Journal: Oxidative Medicine and Cellular Longevity
Article Title: Identification of Novel Key Genes and Pathways in Multiple Sclerosis Based on Weighted Gene Coexpression Network Analysis and Long Noncoding RNA-Associated Competing Endogenous RNA Network
doi: 10.1155/2022/9328160
Figure Lengend Snippet: Hub gene validation. (a) Venn diagram used to select the hub candidates. The key genes in the cyan module, hub nodes in the PPI of the cyan module, and the genes in the designed ceRNA network were intersected to obtain 15 common genes. (b) Sub-ceRNA network of hub genes. This network is composed of three hub genes, four lncRNAs, four miRNAs, and 13 interactions. (c) Receiver operating characteristic (ROC) curve of CYBRD1 . Area under the curve (AUC) = 0.7963, P = 0.01359. (d) ROC curve of GNG12 . AUC = 0.7840, P = 0.01802. (e) ROC curve of SMAD1 . AUC = 0.7377, P = 0.04773. (f) The representative result of genomes and gene set enrichment analysis (GSEA) for CYBRD1 . “Valine leucine and isoleucine degradation” is highly related to a high expression of CYBRD1 . (g) The representative result of GSEA for GNG12 . “Base excision repair” is highly related to a high expression of GNG12 . (h) The representative result of GSEA for SMAD1 . “Fatty acid metabolism” is highly related to a high expression of SMAD1 . P < 0.05 indicates significance.
Article Snippet: The diagnostic accuracy of these genes was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve using GraphPad Prism 5.0.
Techniques: Biomarker Discovery, Expressing