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. Author manuscript; available in PMC: 2013 Jul 8.
Published in final edited form as: Methods Mol Biol. 2013;1005:77–93. doi: 10.1007/978-1-62703-386-2_7

Figure 4. Analysis of variance and principal component analysis.

Figure 4

Cardiac chromatin fractions from 3 basal mice (blue), 3 mice in cardiac hypertrophy (red) and 3 mice in cardiac failure (green) were run on a one-dimensional protein gel. Proteins of 75–150kDa were cut and digested. Each sample was analyzed twice by LC/MS/MS for a technical replicate. The data was searched and protein abundance determined by label-free quantitation. ANOVA analysis was used to generate a PCA plot where axes represent peptide intensity and each dot represents a single replicate. Clustering by disease state reveals distinct proteomic changes occuring during cardiac hypertrophy and failure, and confirms the ability of this methodology to reproducibly detect these changes.