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. 2021 May 6;12(5):450. doi: 10.1038/s41419-021-03724-6

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — A Schematic view of the workflow. B Left, human full-thickness skin cell types. Visualization using UMAP of skin cells, each point represents one cell. Color coding based on unique cell clusters, as shown at right beside. Right, UMAP plot was folked from left side and colored by samples. Ctrl 1–3, samples from healthy donors; Psor 1–3, samples from patients with psoriasis vulgaris. C Expression of selected top significant marker genes for five main cell type clusters; relative expression of each gene in each cluster was visualized as violin plot, and the raw counts of each gene were visualized as sparkline plot in that violin plot. D Radar plot visualization of cell-type probabilistic scores of human full-thickness skin cells in relation to our defined cell types. Each dot represented one cell. Color coding based on unique cell clusters. The position of each dot indicated the cell-type score between that cell and the training (defined) cell types which were indicated outside of each bend in the radar wheel. Almost all cells were correctly assigned to their defined cell types.