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. Author manuscript; available in PMC: 2019 Jan 1.
Published in final edited form as: Cancer Res. 2017 Nov 2;78(1):36–50. doi: 10.1158/0008-5472.CAN-17-1352

Figure 2. Effects of IDH1R132H on the murine GPC metabolome.

Figure 2

(A–I) Metabolite abundance as assessed by LC/MS using the Metabolon Discovery HD4 platform. N=4 samples were cultured, collected, and processed for each condition and metabolite abundance is graphically depicted as scaled intensity (relative abundance). One way analysis of variance and Tukey’s post-hoc test was used to evaluate differences between groups, and multiplicity adjusted p-values are reported as *p<0.05, **p<0.01, ***p<0.001. Metabolomics data are available in Supplemental Dataset A as fold changes of group averages. N=4 samples were analyzed for all conditions. (J) Graphical representation of TCA cycle metabolites that are affected by IDHR132H expression in a metabolomics analyses. (K) Table detailing increased abundance of specific dipeptide metabolites in the context of IDH1WT or IDH1R132H transgene expression. The scale bar indicates the log2 fold-change of metabolite abundance relative to the empty vector control condition, with the magnitude of fold change reflected by red or blue color intensity. (L) Pathway analyses of GPC metabolome with IDH1R132H expression relative to the vector control. IDH1R132H-expressing cells showed significant increases in the abundance of dipeptide metabolites, as well variable differences in the abundance of gamma-glutamyl amino acid metabolites. The changes in metabolite abundance relative to the vector condition are represented by color. Red circles represent increases in metabolite abundance in the IDH1R132H-expressing condition and blue circles represent decreases in metabolite abundance in the IDH1R132H-expressing condition. The size of the circles is correlated to the magnitude difference in metabolite abundance.