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鼻息肉型慢性鼻-鼻窦炎中枢纽基因的鉴定及免疫细胞浸润特征：生物信息学分析与实验验证

Identification of hub genes and immune cell infiltration characteristics in chronic rhinosinusitis with nasal polyps: Bioinformatics analysis and experimental validation.

作者信息

Pan Yangwang, Wu Linjing, He Shuai, Wu Jun, Wang Tong, Zang Hongrui

机构信息

Department of Otolaryngology Head and Neck Surgery, Civil Aviation General Hospital (Peking University Civil Aviation School of Clinical Medicine), Bejing, China.

Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

出版信息

Front Mol Biosci. 2022 Aug 17;9:843580. doi: 10.3389/fmolb.2022.843580. eCollection 2022.

DOI:10.3389/fmolb.2022.843580
PMID:36060258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9431028/
Abstract

The aim of our study is to reveal the hub genes related to the pathogenesis of chronic rhinosinusitis with nasal polyps (CRSwNP) and their association with immune cell infiltration through bioinformatics analysis combined with experimental validation. In this study, through differential gene expression analysis, 1,516 upregulated and 1,307 downregulated DEG were obtained from dataset GSE136825 of the GEO database. We identified 14 co-expressed modules using weighted gene co-expression network analysis (WGCNA), among which the most significant positive and negative correlations were MEgreen and MEturquoise modules, containing 1,540 and 3,710 genes respectively. After the intersection of the two modules and DEG, two gene sets-DEG-MEgreen and DEG-MEturquoise-were obtained, containing 395 and 1,168 genes respectively. Through GO term analysis, it was found that immune response and signal transduction are the most important biological processes. We found, based on KEGG pathway enrichment analysis, that osteoclast differentiations, cytokine-cytokine receptor interactions, and neuroactive ligand-receptor interactions are the most important in the two gene sets. Through PPI network analysis, we listed the top-ten genes for the concentrated connectivity of the two gene sets. Next, a few genes were verified by qPCR experiments, and in DEG-MEgreen and and in DEG-MEturquoise were confirmed to be related to the pathogenesis of CRSwNP. NP immune cell infiltration analysis revealed a significant difference in the proportion of immune cells between the NP group and control group. Finally, correlation analysis between target hub genes and immune cells indicated that and had a positive or negative correlation with some specific immune cells. In summary, the discoveries of these new hub genes and their association with immune cell infiltration are of great significance for uncovering the specific pathogenesis of CRSwNP and searching for disease biomarkers and potential therapeutic targets.

摘要

我们研究的目的是通过生物信息学分析结合实验验证，揭示与鼻息肉慢性鼻窦炎（CRSwNP）发病机制相关的枢纽基因及其与免疫细胞浸润的关联。在本研究中，通过差异基因表达分析，从GEO数据库的数据集GSE136825中获得了1516个上调和1307个下调的差异表达基因（DEG）。我们使用加权基因共表达网络分析（WGCNA）鉴定了14个共表达模块，其中最显著的正相关和负相关模块分别是MEgreen和MEturquoise模块，分别包含1540和3710个基因。两个模块与DEG交集后，获得了两个基因集——DEG-MEgreen和DEG-MEturquoise——分别包含395和1168个基因。通过基因本体（GO）术语分析，发现免疫反应和信号转导是最重要的生物学过程。基于京都基因与基因组百科全书（KEGG）通路富集分析，我们发现破骨细胞分化、细胞因子-细胞因子受体相互作用以及神经活性配体-受体相互作用在这两个基因集中最为重要。通过蛋白质-蛋白质相互作用（PPI）网络分析，我们列出了两个基因集集中连接性排名前十的基因。接下来，通过qPCR实验验证了几个基因，并且证实DEG-MEgreen中的 和DEG-MEturquoise中的 与CRSwNP的发病机制相关。鼻息肉免疫细胞浸润分析显示鼻息肉组和对照组之间免疫细胞比例存在显著差异。最后，目标枢纽基因与免疫细胞之间的相关性分析表明， 和 与一些特定免疫细胞存在正相关或负相关。总之，这些新枢纽基因的发现及其与免疫细胞浸润的关联对于揭示CRSwNP的特定发病机制以及寻找疾病生物标志物和潜在治疗靶点具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d94/9431028/e357a4397904/fmolb-09-843580-g009.jpg
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本文引用的文献

1
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2
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Curr Allergy Asthma Rep. 2020 Nov 24;21(1):1. doi: 10.1007/s11882-020-00976-8.
3
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Nucleic Acids Res. 2021 Jan 8;49(D1):D1502-D1506. doi: 10.1093/nar/gkaa1062.
4
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5
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Oncol Lett. 2020 Dec;20(6):334. doi: 10.3892/ol.2020.12197. Epub 2020 Oct 7.
6
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7
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Exp Ther Med. 2020 Dec;20(6):180. doi: 10.3892/etm.2020.9310. Epub 2020 Oct 12.
8
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