Identification and Interaction Analysis of Significant Genes and MicroRNAs in Pterygium
Identification and Interaction Analysis of Significant Genes and MicroRNAs in Pterygium
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翼状胬肉重要基因和MicroRNA的鉴定及相互作用分析
DOI：
10.1155/2019/2767512
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发表时间：
2019-01-01
影响因子：
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通讯作者：
Yang, Guohua
中科院分区：
文献类型：
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作者：
He, Siying;Sun, Hui;Yang, Guohua
目的研究miRNAs在包括翼状胬肉在内的多种疾病的发生发展中的作用。本研究旨在鉴定翼状胬肉发病的关键基因和miRNAs，并探讨其分子机制。方法根据已发表的文献初步提取并汇集miRNA表达。从GEO数据库下载差异表达基因的芯片数据，用R语言编程进行分析。使用注释、可视化和集成发现（大卫）数据库进行功能和途径富集分析。利用STRING数据库构建蛋白质相互作用网络。使用在线资源预测化学物质，差异表达的miRNA和差异表达的基因之间的关联。所有网络都是使用Cytoscape构建的。结果共发现35个miRNAs和301个基因的差异表达。功能富集分析显示，上调基因主要集中在细胞外基质（ECM）组织中，而下调基因主要参与细胞死亡和凋亡过程。最后总结了化学基因影响网络、miRNA-mRNA相互作用网络和重要通路网络。结论初步筛选出翼状胬肉组织中差异表达的miRNAs和基因，并分析了它们之间可能的相互作用。该网络提示ECM破坏和EMT可能是两种主要的病理生理机制，并显示了PI 3 K-Akt信号通路的潜在意义。miR-29 b-3 p和胶原蛋白家族（COL 4A 1和COL 3A 1）可能成为翼状胬肉治疗的新靶点。
Purpose MiRNAs have been widely analyzed in the occurrence and development of many diseases, including pterygium. This study aimed to identify the key genes and miRNAs in pterygium and to explore the underlying molecular mechanisms. Methods MiRNA expression was initially extracted and pooled by published literature. Microarray data about differentially expressed genes was downloaded from Gene Expression Omnibus (GEO) database and analyzed with the R programming language. Functional and pathway enrichment analyses were performed using the database for Annotation, Visualization and Integrated Discovery (DAVID). The protein-protein interaction network was constructed with the STRING database. The associations between chemicals, differentially expressed miRNAs, and differentially expressed genes were predicted using the online resource. All the networks were constructed using Cytoscape. Results We found that 35 miRNAs and 301 genes were significantly differentially expressed. Functional enrichment analysis showed that upregulated genes were significantly enriched in extracellular matrix (ECM) organization, while downregulated genes were mainly involved in cell death and apoptotic process. Finally, we concluded the chemical-gene affected network, miRNA-mRNA interacted networks, and significant pathway network. Conclusion We identified lists of differentially expressed miRNAs and genes and their possible interaction in pterygium. The networks indicated that ECM breakdown and EMT might be two major pathophysiological mechanisms and showed the potential significance of PI3K-Akt signalling pathway. MiR-29b-3p and collagen family (COL4A1 and COL3A1) might be new treatment target in pterygium.