Fig. 4: Signalling pathways differentiate between key populations in Sjogren’s syndrome and Sicca syndrome.
From: Molecular and spatial analysis of tertiary lymphoid structures in Sjogren’s syndrome
a Volcano plot illustrating differentially expressed genes detected between pseudobulked Sjogren’s syndrome (SjS) and Sicca samples. Statistical testing completed using DESeq2 to fit a negative binomial generalised linear model with Wald test to calculate p-values and Benjamini-Hochberg method to correct for multiple comparisons. b Expression of genes related to signalling pathways and tertiary lymphoid structure formation in subsets from Sjogren’s syndrome or Sicca syndrome. c Select differentially expressed genes detected between single-cell clusters of immunofibroblasts or CCL21 CCL19 pericytes between SjS and sicca, data are plotted as z-scores of the summed aggregate of all samples for each cluster including all samples. d qPCR analysis for mRNA transcripts of IFNG, CXCL9, CCL21, CD40, CXL13, CCL19, TNFSF13B and TNFSF13B in in whole tissue RNA extracts from SjS and Sicca biopsies. mRNA transcripts were normalized to the housekeeping gene GAPDH RNA transcripts. Number of asterisks indicate significance: *p < 0.05; **p < 0.01, Mann–Whitney test, two-tailed. Data are representative as mean ± s.e.m, n = 10-15 (IFNG, CXCL9, CCL21, CD40, CXL13 and CCL19) and n = 8–10 (TNFSF13B and TNFSF13B).
