Overview of metabolomics data. a Experimental design. Breast tumors were collected from five transgenic mouse models and normal mammary tissue from littermates. Samples then were analyzed by GC-MS and LC-MS/MS to acquire metabolomics data, which was then used to acquire oncogene-specific metabolic profiles. b Principal component analysis (PCA) of tumor metabolites. Each group of tumor samples (multi-colored) are separated from normal mammary tissue samples (gray) and from other tumor models. c Unsupervised cluster analysis of 47 samples and 374 metabolites. Samples are separated by column, and metabolites are separated by row. All normal tissue was within cluster 1 (blue); tumors are nearly all in cluster 2 (red), generally with high metabolite levels. d Super pathways of universally enriched metabolites in all tumor groups compared to normal tissue. The y-axis indicates the metabolic super pathways of metabolites, and the x-axis indicates the percentage of metabolites in each super pathway. The bars indicate metabolites that were upregulated more than twofold (blue) or fivefold (red) in all five tumor groups compared to normal tissue. The number of metabolites belonging to each major pathway was normalized against the total number of metabolites detected in the same pathway. See also Additional files 1, 2, and 3.