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Fig. 2 | Journal of Translational Medicine

Fig. 2

From: Bioinformatics analyses of combined databases identify shared differentially expressed genes in cancer and autoimmune disease

Fig. 2

Identification and analyses of DEGs in IDC and SLE by GEO2R. A and B The volcano plots illustrate the differential gene expressions in five IDC (A) and five SLE (B) datasets. The negative log10-transformed p values (Y axis) are plotted against the average log2 fold changes (X axis) in gene expressions. Identified DEGs are shown in red (log2 (FC) > 1) and blue (log2 (FC) < -1). The p value cut-off is < 0.05. C and D Venn diagrams show intersected DEGs among five IDC (C) and five SLE (D) datasets. The area is proportional to the number of genes. E Venn diagram showing the total and intersected numbers of DEGs in IDC and SLE. F PPI network of top 10 genes out of the 27 overlapping DEGs based on BC values obtained from Cytoscape plug-in Cytohubba. Colors represent BC values from high (red) to low (yellow). G GO and KEGG enrichment analysis of 27 DEGs shown in E

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