Whole-Transcriptome Sequencing Combined with High-Dimensional Proteomic Technologies Reveals the Potential Value of miR-135b-5p as a Biomarker for Hepatocellular Carcinoma

Figure 2

Differentially expressed gene analysis, pathway enrichment analysis, and miRNA-related bioinformatics analyses. (a) Heatmap shows DEGs between the miR-135b-5p-high and miR-135b-5p-low groups. (b) Heatmap shows indicated DEGs between the miR-135b-5p-high and miR-135b-5p-low groups. (c) Chordal graph shows certain GO pathways. (d) Dot plot shows the top 20 KEGG pathways (ranked by the value). (e) Regulatory network between miR-135b-5p and potential target genes (left); only the tumor-promoting genes are shown based on previously published research; scatter plot shows the correlation between miR-135b-5p and TNK1 (right). (f) Regulatory network between miR-135b-5p and coexpressed genes (left); red lines and blue lines indicate positive correlation and negative correlation, respectively; scatter plot shows the correlation between miR-135b-5p and SOX9 (right). (g) Box plot shows the expression of LCSC-related genes in the miR-135b-5p-high and miR-135b-5p-low groups.

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