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基于生物信息学分析的基因表达谱鉴定盆腔器官脱垂中的关键基因和通路

Identification of key genes and pathways in pelvic organ prolapse based on gene expression profiling by bioinformatics analysis.

作者信息

Zhou Quan, Hong Li, Wang Jing

机构信息

Department of Gynecology and Obstetrics, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, Hubei, People's Republic of China.

出版信息

Arch Gynecol Obstet. 2018 May;297(5):1323-1332. doi: 10.1007/s00404-018-4745-1. Epub 2018 Mar 15.

Abstract

PURPOSE

The aim of this study was to elucidate the molecular mechanisms and to identify the key genes and pathways for pelvic organ prolapse (POP) using bioinformatics analysis.

METHODS

The microarray data for GSE53868 included 12 POP and 12 non-POP anterior vaginal wall samples. Differentially expressed genes (DEGs) were identified by GEO2R online tool. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using the DAVID database, and a DEG-associated protein-protein interaction (PPI) network was constructed using STRING and visualized in Cytoscape. MCODE was used for module analysis of the PPI network.

RESULTS

A total of 257 upregulated and 333 downregulated genes were identified. GO and KEGG pathway enrichment analyses showed that the upregulated DEGs were strongly associated with immune response, complement activation, classical pathway, phagocytosis, and recognition; the downregulated genes were mainly associated with cellular response to zinc ion, negative regulation of growth, and apoptotic process. Based on the PPI network, IL6, MYC, CCL2, ICAM1, PTGS2, SERPINE1, ATF3, CDKN1A, and CDKN2A were screened as hub genes. The four most significant sub-modules of DEGs were extracted after network module analysis. These genes were mainly associated with the negative regulation of growth and inflammatory response. The KEGG pathway enrichment analysis revealed that these genes were associated with Mineral absorption, Jak-STAT signaling pathway, cytokine-cytokine receptor interaction, and chemokine signaling pathway.

CONCLUSIONS

These microarray data and bioinformatics analyses provide a useful method for the identification of key genes and pathways associated with POP. Moreover, some crucial DEGs, such as IL6, MYC, CCL2, ICAM1, PTGS2, SERPINE1, ATF3, CDKN1A, and CDKN2A, potentially play an important role in the development and progression of POP.

摘要

目的

本研究旨在通过生物信息学分析阐明盆腔器官脱垂(POP)的分子机制,并确定关键基因和通路。

方法

GSE53868的微阵列数据包括12个POP和12个非POP阴道前壁样本。使用GEO2R在线工具鉴定差异表达基因(DEG)。使用DAVID数据库进行基因本体(GO)和京都基因与基因组百科全书(KEGG)通路富集分析,并使用STRING构建DEG相关的蛋白质-蛋白质相互作用(PPI)网络,并在Cytoscape中进行可视化。使用MCODE对PPI网络进行模块分析。

结果

共鉴定出257个上调基因和333个下调基因。GO和KEGG通路富集分析表明,上调的DEG与免疫反应、补体激活、经典途径、吞噬作用和识别密切相关;下调基因主要与细胞对锌离子的反应、生长的负调控和凋亡过程有关。基于PPI网络,筛选出IL6、MYC、CCL2、ICAM1、PTGS2、SERPINE1、ATF3、CDKN1A和CDKN2A作为枢纽基因。网络模块分析后提取了DEG的四个最显著子模块。这些基因主要与生长的负调控和炎症反应有关。KEGG通路富集分析表明,这些基因与矿物质吸收、Jak-STAT信号通路、细胞因子-细胞因子受体相互作用和趋化因子信号通路有关。

结论

这些微阵列数据和生物信息学分析为鉴定与POP相关的关键基因和通路提供了一种有用的方法。此外,一些关键的DEG,如IL6、MYC、CCL2、ICAM1、PTGS2、SERPINE1、ATF3、CDKN1A和CDKN2A,可能在POP的发生和发展中起重要作用。

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