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. 2019 Feb 7;116(9):3909–3918. doi: 10.1073/pnas.1816391116

Fig. 4.

Fig. 4.

The effects of the HIF-1 degradation rate (A) and the mtROS production rate (B) on metabolic phenotypes. (A, Top) HCA of the stable-state solutions (referred to as samples here) of 1,000 sets of parameters with the degradation rate of HIF-1 (kH) being 0.45 h1, 0.25 h1, and 0.05 h1 (from left to right). (A, Middle) Projection of the clustered samples at the top onto the PC1 and PC2 generated by the wild-type samples with the degradation rate of HIF-1 being 0.25 h1 (referred to as WT-PC1 and WT-PC2). (A, Bottom) The fractions of the metabolic states, O, W/O, and W, corresponding to the top. The analysis was repeated three times and error bars were added. (B, Top) HCA of the stable-state solutions of 1,000 sets of parameters with the production rate of mtROS (gRmt) being 30, 50, and 80 μM/min (from left to right). (B, Middle) Projection of the clustered samples in the corresponding top onto the PC1 and PC2 generated by the wild-type samples, with the production rate of mtROS being 50 μM/min. (B, Bottom) The fractions of the metabolic states, O, W/O, and W, corresponding to the top. The analysis was repeated three times and error bars were added. The middle figures in A and B are the same with the parameters kH=0.25h1 and gRmt = 50 μM/min, representing the wild type. Z-scores of the stable-state solutions were used for clustering analysis and PCA. The solutions of all scenarios here were normalized using the mean and SD of the wild type.