Supplementary Figure 6: Transcriptome to proteome comparison.
From: Social network architecture of human immune cells unveiled by quantitative proteomics
(a) Pearson correlation coefficients of comparable cell types from RNAseq (columns) and proteome (rows) measurements. Correlation coefficients were computed from RPKM and iBAQ values (s.s.: steady state, act: activated).
(b) Pearson correlation coefficients (RNAseq vs Proteome) of only matched cell type pairs.
(c) Pearson correlation coefficients (Microarray vs Proteome) of protein-gene expression profiles.
(d) Comparison of WGCNA modules from microarray and proteome data. Modules were matched by Pearson correlation of their module eigengenes and the best two correlating microarray (R) modules for each proteome (P) module are displayed and plotted against their gene overlap. The gene overlap represents the percentage of genes in the proteome module covered by the corresponding microarray module.
(e) Comparison of intercellular receptor-ligand connections in proteome (blue) and microarray (green) data. For this comparison the intercellular signaling networks were constructed by only shared cell types.
