Figure 5Figure 5a. Inhibition of CDK12 affects the expression of similar subsets of genes in nuclear and 3´ end RNA-seq data. The Venn diagrams represent the overlap between genes significantly (p<0.01) up- (log2 fold-change >1) or down-regulated (log2 fold-change < -1) in nuclear and 3` end RNA-seq data. Figure 5b Genes down-regulated in nuclear RNA-seq after CDK12 inhibition have diminished relative occupancy of RNAPII at their 3´ ends Metagene analyses of RNAPII ChIP-seq data Each transcript was divided into two parts with fixed length (transcription start site (TSS) -3kb to +1.5kb and transcription termination site (TTS) -1.5kb to +3kb) and a central part with variable length corresponding to the rest of gene body (shown in %). Each part was binned into a fixed number of bins (90/180/90) and average coverage for each bin was calculated for each transcript in each sample. The curve for each transcript was normalized to a sum of one and then averaged first across genes and second across samples. Dotted lines indicate: TSS, 1500 nucleotides downstream of TSS, 1500 nucleotides upstream of TTS and TTS. The color track at the bottom of each subfigure indicate the significance of paired Wilcoxon tests comparing the normalized transcript coverages for each bin between untreated (CTRL) cells and cells treated with 3-MB-PP1. P-values are adjusted for multiple testing with the Bonferroni method within each subfigure; color code: red=adjusted p-value≤10-15, orange=adjusted p-value≤10-10, yellow=adjusted p-value≤10-3. Genes down-regulated in nuclear RNA-seq after CDK12 inhibition have higher relative occupancy of P-Ser2 in their gene bodies. Metagene analyses of P-Ser2 ChIP-seq data Each transcript was divided into two parts with fixed length (transcription start site (TSS) -3kb to +1.5kb and transcription termination site (TTS) -1.5kb to +3kb) and a central part with variable length corresponding to the rest of gene body (shown in %). Each part was binned into a fixed number of bins (90/180/90) and average coverage for each bin was calculated for each transcript in each sample. The curve for each transcript was normalized to a sum of one and then averaged first across genes and second across samples. Dotted lines indicate: TSS, 1500 nucleotides downstream of TSS, 1500 nucleotides upstream of TTS and TTS. The color track at the bottom of each subfigure indicate the significance of paired Wilcoxon tests comparing the normalized transcript coverages for each bin between untreated (CTRL) cells and cells treated with 3-MB-PP1. P-values are adjusted for multiple testing with the Bonferroni method within each subfigure; color code: red=adjusted p-value≤10-15, orange=adjusted p-value≤10-10, yellow=adjusted p-value≤10-3. Figure 5d Examples of genes whose transcription processivity and expression is dependent on the CDK12 kinase activity. Nuclear RNA-seq data on the respective strand and RNAPII, P-Ser2, P-Ser5 and SPT6 ChIP-seq data for MED13 genes from cells either treated (red) or not (blue, CTRL) with 3-MB-PP1 were visualized with Gviz. Read counts were normalized to the total number of mapped reads per sample and averaged between replicates. Blue and red boxes below the RNA-seq data indicate the 90% distance in control and CDK12 inhibited samples, respectively. Figure 5d e. Examples of genes whose transcription processivity and expression is dependent on the CDK12 kinase activity. Nuclear RNA-seq data on the respective strand and RNAPII, P-Ser2, P-Ser5 and SPT6 ChIP-seq data for UBE3C genes from cells either treated (red) or not (blue, CTRL) with 3-MB-PP1 were visualized with Gviz. Read counts were normalized to the total number of mapped reads per sample and averaged between replicates. Blue and red boxes below the RNA-seq data indicate the 90% distance (see Fig. 7d and 7e and corresponding text) in control and CDK12 inhibited samples, respectively.