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Figure 3 | Journal of Translational Medicine

Figure 3

From: Quantitative analysis of proteins of metabolism by reverse phase protein microarrays identifies potential biomarkers of rare neuromuscular diseases

Figure 3

Hierarchical clustering analyses of the biopsies using enzymes of energy metabolism. Rows indicate type of sample, columns, proteins and derived ratios. Protein expression scores are shown normalized to the mean relative expression level in normal samples, according to a color scale (below panels): red indicates high; black, normal; and green, low expression. The dendogram (to the right of the matrix) represents overall similarities in expression profiles. The maximum and minimum values of the markers for each cluster are shown. A, Clustering of normal (CTR), isolated deficit of Complex I activity (MITO) and myophosphorylase (GlycV) biopsies using β-F1-ATPase/GAPDH ratio, PYGM and NADHs9 as biomarkers. B, Clustering of normal (CTR) and DMD, BMD, Xp21 and LGMD2C muscular dystrophies using LDH-A, BEC index and PYGM as biomarkers. C, Clustering of normal (CTR) and Neuronal Ceroid Lipofuscinosis (NCL) biopsies using PYGM, GPD1 and β-F1-ATPase/LDHA ratio as biomarkers.

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