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Identification of Key Dendritic Cell-Related Genes in Psoriasis Based on Bioinformatics Analysis
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  • Lan Zhang,
  • leiqing Yao,
  • li Feng,
  • xing Wang,
  • ying Liu,
  • Fei Zheng,
  • zhengxiao Li
Lan Zhang
The First Affiliated Hospital of Xi'an Jiaotong University
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leiqing Yao
Xi'an Jiaotong University Second Affiliated Hospital
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li Feng
The First Affiliated Hospital of Xi'an Jiaotong University
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xing Wang
The First Affiliated Hospital of Xi'an Jiaotong University
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ying Liu
Xi'an Jiaotong University Second Affiliated Hospital
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Fei Zheng
The First Affiliated Hospital of Xi'an Jiaotong University
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zhengxiao Li
Xi'an Jiaotong University Second Affiliated Hospital

Corresponding Author:[email protected]

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Abstract

Dendritic cells (DCs) play a key role in the development of the initiation and maintenance phases of psoriasis. Therefore, this study identified key dendritic cells related genes (DCRGs) for the diagnosis and treatment of psoriasis. Psoriasis-related expression datasets (GSE54456 and GSE13355) were downloaded from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was used to identify DC related genes (DCRGs). Then, differentially expressed genes (DEGs) between psoriasis and normal groups were identified in GSE54456, and DEGs were intersected with DCRGs to obtain dendritic cells related differentially expressed genes (DC DEGs). Next, the diagnostic genes were excavated through machine learning algorithms. Gene set enrichment analysis (GSEA) was used to explore the functional pathways of diagnostic genes. The lncRNA-miRNA-mRNA network was constructed. Finally, real time quantitative polymerase chain reaction (RT-qPCR) was carried out on blood samples from psoriasis and normal groups to validate these identified diagnostic genes. In total, 598 DCRGs and 4210 DEGs were intersected to obtain 112 DC DEGs. GZMB, MAL, PBXIP1, and CCR7 were potential diagnostic genes and they were significantly enriched to biological processes such as MHC protein complex assembly, T cell receptor complex, cytokine receptor activity, Th1 and Th2 cell differentiation. In the lncRNA-miRNA-mRNA regulatory network, EMX2OS could regulate PBXIP1 through hsa-miR-7154-3p. Finally, the results of RT-qPCR demonstrated that the expression trends of GZMB, MAL, and PBXIP1 were consistent with the public datasets. GZMB, MAL, PBXIP1and CCR7 might play key roles in psoriasis and could be used as potential diagnostic genes of psoriasis.