Ageing in Pgc-1β−/− mice modelling mitochondrial dysfunction induces differential expression of a range of genes regulating ventricular electrophysiology

Figures

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  Figure 1. Heatmap visualising the differential expression Fold changes were normalised to the mean of the expression in WT/Young samples (n=3 for each group). The heatmaps show yellow for no change compared with WT/Young samples, red for increase and green for decrease in fold gene expression. The mean and the standard error of the mean (S.E.M.) are indicated for each biological group and gene. The genes are ordered in the direction of main change from largest decrease to largest increase compared with the WT/Young samples. Two-way ANOVA were performed to evaluate significance in differential expression between Young and Old respectively WT and Pgc-1β−/−. One-way ANOVA was performed to evaluate significance between all biological groups. Significance level P<0.05 are yellow marked for clarity.

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  Figure 2. Pairwise gene expression ratios stratified by P-values (A) WT vs Pgc-1β−/− Volcano plots to show overview of differentially expressed genes in Pgc-1β−/− tissue on single gene level grouped by age. Expression fold changes for Young-Pgc-1β−/− were compared with Young-WT and Old-Pgc-1β−/− were compared with Old-WT. P-values were calculated with unpaired Student’s ttest. Genes with expression fold changes with P-value <0.10 are labelled in the plot. n=3 for each group. (B) Young vs Old Volcano plots to show overview of differentially expressed genes on single gene level grouped by Pgc-1β presence. Expression fold changes for WT-Old were compared with WT-Young and Pgc-1β−/−-Old were compared with Pgc-1β−/−-Young. P-values were calculated with unpaired Student’s ttest. Genes with expression fold changes with P-value <0.10 are labelled in the plot. n=3 for each group.