Fig. 7: Model-predicted glutamine uptake and expression values for genes encoding glutamine-utilizing enzymes.
From: Computational modeling of cancer cell metabolism along the catabolic-anabolic axes
A Clustering analysis of stable state solutions illustrating the relationship between the Glutamine uptake (Q0) levels and the states of pAMPK (A) and HIF-1 (h), the first one-column heat map indicates the Myc level (0, 300 nM, 1200 nM, 3000 nM) found in each state, the second one-column heat map shows the glutamine uptake activity for each identified state and the overall summarized at the top. B Glutamine uptake identified in each cluster partitioned by Myc value. C Both the previously published glutamine metabolism gene signature (GMGS)36 and our glutamine uptake signature (Q0) were applied to a normal versus breast cancer dataset consisting of 45 normal tissue samples and 45 breast cancer samples53. D Tumor samples were categorized into “W” (n = 13), “O” (n = 12), “W/O” (n = 6), and “Q” (n = 14) signatures to show the difference between the GMGS (top) and Q0 (bottom). E Set of scatter plots comparing Q0 Score (E1), GMGS (E2), Oxidative Glut Score (E3), and Reductive Glut Score (E4), with the MYC Score. The regression line, confidence interval, and Pearson correlation coefficient are included. T-test was used to test the significance *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001.
