Fig. 4
From: Integrated transcriptomic and proteomic profiling of colonic tissue in interleukin-10-deficient mice
Quality control of proteomic and transcriptomic data. (a) Transcriptomic principal component analysis (PCA) of the six samples in two groups. (b) Differential expression genes (DEGs) between two groups. (c) Venn diagram of overlapping DEGs. (d) Pearson correlation between samples. Two groups contained six samples, and every two samples were compared. (e) The distribution of peptide counts and protein molecular weight. (f) The cluster heatmap of DEPs. (g) The Pearson’s test of proteomics. (h) Distribution of quantitative proteomic data before missing values imputation in each sample. Y-axis represented quantitative values exponentially. (i) Distribution of quantitative proteomic data after missing values imputation in each sample following normalization and logarithmic transformation. (j,k) The intensity of peptides and proteins.
