Psoriasis Associated Hub Genes Revealed by Weighted Gene Co-Expression Network Analysis

Objective: Psoriasis, an immune-mediated disorder, is a multifactorial disease of unidentified cause. This study aims to discover the possible biomarkers of this papulosquamous skin disease.Materials and Methods: The gene chip GSE55201, resulted from an experimental study, including 44 psoriasis pat...

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Main Authors: Zeinab Darvish, Saeed Ghanbari, Saeid Afshar, Leili Tapak, Payam Amini
Format: Article
Language:English
Published: Royan Institute (ACECR), Tehran 2023-06-01
Series:Cell Journal
Subjects:
Online Access:https://www.celljournal.org/article_703143_0022ee189e348fd13b9559f0618b67e4.pdf
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author Zeinab Darvish
Saeed Ghanbari
Saeid Afshar
Leili Tapak
Payam Amini
author_facet Zeinab Darvish
Saeed Ghanbari
Saeid Afshar
Leili Tapak
Payam Amini
author_sort Zeinab Darvish
collection DOAJ
description Objective: Psoriasis, an immune-mediated disorder, is a multifactorial disease of unidentified cause. This study aims to discover the 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 the hub genes. The key modules were determined using the module eigenvalues. We used biological functions, cellular components, and molecular functions in the Gene Ontology 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 4 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: In summary we can conclude that SIGLEC8, IL5RA, CCR3, RNASE2, CPA3, GATA2, c-KIT, and PRSS33 have an important role in the immune response regulation and could be considered as a potential diagnostic biomarker and therapeutic target for Psoriasis.
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spelling doaj.art-1002035895844feda5feaaba4bba3cca2023-07-12T06:52:22ZengRoyan Institute (ACECR), TehranCell Journal2228-58062228-58142023-06-0125641842610.22074/cellj.2023.1982769.1191703143Psoriasis Associated Hub Genes Revealed by Weighted Gene Co-Expression Network AnalysisZeinab Darvish0Saeed Ghanbari1Saeid Afshar2Leili Tapak3Payam Amini4Department of Biostatistics and Epidemiology, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, IranDepartment of Biostatistics and Epidemiology, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, IranResearch Center for Molecular Medicine, Hamadan University of Medical Sciences, Hamadan, IranDepartment of Biostatistics, School of Public Health and Modeling of Non-communicable Disease Research Center, Hamadan University of Medical Sciences, Hamadan, IranDepartment of Biostatistics and Epidemiology, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, IranObjective: Psoriasis, an immune-mediated disorder, is a multifactorial disease of unidentified cause. This study aims to discover the 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 the hub genes. The key modules were determined using the module eigenvalues. We used biological functions, cellular components, and molecular functions in the Gene Ontology 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 4 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: In summary we can conclude that SIGLEC8, IL5RA, CCR3, RNASE2, CPA3, GATA2, c-KIT, and PRSS33 have an important role in the immune response regulation and could be considered as a potential diagnostic biomarker and therapeutic target for Psoriasis.https://www.celljournal.org/article_703143_0022ee189e348fd13b9559f0618b67e4.pdfgenegene modulesgene networkpsoriasis
spellingShingle Zeinab Darvish
Saeed Ghanbari
Saeid Afshar
Leili Tapak
Payam Amini
Psoriasis Associated Hub Genes Revealed by Weighted Gene Co-Expression Network Analysis
Cell Journal
gene
gene modules
gene network
psoriasis
title Psoriasis Associated Hub Genes Revealed by Weighted Gene Co-Expression Network Analysis
title_full Psoriasis Associated Hub Genes Revealed by Weighted Gene Co-Expression Network Analysis
title_fullStr Psoriasis Associated Hub Genes Revealed by Weighted Gene Co-Expression Network Analysis
title_full_unstemmed Psoriasis Associated Hub Genes Revealed by Weighted Gene Co-Expression Network Analysis
title_short Psoriasis Associated Hub Genes Revealed by Weighted Gene Co-Expression Network Analysis
title_sort psoriasis associated hub genes revealed by weighted gene co expression network analysis
topic gene
gene modules
gene network
psoriasis
url https://www.celljournal.org/article_703143_0022ee189e348fd13b9559f0618b67e4.pdf
work_keys_str_mv AT zeinabdarvish psoriasisassociatedhubgenesrevealedbyweightedgenecoexpressionnetworkanalysis
AT saeedghanbari psoriasisassociatedhubgenesrevealedbyweightedgenecoexpressionnetworkanalysis
AT saeidafshar psoriasisassociatedhubgenesrevealedbyweightedgenecoexpressionnetworkanalysis
AT leilitapak psoriasisassociatedhubgenesrevealedbyweightedgenecoexpressionnetworkanalysis
AT payamamini psoriasisassociatedhubgenesrevealedbyweightedgenecoexpressionnetworkanalysis