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用于探索突变诱导性白内障相关关键基因的微阵列数据的生物信息学分析

Bioinformatics analysis of microarray data to explore the key genes involved in mutation-induced cataract.

作者信息

Tian Rui, Xu Yang, Dou Wen-Wen, Zhang Hui

机构信息

Department of Ophthalmology, the Second Hospital of Jilin University, Changchun 130000, Jilin Province, China.

Department of Oral and Maxillofacial Surgery, School of Stomatology of Jilin University, Changchun 130000, Jilin Province, China.

出版信息

Int J Ophthalmol. 2018 Jun 18;11(6):910-917. doi: 10.18240/ijo.2018.06.03. eCollection 2018.

DOI:10.18240/ijo.2018.06.03
PMID:29977800
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6010373/
Abstract

AIM

To reveal the mechanisms of 4 () mutation-induced cataract.

METHODS

GSE22362, including 3 -null lens and 3 wild-type lens, was obtained from Gene Expression Omnibus database. After data preprocessing, the differentially expressed genes (DEGs) were identified using the limma package. Based on Database for Annotation, Visualization and Integrated Discovery (DAVID) tool, functional and pathway enrichment analyses were performed for the DEGs. Followed by protein-protein interaction (PPI) network was constructed using STRING database and Cytoscape software. Furthermore, the validated microRNA (miRNA)-DEG pairs were obtained from miRWalk2.0 database, and then miRNA-DEG regulatory network was visualized by Cytoscape software.

RESULTS

A total of 176 DEGs were identified in -null lens compared with wild-type lens. In the PPI network, FBJ osteosarcoma oncogene (FOS), early growth response 1 (EGR1) and heme oxygenase (decycling) 1 (HMOX1) had higher degrees and could interact with each other. Besides, and were among the top 10 miRNAs in the miRNA-DEG regulatory network. Additionally, could target in the regulatory network.

CONCLUSION

, and might function in the pathogenesis of mutation-induced cataract.

摘要

目的

揭示4()突变诱导白内障的机制。

方法

从基因表达综合数据库获取GSE22362,其中包括3个基因缺失晶状体和3个野生型晶状体。数据预处理后,使用limma软件包鉴定差异表达基因(DEG)。基于注释、可视化和综合发现数据库(DAVID)工具,对DEG进行功能和通路富集分析。随后使用STRING数据库和Cytoscape软件构建蛋白质-蛋白质相互作用(PPI)网络。此外,从miRWalk2.0数据库获得经过验证的微小RNA(miRNA)-DEG对,然后用Cytoscape软件可视化miRNA-DEG调控网络。

结果

与野生型晶状体相比,在基因缺失晶状体中总共鉴定出176个DEG。在PPI网络中,FBJ骨肉瘤癌基因(FOS)、早期生长反应1(EGR1)和血红素加氧酶(脱环)1(HMOX1)具有较高的度数且能相互作用。此外,和在miRNA-DEG调控网络中位列前10的miRNA之中。另外,在调控网络中可靶向。

结论

、和可能在突变诱导白内障的发病机制中发挥作用。

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