Identification of critical mitochondrial hub gene for facial nerve regeneration.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-04-01 Epub Date: 2023-12-12 DOI:10.1139/bcb-2023-0224
Xiaofang Cao, Yan Zhang, Yu Shi, Ying Li, Li Gao, Xiumei Wang, Liang Sun
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Abstract

Mitochondria play a critical role in nerve regeneration, yet the impact of gene expression changes related to mitochondria in facial nerve regeneration remains unknown. To address this knowledge gap, we analyzed the expression profile of the facial motor nucleus (FMN) using data obtained from the Gene Expression Omnibus (GEO) database (GSE162977). By comparing different time points in the data, we identified differentially expressed genes (DEGs). Additionally, we collected mitochondria-related genes from the Gene Ontology (GO) database and intersected them with the DEGs, resulting in the identification of mitochondria-related DEGs (MIT-DEGs). To gain further insights, we performed functional enrichment and pathway analysis of the MIT-DEGs. To explore the interactions among these MIT-DEGs, we constructed a protein-protein interaction (PPI) network using the STRING database and identified hub genes using the Degree algorithm of Cytoscape software. To validate the relevance of these genes to nerve regeneration, we established a rat facial nerve injury (FNI) model and conducted a series of experiments. Through these experiments, we confirmed three MIT-DEGs (Myc, Lyn, and Cdk1) associated with facial nerve regeneration. Our findings provide valuable insights into the transcriptional changes of mitochondria-related genes in the FMN following FNI, which can contribute to the development of new treatment strategies for FNI.

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鉴定面部神经再生的关键线粒体枢纽基因
线粒体在神经再生中起着至关重要的作用,然而与线粒体相关的基因表达变化对面神经再生的影响仍然未知。为了填补这一知识空白,我们利用基因表达总库(GEO)数据库(GSE162977)中的数据分析了面部运动核(FMN)的表达谱。通过比较数据中的不同时间点,我们确定了差异表达基因(DEG)。此外,我们还从基因本体(GO)数据库中收集了线粒体相关基因,并将它们与 DEGs 互相交叉,从而确定了线粒体相关 DEGs(MIT-DEGs)。为了进一步了解情况,我们对 MIT-DEGs 进行了功能富集和通路分析。为了探索这些 MIT-DEGs 之间的相互作用,我们使用 STRING 数据库构建了蛋白质-蛋白质相互作用(PPI)网络,并使用 Cytoscape 软件的 Degree 算法确定了枢纽基因。为了验证这些基因与神经再生的相关性,我们建立了大鼠 FNI 模型并进行了一系列实验。通过这些实验,我们确认了三个与面神经再生相关的 MIT-DEG(Myc、Lyn 和 Cdk1)。我们的研究结果为了解面神经损伤后面神经中线粒体相关基因的转录变化提供了有价值的见解,有助于开发治疗面神经损伤的新策略。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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