Bioinformatics analysis and qRT-PCR validation of iron metabolism-related genes in pediatric asthma
Fig 9
Differential gene expression analysis and GSEA according to risk group.
(A–B). Volcano map (A) and heatmap of expression values (B) of differentially expressed genes analysis in high-risk and low-risk groups in the combined Gene Expression Omnibus (GEO) datasets. (C). Mountain plot presentation of four biological functions from gene set enrichment analysis (GSEA) of pediatric asthma (PA) specimens from integrated GEO datasets (combined datasets). (D–G). GSEA results indicated that PA specimens were significantly enriched in Reactome TP53 Regulates Transcription of Caspase Activators and Caspases (D), Plasari TGF-β Targets 10hr DN (E), Rutella Response to Hgf Vs Csf2rb and IL4 Up (F), and Wp Notch Signaling Pathway (G). Pink denotes the low-risk group, whereas purple denotes the high-risk group. In the mountain map, the color represents the adjusted p-value (adj.p-value): darker red indicates a smaller adj.p-value, and darker blue indicates a larger adj.p-value. In the bubble plot, the bubble size represents the gene set size, and the bubble color indicates the adj.p-value, with darker red shades corresponding to smaller values and darker blue shades corresponding to larger values. Red in the heatmap denotes high expression, whereas blue denotes low expression. Gene set enrichment analysis (GSEA) screening criteria were adj.p-value <0.05 and FDR value (q-value) <0.25, along with Benjamini-Hochberg (BH) as the p-value correction method.