Co-expression network analysis reveals the pivotal role of mitochondrial dysfunction and interferon signature in juvenile dermatomyositis

• Published in: PeerJ (San Francisco, CA) Vol. 8; p. e8611
• Main Authors: Zhong, Danli, Wu, Chanyuan, Bai, Jingjing, Xu, Dong, Zeng, Xiaofeng, Wang, Qian
• Format: Journal Article
• Language: English
• Published: United States PeerJ. Ltd 18.02.2020; PeerJ, Inc; PeerJ Inc
• Subjects: Biochemistry; Bioinformatics; Biological response modifiers; Connectivity; Data collection; Datasets; Deferoxamine; Dermatology; Dermatomyositis; Digital map services; Disease; Diseases; DNA microarrays; Felodipine; Gene expression; Genes; Genomes; Hub genes; Inflammation; Interferon; Internal Medicine; Juvenile dermatomyositis; Mitochondria; Physiological aspects; Principal components analysis; Protein interaction; Protein-protein interactions; Rapamycin; Rheumatology; Small-molecule compounds; Statistics; Trichostatin A; Valproic acid; Weighted gene co-expression network analysis; United States > US; Juvenile dermatomyositis; Hub genes; Small-molecule compounds; Weighted gene co-expression network analysis

Juvenile dermatomyositis (JDM) is an immune-mediated disease characterized by chronic organ inflammation. The pathogenic mechanisms remain ill-defined. Raw microarray data of JDM were obtained from the gene expression omnibus (GEO) database. Based on the GSE3307 dataset with 39 samples, weighted cor...