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Dataset Information

Bioinformatic Analysis and Translational Validation of Psoriasis Candidate Genes for Precision Medicine.


ABSTRACT:

Background

Psoriasis is a recurrent, chronic, inflammation- and immune-mediated skin disease with multiple causative factors. However, the genetic markers associated with recurrence have not yet been fully elucidated. Accordingly, in this study, we aimed to identify markers associated with the recurrence of psoriasis.

Methods

We analyzed differentially expressed genes to determine which targets were associated with the recurrence of psoriasis and used these data to construct a protein-protein interaction network using Cytoscape software. The results were then validated by analysis of core targets using Gene Expression Omnibus (GEO) datasets and clinical samples. Functional enrichment analysis was used to explore the potential mechanisms mediating the recurrence of psoriasis.

SUBMITTER: Li AH 

PROVIDER: S-EPMC9343179 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature