Discovering Novel Biomarkers Associated with the Pathogenesis of Psoriasis: Evidence from Bioinformatic Analysis.

ABSTRACT:

Objective

This study aimed to investigate key biomarkers and their molecular pathogenesis in psoriasis.

Methods

Differentially expressed genes (DEGs) of datasets (GSE13355, GSE30999, and GSE106992) obtained from Gene Expression Omnibus (GEO) were identified using Venn diagram. Function and pathway enrichment analyses were performed. Protein-protein interaction (PPI) network and the hub genes were constructed. The correlation between normal tissue and infiltrating immune cells was analyzed by CIBERSORT. ROC analysis was performed to distinguish between skin lesion samples and skin non-lesion samples. Analyze the highest expression of single gene in the whole body within the Human Protein Atlas (HPA) database. Effect of CXCL8 expression level on proliferation, invasion, migrat

SUBMITTER: Yang Y 

PROVIDER: S-EPMC8923704 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature