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. Author manuscript; available in PMC: 2020 Jan 1.
Published in final edited form as: Nat Immunol. 2019 Jul 1;20(8):1071–1082. doi: 10.1038/s41590-019-0419-9

Figure 6. SLE transcription factor networks correlate with disease-specific transcriptomes.

Figure 6.

(a) Heatmap of 5,090 DEG that stratify SLE and HC cell types. DEG represent features with >=2-fold change and FDR < 0.05 as determined by edgeR. (b) GSEA plots for the indicated gene set showing the enrichment score for each SLE cell type compared to HC. See also Supplementary Fig. 8. (c) Volcano plot of DAR between all HC and SLE cell types. DAR represent features with >=2-fold change and FDR < 0.05 as determined by edgeR. (d) Heatmap of the log2 fold change (FC) of PageRank statistic for each cell type between SLE and HC. (e) Bar plot of gene expression levels for selected factors from d. Data for each gene is summarized for all HC and SLE cell types and is displayed as mean ±SD. * indicates DEG between SLE and HC (>=2-fold change and FDR < 0.05) as determined by edgeR. See also Supplementary Fig. 8. (f) qRT-PCR analysis of select genes in rN B cells from an independent cohort of HC (n = 15) and SLE (n = 8). Data represent mean ±SD and are normalized to percentage of ACTB expression. Significance determined by two-tailed Student’s t-test. (g) Network diagram depicting gene sets from b that are regulated by EGR factors. Line thickness is scaled to significance as determined by Fisher’s Exact test. See also Supplementary Fig. 8.