Gene expression profile of epidermis from psoriasis lesions and healthy controls
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ABSTRACT:
PROVIDER: PRJNA700654 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Psoriasis is characterized by hyperplasia and disrupted differentiation of keratinocytes. Keratinocytes are considered not only the target but also the critical participants. To explore the role of keratinocytes in psoriasis, we used microarrays to compared gene expression profile of epidermis between psoriasis lesions and healthy normal skin.
2021-02-09 | GSE166388 | GEO
Project description:The study focuses on the cellular composition of the psoriasis epidermis, using single-cell transcriptomics to identify cell subsets and their interactions in both healthy and psoriatic skin. The research uncovers three keratinocyte populations and seven immune cell subsets exclusive to psoriatic lesions. A significant finding is the identification of a previously undetected population of plasmacytoid dendritic cells (pDCs) in the psoriatic epidermis, suggesting their role in the disease's pathogenesis. The study also highlights enhanced keratinocyte-immune cell interactions in psoriatic lesions, contributing to our understanding of psoriasis at the cellular level.
2024-06-25 | GSE254707 | GEO
Project description:In psoriasis, neutrophils accumulate in the epidermis or scatter in the dermis, which may contribute to the inflammation by releasing a variety of cytokines, chemokines, as well as various enzymes and antimicrobe proteins (AMPs). However, the exact role of neutrophils needs to be further illustrated. To identify the differences between psoriasis neutrophils and healthy ones, we analyzed microarray expression data from 3 peripheral neutrophil samples of psoriasis patients and 3 samples of healthy controls. This study identifies that neutrophils are activated and regulated in psoriasis, and these DEGs may contribute to the development of psoriasis.
2019-04-17 | GSE106087 | GEO
Project description:Background and Aims: Chronic plaque psoriasis results from genetic and environmental factors that activate inflammatory pathways involving both innate and adaptive immunity. Although the histological features are well known, protein-level changes—especially with spatial resolution—are less understood. This study aimed to investigate layer-specific proteomic changes in psoriatic skin. Methods: Skin biopsies from psoriasis patients (N=8) and healthy controls (N=8) were separated into four layers (stratum corneum, inner epidermis, dermis, subcutis) using laser-capture microdissection. Proteins were extracted and analyzed by mass spectrometry. Results: We identified 7,236 proteins, with 1,649 differentially expressed in lesional vs. non-lesional inner epidermis. Upregulated proteins were linked to innate immunity, cholesterol synthesis and tissue structure. The stratum corneum in lesions showed more complex protein profiles than in controls. The dermis displayed increased proteins related to IL-17 signaling and neutrophil recruitment. No significant changes were found in the subcutis. Conclusion: This dataset highlights the inner epidermis as a key site of proteomic alterations in psoriasis, driven by proteins related to immune activity, tissue structure and cholesterol synthesis. The layer-specific approach offers detailed spatial insights into disease-associated protein changes.
2025-06-10 | PXD063539 | Pride
Project description:Psoriasis is a common chronic inflammatory skin disease determined by genetic and environmental factors, resulting in IL-23/IL-17-mediated immune activation and epidermal hyperproliferation and activation. Here, we performed RNA sequencing of CD45-negative epidermal cells from psoriasis lesions and healthy skin to characterize the landscape of coding and non-coding transcripts in keratinocytes in psoriasis and healthy skin.
2025-02-18 | GSE274560 | GEO
Project description:The microarray experiment was employed to evaluate the gene expressions in skin lesions of LP, hypertrophic LP (HLP), and healthy controls.
2020-01-01 | GSE130403 | GEO
Project description:Transcriptomic profiling of LP lesions, hypertrophic LP (HLP) lesions, and healthy controls
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Project description:This study aimed to identify disease-specific transcriptomic signatures and compare them with those of psoriasis and healthy controls to distinct molecular markers. Differential expression analysis revealed key genes associated with epidermal barrier function and inflammation, including FLG, SPINK5, LOR, and SERPINB4, highlighting the unique molecular features of psoriasis in Asian populations. This dataset offers a valuable resource for advancing the understanding of psoriasis pathogenesis and exploring potential therapeutic targets.
