Fig. 3: Global metabolite profiling to identify biochemicals perturbed by candidate mutants. | Communications Biology

Fig. 3: Global metabolite profiling to identify biochemicals perturbed by candidate mutants.

From: Mining cancer genomes for change-of-metabolic-function mutations

Fig. 3

a Schematic of experiment showing cells transfected with indicated mutants, their analogous WT constructs, and empty vector (EV) or GFP controls. b Heat map showing 277 unique biochemicals as rows. Color key on left indicates biochemical super pathway. Heat map on left shows normalized ion counts for n = 3 independent transfection replicates for each construct (columns). Heat map on right shows biochemicals with a significant difference when compared between one group and all other groups (-log10 of q-value for Welch’s t-test with Bonferroni correction). Biochemicals with q < 0.05 for any comparison are named on the right of the heat map. The biochemical with the most significant q-value named in red (xanthosine). Unique biochemicals of unknown structure are denoted by X-. c Normalized ion counts for xanthosine for n = 3 independent transfection replicates are shown on left with Welch’s t test p-value shown for comparisons between OGDHL-MUT and OGDHL-WT and for OGDHL-MUT vs. all other samples. Metabolic pathway for purine degradation and S-adenosyl-methionine (SAM)-mediated xanthosine production shown on right.

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