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Research Article

Identification of Potential Differentially-Methylated/Expressed Genes in Chronic Obstructive Pulmonary Disease

, , , , , , , & show all
Pages 44-54 | Received 31 Aug 2022, Accepted 08 Dec 2022, Published online: 19 Jan 2023

Figures & data

Figure 1. The volcano plot and heat map of all DEGs and DMGs. (a) The volcano plot of all DEGs; (b) the heat map of all DEGs; and (c) the volcano plot of all DMGs.

Figure 1. The volcano plot and heat map of all DEGs and DMGs. (a) The volcano plot of all DEGs; (b) the heat map of all DEGs; and (c) the volcano plot of all DMGs.

Figure 2. The Venn diagram of 81 hypermethylated-down-regulated genes (a) and 121 hypomethylated-up-regulated genes (b).

Figure 2. The Venn diagram of 81 hypermethylated-down-regulated genes (a) and 121 hypomethylated-up-regulated genes (b).

Table 1. Identification of 9 core hypermethylated-low expression genes.

Table 2. Identification of 8 core hypomethylated-high expression genes.

Figure 3. PPI networks of 81 hypermethylated-low expression genes and 121 hypomethylated-high expression genes. (a) PPI network of 81 hypermethylated-low expression genes; (b) PPI network of 9 hypermethylated-low expression genes; (c) PPI network of 121 hypomethylated-high expression genes; (d) PPI network of 8 hypomethylated-high expression genes.

Figure 3. PPI networks of 81 hypermethylated-low expression genes and 121 hypomethylated-high expression genes. (a) PPI network of 81 hypermethylated-low expression genes; (b) PPI network of 9 hypermethylated-low expression genes; (c) PPI network of 121 hypomethylated-high expression genes; (d) PPI network of 8 hypomethylated-high expression genes.

Figure 4. Functional analysis of 81 hypermethylated-low expression genes. (a) GO analysis; (b) KEGG analysis.

Figure 4. Functional analysis of 81 hypermethylated-low expression genes. (a) GO analysis; (b) KEGG analysis.

Figure 5. GO analysis of 121 hypomethylated-high expression genes.

Figure 5. GO analysis of 121 hypomethylated-high expression genes.

Figure 6. The ROC curves of CD247, CCR7, CD5, IKZF1, SLAMF1, IL2RB, CD3E, CD7, IL7R, TREM1, AQP9, CD300LF, CLEC12A, NOD2, IRAK3, NLRP3, LYZ, HEBP2 and NOSIP in COPD.

Figure 6. The ROC curves of CD247, CCR7, CD5, IKZF1, SLAMF1, IL2RB, CD3E, CD7, IL7R, TREM1, AQP9, CD300LF, CLEC12A, NOD2, IRAK3, NLRP3, LYZ, HEBP2 and NOSIP in COPD.

Figure 7. Expression validations of CD247, CCR7, IKZF1, CD7, AQP9, NOD2 and IRAK3 by RT-PCR. *p value < 0.05; **p value < 0.01; ***p value < 0.001.

Figure 7. Expression validations of CD247, CCR7, IKZF1, CD7, AQP9, NOD2 and IRAK3 by RT-PCR. *p value < 0.05; **p value < 0.01; ***p value < 0.001.

Figure 8. Expression validations of CD247, CCR7, CD5, IKZF1, SLAMF1, CD3E, IL7R, AQP9, NOD2, IRAK3, and NOSIP in GSE94916 dataset. *p value < 0.05; **p value < 0.01; ns: not significant.

Figure 8. Expression validations of CD247, CCR7, CD5, IKZF1, SLAMF1, CD3E, IL7R, AQP9, NOD2, IRAK3, and NOSIP in GSE94916 dataset. *p value < 0.05; **p value < 0.01; ns: not significant.
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Data are available in the article.