

Integration of pharmacological and genetic screens reveals consistent metabolic pathway vulnerabilities in adherent RPMI cell lines.

A) Schematic outlining approach to identify drug targets and genetic dependencies that are commonly increased or decreased with metabolic pathway activity. Significance was assessed by permutation testing combined with Benjamini-Hochberg FDR correction. 176 significant associations of 187,818 gene+drug:metabolic pathway combinations passed the FDR threshold of 0.01 (S7 and S8 Tables). B-E) Scatter plots of four drug response and CRISPR gene dependencies associated with metabolic pathway activity. The gene target of each drug is listed below the drug name. F) Schematic outlining a filtering approach used to identify common pathway-level vulnerabilities in Genetic PDEA and Pharmacologic PDEA. G-I) Mountain plots and leading edge drugs and genes from the three common pathway vulnerabilities are shown.

Fig 6

doi: https://doi.org/10.1371/journal.pcbi.1008942.g006