Figure S9.
Changes in lactate production in EtBr or NDUFS4 KO MEFs. (A) Time course of lactate production from control cells (uridine-treated and in 2 mM glucose without serum) in the presence or absence of 100 µM CK666. Points indicate individual well measurements starting with 75,000 cells/well. n = 8 individual well measurements from four independent experiments. n.s. P > 0.05. (B) Time course of lactate production from EtBr-4 cells (in 2 mM glucose without serum) in the presence or absence of 100 µM CK666. Points indicate individual well measurements starting with 75,000 cells/well. n = 8 individual well measurements from four independent experiments. **** P < 0.0001. Statistical significance was calculated by two-way ANOVA using Tukey’s multiple comparisons test. (C) Time course of lactate production from EtBr-10 cells (in 2 mM glucose without serum) in the presence or absence of 100 µM CK666. Points indicate individual well measurements starting with 75,000 cells/well. n = 8 individual well measurements from four independent experiments. **** P < 0.0001. Statistical significance was calculated by two-way ANOVA using Tukey’s multiple comparisons test. (D) Time course of lactate production from WT and NDUFS4 KO cells (in 2 mM glucose without serum) in the presence or absence of 100 µM CK666. Points indicate individual well measurements starting with 75,000 cells/well. n = 8 individual well measurements from four independent experiments. Statistical significance between WT conditions and NDUFS4 KO conditions were calculated by two-way ANOVA using Tukey’s multiple comparisons test and presented in Table S1. (E) Time course of lactate production from WT and NDUFS4 KO cells (in 25 mM glucose without serum) in the presence or absence of 100 µM CK666. Points indicate individual well measurements starting with 75,000 cells/well. n = 8 individual well measurements from four independent experiments. Statistical significance between WT conditions and NDUFS4 KO conditions were calculated by two-way ANOVA using Tukey’s multiple comparisons test and presented in Table S1. Number of experiments, statistical tests, and sample sizes are provided in Table S1.

Changes in lactate production in EtBr or NDUFS4 KO MEFs. (A) Time course of lactate production from control cells (uridine-treated and in 2 mM glucose without serum) in the presence or absence of 100 µM CK666. Points indicate individual well measurements starting with 75,000 cells/well. n = 8 individual well measurements from four independent experiments. n.s. P > 0.05. (B) Time course of lactate production from EtBr-4 cells (in 2 mM glucose without serum) in the presence or absence of 100 µM CK666. Points indicate individual well measurements starting with 75,000 cells/well. n = 8 individual well measurements from four independent experiments. **** P < 0.0001. Statistical significance was calculated by two-way ANOVA using Tukey’s multiple comparisons test. (C) Time course of lactate production from EtBr-10 cells (in 2 mM glucose without serum) in the presence or absence of 100 µM CK666. Points indicate individual well measurements starting with 75,000 cells/well. n = 8 individual well measurements from four independent experiments. **** P < 0.0001. Statistical significance was calculated by two-way ANOVA using Tukey’s multiple comparisons test. (D) Time course of lactate production from WT and NDUFS4 KO cells (in 2 mM glucose without serum) in the presence or absence of 100 µM CK666. Points indicate individual well measurements starting with 75,000 cells/well. n = 8 individual well measurements from four independent experiments. Statistical significance between WT conditions and NDUFS4 KO conditions were calculated by two-way ANOVA using Tukey’s multiple comparisons test and presented in Table S1. (E) Time course of lactate production from WT and NDUFS4 KO cells (in 25 mM glucose without serum) in the presence or absence of 100 µM CK666. Points indicate individual well measurements starting with 75,000 cells/well. n = 8 individual well measurements from four independent experiments. Statistical significance between WT conditions and NDUFS4 KO conditions were calculated by two-way ANOVA using Tukey’s multiple comparisons test and presented in Table S1. Number of experiments, statistical tests, and sample sizes are provided in Table S1.

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