特发性肺纤维化相关基因的筛选和生物信息学分析

发布时间：2018-06-19 01:03

本文选题：特发性肺纤维化 + 差异表达基因　；参考：《中山大学学报(医学科学版)》2017年06期

【摘要】：【目的】通过生物信息学的方法发现特发性肺纤维化(IPF)的致病基因并为进一步研究提供靶点。【方法】从GEO数据库中下载基因芯片数据集GSE53845、GSE24206、GSE10667,并使用GEO2R分析工具筛选出正常组织与IPF的差异表达基因。在DAVID数据库中对差异表达基因进行GO分析和KEGG通路富集分析,以便找到IPF发病过程中差异表达基因主要参与的生物功能及其集中的信号通路。为了研究差异表达基因与蛋白之间的作用关系,使用STRING和CYTOSCAPE软件来构建蛋白相互作用网络,使用MCODE软件来提取蛋白相互作用网络中的子网络模块。【结果】发现了110个差异表达基因,其中有92个在IPF中高表达,18个低表达。GO富集分析表明IPF中上调的差异表达基因主要影响细胞粘附、生物粘附、胶原蛋白代谢等相关的生物过程,富集的分子功能主要参与细胞外基质结构的构成、钙离子的结合;IPF中下调的蛋白则主要涉及感觉调节的生物过程。KEGG通路分析表明IPF中上调的差异表达基因主要参与受体相互作用、细胞粘附等信号通路。【结论】利用生物信息学筛选出差异表达基因,其中部分基因已被证实参与IPF,部分基因尚未有研究,提示其可能是IPF发病机制研究新的研究靶点。
[Abstract]:[objective] to identify the pathogenetic genes of idiopathic pulmonary fibrosis (IPF) by bioinformatics and to provide a target for further study. [methods] the gene chip data set GSE53845 / GSE24206 GSE106677 was downloaded from the GEO database, and the GEO2R analysis tool was used to screen the gene. The differentially expressed genes between normal tissue and IPF were selected. The differential expression genes were analyzed by go analysis and KEGG pathway enrichment analysis in DAVID database in order to find out the biological function and the centralized signal pathway of differential expression genes involved in the pathogenesis of IPF. To study the interaction between differentially expressed genes and proteins, protein interaction networks were constructed using STRING and CYTOSCAPE software. Using MCODE software to extract subnetwork modules in protein-interacting networks. [results] 110 differentially expressed genes were found. Among them, 92 were highly expressed in IPF, and 18 low-expression .GO enrichment analysis showed that up-regulated differentially expressed genes in IPF mainly affect cell adhesion, bioadhesion, collagen metabolism and other related biological processes. The rich molecular function is mainly involved in the structure of extracellular matrix. The down-regulated protein in calcium binding IPF is mainly involved in the biological process of sensory regulation. KEGG pathway analysis shows that the up-regulated differentially expressed genes in IPF are mainly involved in receptor interaction. [conclusion] differentially expressed genes have been screened by bioinformatics, some of which have been confirmed to be involved in IPF, and some genes have not been studied, suggesting that these genes may be a new research target for the pathogenesis of IPF.
【作者单位】：中山大学附属第一医院呼吸内科;
【分类号】：R563.9

【相似文献】