Figure 1From: An integrated analysis of genes and pathways exhibiting metabolic differences between estrogen receptor positive breast cancer cells Gene compartmentation and distribution in the GO terms and pathways. (a) Venn diagram showing statistically significant genes (p ≤ 0.05, ≥5/≤-5) in MCF-7 and ZR75-1 compared to NBr. MCF-7 had 366 and ZR75-1 had 367 significant genes, and 77 genes intersecting between the circles were common. (b) In all the GO terms BP, MF, and CC, the gene distribution was higher for MCF-7 cells. Of all GO terms, function MF has the highest gene distribution in both cells. (c) DAVID selected 109 (30%) of 366 genes for MCF-7 cells, and 88 (24%) of 367 genes for ZR75-1 cells for KEGG's pathways, and the rest remained unclassified. The classified genes as shown are distributed in common pathways (oxidative phosphorylation, focal adhesion, insulin signaling, ribosome, proteasome, and glycolysis/gluconeogenesis). The steroid biosynthesis (1%), tight junction and Wnt signaling (0.8%, not shown) were predicted by DAVID for MCF-7. In ZR75-1 cells, highest gene utilization was seen in the oxidative phosphorylation pathway (5.7%), the rest were distributed in the ribosome (10 genes, 2.7%), the pentose phosphate (HMS), and proteasome pathways (1.1%) respectively. BIOCARTA pathway selected two other pathways with 35 (9.5%) genes, unselected by KEGG's pathway. Of these, 4, (1.1%) genes were involved in the MTA-3 in ER(-)ve breast tumor (more prominent in ZR75-1, GSEA), and 3 (0.8%) genes were involved in the glycolysis pathways. (d) GO classification of 77 common genes in MCF-7 and ZR75-1. Percent of coverage represents the percent of genes annotated by DAVID to the GO terms, BP, MF, and CC. Unclassified genes are not shown.Back to article page