862 RashX: Immune single-cell transcriptional classification of human chronic inflammatory skin disease

We have developed one of the largest single-cell transcriptomic datasets CD45+ immune cells in human inflammatory skin disease, including 13 psoriasis and 11 atopic dermatitis samples. Our analyses identify skin-resident memory T as containing primary molecular signature differentiating dermatitis, composed 78 transcripts with disease specificity at a p value < 0.001, only which been previously reported. Recomposition into pseudo-bulk transcriptomes diminishes discriminative significance all but 2 these genes, demonstrating critical role approaches discriminating states. Based on discoveries, we further refined RNA sequencing profile database initially designed to help compare atypical chronic rash cases order direct therapeutic choice. To make this resource readily accessible, present digital interface by any research group can submit 10X Genomics scRNA-seq dataset visualize sample context samples (accessible https://rashX.ucsf.edu) validate its utility 15 cutaneous from 4 external studies.