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

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,

The early-phase transcriptome and the clinical efficacy analysis in three modes of subcutaneous immunotherapy for allergic rhinitis

“…Some studies using bioinformatics analysis have found that CXCR2 plays an essential role in the occurrence of allergic rhinitis. 30 Eddleston et al found that CXCR1 and CXCR2 mRNA expression in patients with allergic rhinitis increased compared with baseline. 31 Previous RNA-seq of immunotherapy induced-PBMC found 1.3-fold upregulation of CXCR1 and 1.8-fold upregulation of CXCR2, and its ligands IL-8, IL-1β, and CXCL1 were also up-regulated, which was consistent with our study.…”

Allergic Diseases: A Comprehensive Review on Risk Factors, Immunological Mechanisms, Link with COVID-19, Potential Treatments, and Role of Allergen Bioinformatics

“…Many research papers on allergen bioinformatics and immunoinformatics have been published by various groups of researchers [198,199]. For example, Zhang et al identified key genes and Le Chen et al identified hub genes in a murine model in allergic rhinitis by bioinformatics analysis [200,201]. Deocaris et al used bioinformatics analysis in the detection of nascent allergens in GMO and conventional rice [202].…”

Integrative Identification of Hub Genes Associated With Immune Cells in Atrial Fibrillation Using Weighted Gene Correlation Network Analysis

“…Based on the interconnectivity of genes, WGCNA can explore the relationships between gene modules and the clinical phenotypes to identify candidate biomarkers or therapeutic targets. It has been applied to numerous kinds of diseases (11)(12)(13)(14).…”