Hub Genes Identification in a Murine Model of Allergic Rhinitis Based on Bioinformatics Analysis

Frontiers in Genetics
Le ChenChunquan Zheng

Abstract

This study aimed to identify allergic rhinitis (AR)-related hub genes and functionally enriched pathways in a murine model. Dataset GSE52804 (including three normal controls and three AR mice) was downloaded from Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) were identified. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and protein-protein interaction (PPI) analyses of DEGs were performed to identify the hub genes in AR. The DEGs were classified into different modules by using the weighted gene co-expression network analysis (WGCNA). Moreover, to verify the potential hub genes, nasal mucosa tissues were obtained from murine AR models (n = 5) and controls (n = 5), and qRT-PCR and Western blot were performed. In this study, a total of 634 DEGs were identified. They were significantly enriched in 14 GO terms, such as integral component of membrane, plasma membrane, and G-protein-coupled receptor signaling pathway. Meanwhile, there were eight terms of KEGG pathways significantly enriched, such as Olfactory transduction, Cytokine-cytokine receptor interaction, and TNF signaling pathway. The top 10 hub genes (Rtp1, Rps27a, Penk, Cxcl2, Gng8, Gng3, Cxcl1, Cxcr2, Ccl9, and Anxa1) we...Continue Reading

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Datasets Mentioned

BETA
GSE52804
GPL6246

Methods Mentioned

BETA
ELISA

Software Mentioned

STRING
Image J
Cytoscape
limma
cytohubba
Search Tool for the Retrieval of Interacting Genes ( STRING )
GraphPad Prism
DAVID
Annotation , Visualization , and Integrated Discovery ( DAVID )
BLAST Basic Local Alignment Search Tool

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