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Psoriasis Associated Hub Genes Revealed by Weighted Gene Co-Expression Network Analysis
Authors: Zeinab Darvish; Saeed Ghanbari; Saeid Afshar; Leili Tapak; Payam Amini
Number of views: 31
Objective: Psoriasis, an immune-mediated disorder, is a multifactorial disease with unidentified cause(s). This study
aimed to discover possible biomarkers of this papulosquamous skin disease.
Materials and Methods: The gene chip GSE55201, resulted from an experimental study, including 44 Psoriasis patients
and 30 healthy controls was downloaded from GEO and weighted gene co-expression network analysis was utilized to
identify hub genes. Key modules were determined using the module eigenvalues. We used biological functions (BFs),
cellular components, and molecular functions in the Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes
and Genomes enrichment analysis in the gene metabolic pathway were used for enrichment analysis.
Results: Adjacency matrix was built by using power adjacency function and the power to turn the correlation to
adjacency matrix was four with a topology fit index of 0.92. Using the weighted gene co-expression network analysis,
11 modules were identified. The green-yellow module eigenvalues were significantly associated with Psoriasis (Pearson
correlation=0.53, P<0.001). Candidate hub genes were determined by their higher connectivity and relationship with
module eigenvalue. The genes including SIGLEC8, IL5RA, CCR3, RNASE2, CPA3, GATA2, c-KIT, and PRSS33 were
recorded as the hub genes.
Conclusion: We can conclude that SIGLEC8, IL5RA, CCR3, RNASE2, CPA3, GATA2, c-KIT, and PRSS33 have an
important role in the immune response regulation and they could be considered as a potential diagnostic biomarker and
therapeutic target for Psoriasis.