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Fig. 2 | Arthritis Research & Therapy

Fig. 2

From: Network analysis of synovial RNA sequencing identifies gene-gene interactions predictive of response in rheumatoid arthritis

Fig. 2

PPAR-γ signaling is key driver of the diffuse-myeloid pathotype while Wnt/Notch signaling pathways characterize the pauci-immune fibroid pathotype. A Network of unique active interactions in the diffuse-myeloid pathotype. Cluster DM1. Extracellular matrix genes for focal adhesion (75.6% enrichment). Cluster DM2. Cluster of PPAR signaling pathway (78.6% enrichment). B Network of unique active interactions in the pauci-immune fibroid pathotype. Cluster PF1. Group of focal adhesion genes comprising collagens, integrins and laminins (93.3% enrichment). Cluster PF2. Cluster of genes of the Ras signaling pathway (76.6% enrichment). Cluster PF3. Clusters of Notch-, Wnt- and TGF-beta signaling (95.8% enrichment). Cluster PF4. Cytokine-cytokine interaction of pro-inflammatory genes (100% enrichment) Cluster PF5. Vescular permeability genes (57.1% enrichment). C Correlation plots showing differential gene-gene correlations with interactions associated with pathotype. Statistical analysis by robust linear regression model. p-value of the gene to pathotype interacting term is shown. Regression plot of ITGAV and LAMA3, WNT11 and SFRP2 in different pathotypes

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