Fig. 1: Identification of immune modules through cross-comparison of inflammatory skin disease profiles. | Nature Communications

Fig. 1: Identification of immune modules through cross-comparison of inflammatory skin disease profiles.

From: Immune modules to guide diagnosis and personalized treatment of inflammatory skin diseases

Fig. 1

a Sentinel biopsies from psoriasis (PsO), atopic dermatitis (AD), neutrophilic diseases (NeuD), lichen planus (LP), cutaneous lupus erythematosus (CLE), and Wells syndrome (Wells) patients were profiled. The expression levels for each disease were plotted against profiles of all other diseases to identify differentially expressed genes (DEG) that define modules. Volcano plots depict DEGs, with dashed lines indicating the significance threshold defined as log2 fold change > 2 and p value < 0.01 derived from two-sided t-tests. b UMAP projection of sentinel profiles based on module expression, demonstrating clustering according to disease. c Heatmap of sentinel profiles based on modules, showing hierarchical clustering along with disease-specific expression of modules. The color gradient reflects expression levels given as z-scores. d Hierarchical clustering of sentinel profiles based on expression of either module genes, the complete gene panel, or NS Forest minimal gene markers, shown by dendrograms. Clustering accuracy is indicated by the Fowlkes–Mallows (FM) index.

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