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April 4, 2026Psoriasis Targets and TherapyOpen Access

Core Differentially Expressed Genes in Psoriasis Lesions: An Integrated Analysis of Four GEO Datasets

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Authors

MEMariem EnnouriZGZeliha GörmezEBE. Bahloul

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Overview

Explores gene dysregulation in psoriasis lesions, highlighting potential diagnostic and treatment targets.

Key Points

  • To identify core genes involved in psoriasis pathogenesis through integrative bioinformatics analysis.
  • Analyzed four independent transcriptomic datasets using bioinformatics tools.
  • Constructed a protein–protein interaction network using the STRING database.
  • Identified dysregulated genes and analyzed key gene modules relevant to disease pathways.
  • Identified 32 genes consistently dysregulated across all datasets.
  • Significant involvement in keratinization and cornified envelope formation processes.
  • Found multiple gene families linked to skin homeostasis and inflammation contributing to psoriasis.

Cite This Study

Ennouri et al. (2026) studied this question.

synapsesocial.com/papers/69d0aefd659487ece0fa4ee1https://doi.org/10.2147/ptt.s580680
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Transcriptomic characterization of key psoriasis-associated genes based on single-cell RNA-seq and machine learning2026
  2. 2Discovery of biomarkers in the psoriasis through machine learning and dynamic immune infiltration in three types of skin lesions2024 · 17 citations
  3. 3Identifying key inflammatory genes in psoriasis via weighted gene co-expression network analysis: Potential targets for therapy2024 · 2 citations
  4. 4Transcriptomic meta‐analysis identifies core molecular pathways in plaque psoriasis2026 · 1 citations
  5. 5Integrative analysis of gene and microRNA expression profiles reveals candidate biomarkers and regulatory networks in psoriasis2024 · 1 citations