临床荟萃 ›› 2021, Vol. 36 ›› Issue (9): 811-819.doi: 10.3969/j.issn.1004-583X.2021.09.010

• 论著 • 上一篇    下一篇

基于高通量芯片对小儿流感生物信息学分析

金虹, 李晓岚()   

  1. 泰康同济(武汉)医院 儿科, 湖北 武汉 430050
  • 收稿日期:2021-05-21 出版日期:2021-09-20 发布日期:2021-10-05
  • 通讯作者: 李晓岚 E-mail:1138914165@qq.com

Analysis of bioinformatics in pediatric influenza based on chip with high-throughput

Jin Hong, Li Xiaolan()   

  1. Department of Pediatrics, Taikang Tongji (Wuhan) Hospital, Wuhan 430050, China
  • Received:2021-05-21 Online:2021-09-20 Published:2021-10-05
  • Contact: Li Xiaolan E-mail:1138914165@qq.com

摘要:

目的 通过生物信息学工具筛选小儿流感患者的相关差异基因(differential gene, DEG),探讨小儿流感患者的核心基因并阐明其发病机制。方法 从基因表达数据库(gene expression database, GEO)中下载符合本研究要求的小儿流感患者的转录组数据,采用基因分析表达工具(GEO2R)对DEGs进行筛选。采用基因本体(gene ontology, GO)分析和京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes, KEGG)分析DEGs的功能和富集通路情况。利用STRING数据库构建蛋白互作网络(protein-protein interaction, PPI),并利用Cytoscape软件筛选核心DEGs。结果 共有GSE42026、GSE29366、GSE34205、 GSE38900 4个芯片数据库纳入分析,经过分析共发现30个DEGs,29个下调,1个上调。GO分析发现DEGs主要参与Ⅰ型干扰素信号通路,细胞对Ⅰ型干扰素的反应,2'-5'-寡聚腺苷酸合成酶激活,双链RNA的结合。KEGG发现DEGs主要富集在甲型流感病毒、麻疹、丙型肝炎以及单纯疱疹病毒感染信号通路。蛋白互作分析表明,筛选出的潜在10个核心基因分别为IFIT3、MX1、OAS3、OAS2、OAS1、IFI27、IFI44、RSAD2、IFI44L、LY6E。结论 以干扰素为中心的基因富集通路可能是小儿流感患者的主要发病机制,筛选出来的核心基因可能参与小儿流感的感染过程,且可能成为临床治疗的新靶点。

关键词: 流感, 人, 流感核心基因, 差异基因, 计算生物学

Abstract:

Objective To screen the related differential genes(DEGs) of pediatric influenza by bioinformatics tools, aiming to explore core genes and elucidate pathogenesis. Methods The transcriptome data of pediatric influenza that met the requirements were downloaded from gene expression omnibus(GEO) database, and DEGs were screened by gene analysis tool GEO2R. Gene ontology(GO) and Kyoto encyclopedia of genes and genomes(KEGG) were analyzed for the function and enrichment pathway of DEGs. The protein-protein interaction(PPI) network was constructed by using the STRING database, and the core differential genes were selected by using Cytoscape software. Results A total of four databases (GSE42026, GSE29366, GSE34205 and GSE38900) and 30 DEGs were included in the study with 29 down regulated and 1 up regulated. GO analysis showed that DEGs were mainly involved in type I IFN signaling pathway, cell response to type I IFN, 2'-5'-oligoadenylate synthase activation and double stranded RNA binding. KEGG analysis showed that DEGs were mainly enriched in influenza A virus, measles, hepatitis C and herpes simplex virus infection signaling pathways. PPI analysis showed that the potential 10 core genes were IFIT3, MX1, OAS3, OAS2, OAS1, IFI27, IFI44, RSAD2, IFI44L and LY6E. Conclusion Interferon centered gene enrichment pathway may be the main pathogenesis for pediatric influenza. The core genes screened out may participate in the infection process of children with influenza, and become a new target for clinical treatment.

Key words: influenza, human, influenza core genes, differential gene, computational biology

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