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

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. G...

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Autores principales: Chen, Le, Shi, Le, Ma, Yue, Zheng, Chunquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477359/
https://www.ncbi.nlm.nih.gov/pubmed/33193578
http://dx.doi.org/10.3389/fgene.2020.00970
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author Chen, Le
Shi, Le
Ma, Yue
Zheng, Chunquan
author_facet Chen, Le
Shi, Le
Ma, Yue
Zheng, Chunquan
author_sort Chen, Le
collection PubMed
description 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) were identified by the PPI network. DEGs were classified into seven modules by WGCNA. According to qRT-PCR validation of the five genes of interest (Rtp1, Rps27a, Penk, Cxcl2, and Anxa1), the expression level of Rtp1 mRNA was significantly decreased in the AR group compared with the control group, while there are enhanced Rps27a, Penk, Cxcl2, and Anxa1 mRNA expressions in the AR mice group compared with the control group. Western blot was also performed to further explore the expression of Anxa1 in the protein level, and the results showed a similar expression trend.
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spelling pubmed-74773592020-11-12 Hub Genes Identification in a Murine Model of Allergic Rhinitis Based on Bioinformatics Analysis Chen, Le Shi, Le Ma, Yue Zheng, Chunquan Front Genet Genetics 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) were identified by the PPI network. DEGs were classified into seven modules by WGCNA. According to qRT-PCR validation of the five genes of interest (Rtp1, Rps27a, Penk, Cxcl2, and Anxa1), the expression level of Rtp1 mRNA was significantly decreased in the AR group compared with the control group, while there are enhanced Rps27a, Penk, Cxcl2, and Anxa1 mRNA expressions in the AR mice group compared with the control group. Western blot was also performed to further explore the expression of Anxa1 in the protein level, and the results showed a similar expression trend. Frontiers Media S.A. 2020-08-25 /pmc/articles/PMC7477359/ /pubmed/33193578 http://dx.doi.org/10.3389/fgene.2020.00970 Text en Copyright © 2020 Chen, Shi, Ma and Zheng. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Chen, Le
Shi, Le
Ma, Yue
Zheng, Chunquan
Hub Genes Identification in a Murine Model of Allergic Rhinitis Based on Bioinformatics Analysis
title Hub Genes Identification in a Murine Model of Allergic Rhinitis Based on Bioinformatics Analysis
title_full Hub Genes Identification in a Murine Model of Allergic Rhinitis Based on Bioinformatics Analysis
title_fullStr Hub Genes Identification in a Murine Model of Allergic Rhinitis Based on Bioinformatics Analysis
title_full_unstemmed Hub Genes Identification in a Murine Model of Allergic Rhinitis Based on Bioinformatics Analysis
title_short Hub Genes Identification in a Murine Model of Allergic Rhinitis Based on Bioinformatics Analysis
title_sort hub genes identification in a murine model of allergic rhinitis based on bioinformatics analysis
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477359/
https://www.ncbi.nlm.nih.gov/pubmed/33193578
http://dx.doi.org/10.3389/fgene.2020.00970
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