2025-04-25 | GSE295540 | GEO
Project description:Background: Psoriasis is a systemic inflammatory disease primarily affecting the skin. Approximately one-third of psoriasis patients develop joint involvement and are diagnosed with psoriatic arthritis (PsA). While, inIn adult-onset disease, adults, the development of arthritis usually follows skin psoriasis, but approximately 15% experience arthritis first, which can delay diagnosis. While the pathophysiology of psoriasis and PsA is incompletely understood, epigenetic dysregulation affecting CD4+ and CD8+ T-cells has been suggested. Objectives: This project aimed to identify disease-associated DNA methylation signatures in CD4+ T-cells from psoriasis and PsA patients that may be used as diagnostic and/or prognostic biomarkers. Methods: PBMCs were collected from 12 patients with chronic plaque skin psoriasis and 8 PsA patients, and 8 healthy controls. CD4+ T-cells were separated through FACS sorting, and DNA methylation profiling was performed (Illumina EPIC850K arrays). Bioinformatic analyses, including gene ontology (GO) and KEGG pathway analysis, were performed using R software. To identify genes under the control of interferon (IFN), the Interferome database was consulted, and DNA Methylation Scores were calculated. Results: Numbers and proportions of CD4+ T-cell subsets (naïve, central memory, effector memory, CD45RA re-expressing effector memory cells) did not vary between controls, skin psoriasis and PsA patients. 883 differentially methylated positions (DMPs) affecting 548 genes were identified between healthy controls and “all” psoriasis patients. Principal component and partial least-squares discriminant analysis separated controls from skin psoriasis and PsA patients. GO analysis considering promoter DMPs delivered hypermethylation of genes involved in “regulation of wound healing, spreading of epidermal cells”, “negative regulation of cell-substrate junction organization” and “negative regulation of focal adhesion assembly”. Comparing controls and “all” psoriasis, a majority of DMPs mapped to IFN-related genes (69.2%). Notably, DNA methylation profiles also distinguished skin psoriasis from PsA patients (2,949 DMPs/1,084 genes) through genes affecting “cAMP-dependent protein kinase inhibitor activity” and “cAMP-dependent protein kinase regulator activity” (GO analysis). Treatment with cytokine inhibitors (IL-17/TNF) corrected DNA methylation patterns of IL-17/TNF-associated genes, and methylation scores correlated with skin disease activity scores (PASI). Conclusion: DNA methylation profiles in CD4+ T-cells discriminate between skin psoriasis and PsA. DNA methylation signatures may be applied for quantification of disease activity and patient stratification towards individualized treatment. The aim of this study was to identify disease-associated DNA methylation signatures in CD4+ T-cells from patients with psoriasis and PsA that may be used as diagnostic and/or prognostic biomarkers to inform treatment and care.
2023-09-14 | GSE236695 | GEO
Project description:Background: Psoriasis is a systemic inflammatory disease primarily affecting the skin. Approximately one-third of psoriasis patients develop joint involvement and are diagnosed with psoriatic arthritis (PsA). While, inIn adult-onset disease, adults, the development of arthritis usually follows skin psoriasis, but approximately 15% experience arthritis first, which can delay diagnosis. While the pathophysiology of psoriasis and PsA is incompletely understood, epigenetic dysregulation affecting CD4+ and CD8+ T-cells has been suggested. Objectives: This project aimed to identify disease-associated DNA methylation signatures in CD4+ T-cells from psoriasis and PsA patients that may be used as diagnostic and/or prognostic biomarkers. Methods: PBMCs were collected from 12 patients with chronic plaque skin psoriasis and 8 PsA patients, and 8 healthy controls. CD4+ T-cells were separated through FACS sorting, and DNA methylation profiling was performed (Illumina EPIC850K arrays). Bioinformatic analyses, including gene ontology (GO) and KEGG pathway analysis, were performed using R software. To identify genes under the control of interferon (IFN), the Interferome database was consulted, and DNA Methylation Scores were calculated. Results: Numbers and proportions of CD4+ T-cell subsets (naïve, central memory, effector memory, CD45RA re-expressing effector memory cells) did not vary between controls, skin psoriasis and PsA patients. 883 differentially methylated positions (DMPs) affecting 548 genes were identified between healthy controls and “all” psoriasis patients. Principal component and partial least-squares discriminant analysis separated controls from skin psoriasis and PsA patients. GO analysis considering promoter DMPs delivered hypermethylation of genes involved in “regulation of wound healing, spreading of epidermal cells”, “negative regulation of cell-substrate junction organization” and “negative regulation of focal adhesion assembly”. Comparing controls and “all” psoriasis, a majority of DMPs mapped to IFN-related genes (69.2%). Notably, DNA methylation profiles also distinguished skin psoriasis from PsA patients (2,949 DMPs/1,084 genes) through genes affecting “cAMP-dependent protein kinase inhibitor activity” and “cAMP-dependent protein kinase regulator activity” (GO analysis). Treatment with cytokine inhibitors (IL-17/TNF) corrected DNA methylation patterns of IL-17/TNF-associated genes, and methylation scores correlated with skin disease activity scores (PASI). Conclusion: DNA methylation profiles in CD4+ T-cells discriminate between skin psoriasis and PsA. DNA methylation signatures may be applied for quantification of disease activity and patient stratification towards individualized treatment. The aim of this study was to identify disease-associated DNA methylation signatures in CD4+ T-cells from patients with psoriasis and PsA that may be used as diagnostic and/or prognostic biomarkers to inform treatment and care.
2023-09-14 | GSE236694 | GEO