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Fig. 2 | Pediatric Rheumatology

Fig. 2

From: Network analysis and juvenile idiopathic arthritis (JIA): a new horizon for the understanding of disease pathogenesis and therapeutic target identification

Fig. 2

Network analysis of age-related gene expression in JIA. Age-related gene expression in JIA and control pediatric groups was derived from published sources (JIA & Controls: Barnes et al. [41], GSE 20307; Controls: Stevens et al. [36]). Age groups: Less than 6 years of age [<6], polyarticular JIA n = 16 [657 genes], oligoarticular JIA n = 24 [530 genes], controls n = 63 [438 genes]; greater than or equal to 6 years of age [≥6], polyarticular JIA n = 28 [512 genes], oligoarticular JIA n = 16 [811 genes], controls n = 71 [415 genes]. (a) Interactome network models inferred from age-related gene expression were generated using the BioGRID database (http://thebiogrid.org/; version 3.2.103); yellow = protein derived from gene with age-related change in expression, blue = protein inferred to interact in association with age-related gene expression. Interactome models were generated for the <6 and ≥6 age groups for polyarticular and oligoarticular JIA [41] along with the control group (combined data from Barnes et al. [41] & Stevens et al. [36]). To generate JIA specific age-related interactome models the control networks were “subtracted” from the JIA derived networks using the “network differences” plugin within Cytoscape 2.8.3 [23]. JIA specific age-related gene expression identified was used to determine associated biological pathways (hypergeometric test with Benjamini-Hochberg false discovery rate modification [FDR]; performed using WEB-based GEne SeT AnaLysis Toolkit [Webgestalt; http://bioinfo.vanderbilt.edu/webgestalt/]). Top biological pathways associated with age-related gene expression ranked by FDR modified p-value (b) specific for polyarticular JIA and (c) specific for oligoarticular JIA

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