Fig 1: Lymphoid-specific NR4A subset genes correlate with RA synovial tissue pathotype and increase in blood during RA flare(A) Boxplots of histology by tertile demonstrating correlation with CD83 (Padj lymphoid versus myeloid = 3.0e–02; Padj myeloid versus fibroid = 3.4e–02; Padj lymphoid versus fibroid = 3.3e–07), GPR183 (Padj lymphoid versus myeloid = 5.4e–03; Padj myeloid versus fibroid = 4.6e–02; Padj lymphoid versus fibroid = 4.1e–08) and LY9 (Padj lymphoid versus myeloid = 1.4e–07; Padj myeloid versus fibroid = 8.0e–01; Padj lymphoid versus fibroid = 5.0e–07). p values were calculated by linear regression models.(B) Correlation heatmap showing spearman correlations of CD3, CD20, CD138, CD68L, and CD68SL histology scores and ultrasound biopsy joint parameters (ST, synovial thickness; PD, power Doppler) at the biopsy joint (ultrasound ST/PD BJ) against CD83, GPR183, LY9, and NR4A1-3 expression. The stars represent the significance of the correlation coefficient: *p < 0.05, **p < 0.01, ***p < 0.001. The plots and p values were analyzed from Lewis et al. (2019).(C) Relative expression of marker genes (see STAR Methods for details of calculation) from the synovial B cell subpopulations in the weeks before and after flare (Orange et al., 2020). See Table S2 for list of overlapping genes. Top panel shows the mean RAPID3 disease activity for the four donors studied. The dashed vertical line marks the time at flare. See also Figure S9.