Fig. 6: The association between gene activity and metabolic pathway activity.
From: Computational modeling of cancer cell metabolism along the catabolic-anabolic axes
A Heatmap of RNA-seq data from lung adenocarcinoma (LUAD). Each row represents a patient sample, and each column represents the expression of selected genes, which are divided according to their metabolic or anabolic activities. Four distinct clusters can be identified in the heatmap, corresponding to the four states identified in the metabolism model. The adjacent one-column heatmaps represent the scores Myc, HIF-1, AMPK, glucose oxidation, FAO, glutamine oxidation, glycolysis, glucose reduction, GSH, glutamine reduction, FA reduction, ROS mitochondrial, ROS NADPH, overall catabolic, and overall anabolic activities, respectively. We also included some of the phenotypic data of cancer: TNM stage, metastasis stage, lymph node stage, and tumor stage. B Box plots summarizing and showing the differences in the scores according to each identified cluster in the LUAD data. For the box plots, a t-test was used to test the significance of each pair of clusters. Significance levels are indicated as follows: *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001.
