biostudies-literatureUnknown16Tang H<h4>Background</h4>Psoriasis is a chronic immune-mediated skin disease driven by the interleukin-23/interleukin-17 cytokine axis, yet its immunopathogenesis remains incompletely understood. Housekeeping genes, traditionally considered stably expressed across tissues and cell types, have not been systematically investigated for their role in psoriasis. Here, we aimed to identify psoriasis-associated housekeeping genes and explore their molecular mechanisms and clinical implications.<h4>Methods</h4>We integrated multi-cohort data and identified psoriasis-associated housekeeping genes using weighted gene co-expression network analysis combined with differential expression analysis. Single-cell transcriptomic analysis was performed to identify cell-type specific expression patterns, while ligaFrontiers in immunology1601705https://www.ebi.ac.uk/biostudies/studies/S-EPMC12433973biostudies-literatureHousekeeping gene dysregulation in psoriasis: integrative multi-cohort and single-cell analysis reveals keratinocyte-centric molecular mechanisms and diagnostic biomarkers.PMC12433973Jiang YLv WFeng GZhang SWang JCheng XChen RZhang RMeng XTang HfalseHousekeeping gene dysregulation in psoriasis: integrative multi-cohort and single-cell analysis reveals keratinocyte-centric molecular mechanisms and diagnostic biomarkers.<h4>Background</h4>Psoriasis is a chronic immune-mediated skin disease driven by the interleukin-23/interleukin-17 cytokine axis, yet its immunopathogenesis remains incompletely understood. Housekeeping genes, traditionally considered stably expressed across tissues and cell types, have not been systematically investigated for their role in psoriasis. Here, we aimed to identify psoriasis-associated housekeeping genes and explore their molecular mechanisms and clinical implications.<h4>Methods</h4>We integrated multi-cohort data and identified psoriasis-associated housekeeping genes using weighted gene co-expression network analysis combined with differential expression analysis. Single-cell transcriptomic analysis was performed to identify cell-type specific expression patterns, while liga2025-01-01T00:00:00Z20252026-06-01T14:02:49.918Z2026-04-08T13:14:31.149ZS-EPMC124339734095907910.3389/fimmu.2025.1601705