基础医学与临床 ›› 2020, Vol. 40 ›› Issue (11): 1462-1467.

• 研究论文 • 上一篇    下一篇

两种肺动脉高压模型小鼠的基因表达谱分析

邢书娟1, 董明清1*, 杨力侠1, 罗颖2*   

  1. 1.西安外事学院 医学院, 陕西 西安 710077;
    2.空军军医大学 基础部 病理生理教研室, 陕西 西安 710032
  • 收稿日期:2020-06-08 修回日期:2020-08-28 出版日期:2020-11-05 发布日期:2020-10-30
  • 通讯作者: * dongmingqing@xaiu.edu.cn;luoying@fmmu.edu.cn
  • 基金资助:
    国家自然科学基金(81571822,81570054,81770056);陕西省自然科学基础研究计划(2019JQ-999)

Analysis of gene expression profile based on two types of pulmonary hypertension model

XING Shu-juan1, DONG Ming-qing1*, YANG Li-xia1, LUO Ying2*   

  1. 1. Faculty of Medicine, Xi'an International University, Xi'an 710077;
    2. Department of Pathology and Pathophysiology, Air Force Medical University, Xi'an 710032, China
  • Received:2020-06-08 Revised:2020-08-28 Online:2020-11-05 Published:2020-10-30
  • Contact: * dongmingqing@xaiu.edu.cn;luoying@fmmu.edu.cn

摘要: 目的 利用芯片技术和生物信息学分析方法挖掘肺动脉高压(PAH)关键基因,探讨PAH的发生机制。方法 用自测数据-低氧性PAH小鼠差异表达矩阵和NCBI数据库下载的小鼠PAH表达谱芯片数据(GSE48936);联合分析这两组数据。结果 1)得到共同差异表达基因112个;2)GO结果表明这些基因主要富集在炎性反应、防御反应、刺激反应等生物学过程;3)KEGG分析发现这些基因主要参与趋化因子信号途径、细胞因子与其受体相互作用、细胞色素p450对外源物质代谢的影响等通路;4)利用于String数据库对这112个基因分析,筛选出10个degree得分较高的中心基因CD68、CD86、CCL6、ms4a6d、CXCL10、C3ar1、CXCL9、C1qA、C1qB、Ctss;将这些基因利用Cytoscape软件进行模块分析,筛选出3个显著模块,显著模块涉及基因主要富集在炎性反应、IL-17、白细胞迁移正调控和防御反应的调节等信号通路。结论 这些基因可能与PAH发生发展密切相关,为PAH发病的分子机制提供一定参考。

关键词: 肺动脉高压, 基因芯片, 生物信息学分析, 差异表达基因

Abstract: Objective Microarray and bioinformatics analysis were performed to explore the pathogenesis and the key genes coding for the development of pulmonary artery hypertension(PAH). Methods The differential expression microarray data in PAH mice(data from both current research and NCBI database with accession number GSE 48936) were analyzed simultaneously. Results 1)Totally 112 differentially expressed genes were obtained by the combined analysis of the two sets of data. 2)These genes were mainly enriched in biological processes such as inflammatory process, defense response, and stress response. 3)These genes were chiefly involved in the cytokine-cytokine receptor interaction, chemokine signaling pathway and the effect of cytochrome p450 on the metabolism of exogenous substances. 4)The 112 genes were analyzed by string database, 10 central genes (CD68, CD86, CCL6, ms4a6d, CXCL10, C3ar1, CXCL9, C1qA, C1qB and Ctss)with high degree scores were screened out. Three significant modules were selected by using the MCODE of Cytoscape software and involving genes mainly enriched in inflammatory response, positive regulation of leukocyte migration, IL-17 signaling pathway and regulation of defense response. Conclusions These genes are potentially involved in the development of PAH and this conclusion may facilitate identification of pathogenesis of PAH.

Key words: pulmonary artery hypertension, genechip, bioinformatics analysis, different expression genes

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