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Transcriptomic profiling of spleen tissue in a mouse model of psoriasiform inflammation

ABSTRACT: This study aims to characterize transcriptomic changes in the spleen of psoriasis-like mouse models induced by different experimental approaches. Psoriasis is a chronic inflammatory disease associated with systemic immune dysregulation beyond the skin. In this study, female BALB/c mice were used to establish psoriasis-like inflammation models via topical application of imiquimod (IMQ) to the dorsal skin (PSO-D) or ear (PSO-E), as well as IL-23-induced ear inflammation. Control mice (Con) received vehicle treatment. Spleen tissues were collected for RNA sequencing (RNA-seq) to investigate systemic immune responses. Total RNA was extracted from spleen tissues and subjected to high-throughput sequencing. Clean reads were aligned to the mouse reference genome (GRCm39), and gene expression levels were quantified. Differential expression analysis and functional enrichment analyses (including Gene Ontology and KEGG pathways) were performed. This dataset provides a comprehensive resource for understanding systemic immune alterations in different psoriasis-like models and may help elucidate mechanisms underlying immune dysregulation.

ORGANISM(S): Mus musculus

PROVIDER: GSE329912 | GEO | 2026/05/05

REPOSITORIES: GEO

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Project description:Objectives: To understand the crosstalk between the immune system and keratinization in psoriatic skin, using a systems biology approach based on transcriptomics, proteomics and microbiome profiling. Methods: We collected the skin tissue biopsies and swabs in both lesion and non-lesion skin of 13 patients with psoriasis (PsO), 15 patients with psoriatic arthritis (PsA), and healthy skin from 12 patients with ankylosing spondylitis (AS). We performed transcriptome sequencing and metagenomics profiling on the local skin sites to study the similarities and differences in the molecular profiles between the three conditions. To assess the systemic nature of the disease, we performed a high-throughput proteome profiling to study the profiles of proteins circulating in the serum of the same donors. Results: We found that lesion and non-lesional samples were remarkably different in terms of their transcriptome profiles. Functional annotation of differentially expressed genes (DEGs) showed a major enrichment in neutrophil activation. By using co-expression gene networks, we identified a gene module that was associated with local psoriasis severity at the site of biopsy. From this module, we extracted a “core” set of genes that were functionally involved in neutrophil activation, epidermal cell differentiation and response to bacteria. Skin microbiome analysis revealed that the abundance of Enhydrobacter, Micrococcus and Leptotrichia were significantly correlated with the “core network” of genes. We further identified 39 circulating proteins from the serum that were significantly correlated with the corresponding local skin gene expression, highlighting systemic aberrations due to skin disease. Integration of “core” genes identified from skin with circulating protein profiles revealed PI3 as a key biomarker for psoriasis. Conclusions: We identified a core network that regulates inflammation and hyper-keratinization in psoriatic skin, and is associated with local disease severity and microbiome composition. Multi-omics analysis identified PI3 as a psoriasis-specific biomarker for disease severity and potential target for treatment strategies.

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Transcriptomic profiling of spleen tissue in a mouse model of psoriasiform inflammation

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