Fig. 3: Concordance between transcriptome and proteome in the developing DLPFC.

a Within-sample Pearson correlation coefficients (PCC) between paired transcriptome and proteome samples (n = 44). Associations were tested for all paired RNA and protein molecules (proteome) and then by focusing on RNA and protein content accordingly to protein module status. The number of molecules compared within each module are listed on the x-axis. b Average PCC’s within paired transcriptome and proteome samples (y-axis) measured as a function of age (x-axis). Samples are ranked according to age, and shaded accordingly to postnatal developmental period (1, neonate; 2, infant; 3, toddler; 4, school age; 5, teenager; 6, young adult; 7, adult). c Scatterplot of age-related linear regression t-statistics computed for the overlapping 556 mRNAs and proteins, colored according to protein module membership. d Across-sample Spearman correlation coefficient (SCC) comparing RNA expression profiles to their respective translated protein expression. SCC’s are parsed by RNA’s which are significantly associated with cortical development (FDR p < 0.05), compared to those which do not (Table S6). A Mann–Whitney U test was used to compute significance between these two groups. e Direct protein–protein interaction network of protein module M1, displaying significant decrease in correlation between RNA and proteins across postnatal development