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Fig. 2 | Journal of Translational Medicine

Fig. 2

From: Three hematologic/immune system-specific expressed genes are considered as the potential biomarkers for the diagnosis of early rheumatoid arthritis through bioinformatics analysis

Fig. 2

GSEA plot showing most enriched immune-related gene sets in the RA group and OA group. The c5: GO gene set was used to perform the GO enrichment analysis of the expression profile at the overall level. a The most significant enriched immune-related gene set was regulation of natural killer cell mediated immunity (ES = 0.666, NES = 1.615, p < 0.05). b The second significant enriched immune-related gene set was positive regulation of natural killer cell medicated immunity (ES = 0.729, NES = 1.604, p < 0.05). c The third significant enriched immune-related gene set was negative regulation of cytokine production involved in immune response (ES = 0.553, NES = 1.603, p < 0.05). d The fourth significant enriched immune-related gene set was positive regulation of natural killer cell mediated cytotoxicity (ES = 0.766, NES = 1.600, p < 0.05). e The fifth significant enriched immune-related gene set was positive regulation of monocyte chemotaxis (ES = 0.712, NES = 1.510, p < 0.05). F. The sixth significant enriched immune-related gene set was positive regulation of antigen receptor mediated signaling pathway (ES = 0.750, NES = 1.489, p < 0.05). The screening criteria for significant gene sets were p < 0.05 and Q < 0.25. ES: enrichment score; NES: normalized enrichment score; Q: also named False Discovery Rates (FDR)or adjust p value

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