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Single cell transcriptional zonation of human psoriasis whole skin

ABSTRACT: To explore the cellullar and molecular alteration of human psoriasis, we collected full-thickness skin from the lesion region of 3 patients and the similar region of 3 healthy donors, and submit for single cell RNA sequencing (scRNAseq) with 10x genomics (V3.1). The transcriptional landscape of human psoriasis whole skin provide a unique view of immuno-regulation among skin cell types. 1. "Single cell transcriptional zonation of human psoriasis skin identifies an alternative immunoregulatory axis",, 2021 May 6;12(5):450. https://yz-studio.shinyapps.io/shinyapph5ad/ 2. "Integrative single-cell transcriptomic investigation unveils long non-coding RNAs associated with localized cellular inflammation in psoriasis" 2023 Sep 26:14:1265517. Integrated dataset: 106,675 cells from 11 healthy human skin and 79,887 cells from 9 psoriatic human skin https://yz-studio.shinyapps.io/psoriaticskincellatlas2/

ORGANISM(S): Homo sapiens

PROVIDER: GSE162183 | GEO | 2021/04/26

REPOSITORIES: GEO

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Project description:Development of a suitable mouse model would facilitate the investigation of pathomechanisms underlying human psoriasis and would also assist in development of therapeutic treatments. However, while many psoriasis mouse models have been proposed, no single model recapitulates all features of the human disease, and standardized validation criteria for psoriasis mouse models have not been widely applied. In this study, whole-genome transcriptional profiling is used to compare gene expression patterns manifested by human psoriatic skin lesions with those that occur in five psoriasis mouse models (K5-Tie2, imiquimod, K14-AREG, K5-Stat3C and K5-TGFbeta1). While the cutaneous gene expression profiles associated with each mouse phenotype exhibited statistically significant similarity to the expression profile of psoriasis in humans, each model displayed distinctive sets of similarities and differences in comparison to human psoriasis. For all five models, correspondence to the human disease was strong with respect to genes involved in epidermal development and keratinization. Immune and inflammation-associated gene expression, in contrast, was more variable between models as compared to the human disease. These findings support the value of all five models as research tools, each with identifiable areas of convergence to and divergence from the human disease. Additionally, the approach used in this paper provides an objective and quantitative method for evaluation of proposed mouse models of psoriasis, which can be strategically applied in future studies to score strengths of mouse phenotypes relative to specific aspects of human psoriasis. Global transcriptional profiling was utilized to evaluate the similarity between human psoriasis and the psoriasis-like phenotypes that develop in five mouse models (K5-Tie2, IMQ, K14-AREG, K5-Stat3C, K5-TGFbeta1) Expression patterns associated with mouse phenotypes were evaluated by comparing lesional skin from transgenic or IMQ-treated mice (n = 2-3) with normal skin obtained from control mice (n = 2-3).

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Single cell transcriptional zonation of human psoriasis whole skin

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