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Fig. 1 | BMC Genomics

Fig. 1

From: The landscape of PBMC methylome in canine mammary tumors reveals the epigenetic regulation of immune marker genes and its potential application in predicting tumor malignancy

Fig. 1

Pair-wise comparison for genome-wide PBMC methylome datasets from benign, carcinoma, and normal dogs. A Synopsis of genome-wide PBMC methylome study. B A Venn diagram shows the number of common and unique DMRs identified in each comparison (FDR-adjusted p-value < 0.1 and log2FC ≥  ± 0.585). C-E The distributions of genomic features in Total bins, Bins_used, and each DMR to see pronounced regions. ‘Bins_used’ regarded signal peaks used for DMR analysis, excluding noise bins (both low signal bins and zero CpG bins) from ‘Total bins’. F Volcano plots and 100%-scaled stacked bar plots with the frequency and genomic profile of hypo- and hyper- methylated bins. The x-axis is the ‘log2 methylation fold change’, and the y-axis means the statistical significance. Hypermethylated in ‘N’ is expressed as blue, ‘T’ as purple, ‘B’ as orange, and ‘C’ as red. G Heatmap Clustering of ‘N and T with NT_DMR (2840 DMRs)’, ‘N and B with NB_DMR (3373 DMRs)’, ‘N and C with NC_DMR (1876 DMRs)’, ‘B and C with BC DMRs (168 DMRs)’. The clustering distance between samples (columns) followed Pearson’s correlation, and the ‘complete’ method was used

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