Figure 6

Genome-wide gene expression profiles of bladder tissues with AI-30 injury. (a) Count of significant up- and down-regulation probes count in transcriptome analysis of bladder tissues in comparison between AI-30 and sham groups; (b) Scatter plot analysis of the transcriptomes. Significant genes based on cut-off values with |FC| ≥1.5 and p-value < 0.05 were marked as blue dots and the putative candidates for biomarkers were marked as red dots; (c) KEGG pathway analysis using significant genes based on cut-off values with |FC| ≥1.5 and p-value ≤0.05 in comparison between AI-30 and sham groups. The enrichment map test p-value and gene ontology of each pathway were shown in upper and low right corners, respectively; (d) KEGG pathway mapping of the IL-17 signaling pathway. Annotated genes in transcriptome analysis were mapped against KEGG pathway maps (www.kegg.jp/kegg/kegg1.html) using a KEGG mapper tool (http://www.kegg.jp/kegg/tool/map_pathway2.html)^39,40,41. Candidate genes with significance was marked with red asterisks; (e,f) RQ-PCR analysis of genes which were significantly represented in the IL-17 signaling pathway (e) and HIF-1 signaling pathway (f) on KEGG pathway analysis. Expression is presented as % Gapdh and shown as dot plot of mean ± SEM (n = 10; *p < 0.05, **p < 0.01, and ***p < 0.001, compared with the sham group; ^###p < 0.05, ^###p < 0.01, and ^###p < 0.001, compared with the AI-30 group); (f) GSEA enrichment plots of gene sets representing aging muscle upregulation gene set (top panel)¹⁸ and genes involved in inflammatory response LPS upregulation gene set (bottom panel)¹⁹ in a comparison of AI-30 versus sham transcriptomes; GSEA, gene set enrichment analysis; NES, normalized enrichment score; FDR, false discovery rate. Source data with exact p-values and number of replicates can be found in the Supplementary Dataset.