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. 2025 Aug 21;16:1607131. doi: 10.3389/fmicb.2025.1607131

Figure 7.

Various data visualizations related to gene expression analysis. (a) An upset plot showing intersections of different data sets. (b) A heatmap depicting sample groups A, B, C, and D with color-coded values.(c) A PCA plot displaying clustering of groups A, B, C, and D.(d) A bar chart of upregulated and downregulated genes between comparisons A vs. C and C vs. D.(e) Volcano plots for comparisons A vs. C and C vs. D, illustrating significance and fold changes of genes.(f) A detailed heatmap with hierarchical clustering of genes.(g) Line graphs depicting profiles of gene expression across different groups.(h) A Venn diagram showing overlap in gene expression between comparisons A vs. C and C vs. D.

Transcriptomic analysis of mRNA expression and differential gene expression in small intestinal tissues. (a) Gene expression analysis. (b) Sample correlation analysis. (c) Principal component analysis (PCA). (d) Summary of differentially expressed genes. (e) Volcano plots of differentially expressed genes: A vs. C and C vs. D. (f) Cluster analysis: genes are represented horizontally, with red indicating high expression and green indicating low expression. (g) Trend analysis: the x-axis represents samples arranged sequentially from A to D, and the y-axis represents the average expression level of all genes in each sample. The number of genes corresponding to each cluster is shown in the header. (h) Venn diagram of DEGs between A vs. C and C vs. D. A, Control group, n = 5; B, RIV group, n = 6; C, MCT group, n = 6; D, MCT + RIV group, n = 5.