急性GVHD中Treg细胞相关基因筛选及生物信息学分析  

The screening of Treg cells related candidate genes in a GVHD and their bioinformatics analysis

作　　者：付伟 曹洁 王松 李国辉[2] 胡彬[2] 高晓彤[2] 黄斯勇[2] 梁英民[2] 

机构地区：[1]解放军第四十四医院血液科,贵州贵阳550009 [2]第四军医大学唐都医院血液科,陕西西安710038

出　　处：《现代肿瘤医学》2016年第19期3111-3114,共4页Journal of Modern Oncology

基　　金：贵州省卫生计生委科学技术基金(编号:gzwjkj2014-1-058)

摘　　要：目的:探讨急性移植物抗宿主病(a GVHD)中Treg细胞(调节性T细胞)的基因表达谱变化,为认识a GVHD的发病机制提供新的思路,同时也为早期诊断和治疗寻找潜在重要靶标分子。方法:利用GEO数据库下载a GVHD基因芯片数据,通过差异基因的筛选,GO分析,信号通路分析,最后获得的重要差异基因,并建立相互作用网络。结果:获得显著表达差异基因533个,功能富集分析及信号通路分析提示主要涉及到细胞周期、免疫反应、凋亡过程、细胞因子介导信号通路、同种异体移植物排斥、移植物抗宿主反应等。相互作用网络分析,得到前10个核心节点基因:PIK3R3、IL8、SOCS3、INPP4B、PIP5K1B、CSF2RB、IRS2、MYC、FOS、SOCS2。结论:利用生物信息学的方法,分析a GVHD基因芯片得到参与a GVHD的重要的细胞功能及信号通路,并且寻找到核心节点基因,为认识a GVHD的机制及治疗靶点提供新的思路。Objective：To screen Treg cells candidate genes of aGVHD by using the GEO database and explore the bioinformatics information of DEGs（different expressing genes）,so as to provide the new molecular markers for diag-nosis and treatment.Methods：The microarray data were collected from GEO database.SAM was used to find the DEGs,and then all DEGs were analyzed by GO and pathway analysis,finally create the gene signal network.Results：There were 533 DEGs,moreover the main results of GO and pathway analysis of DEGs were cell cycle,immune re-sponse,apoptosis,cytokine-mediated signaling pathway,allograft rejection and graft-versus-host disease.At last, we found the top 10 core node genes,they were PIK3R3,IL8,SOCS3,INPP4B,PIP5K1B,CSF2RB,IRS2,MYC,FOS, SOCS2.Conclusion：By using bioinformatics methods,we analyzed the gene chips of aGVHD,which helped us to un-derstand the mechanism during aGVHD and provided new potential treatment of targeted genes.

关 键 词：急性移植物抗宿主病 调节性T细胞 基因芯片 

分 类 号：R733[医药卫生—肿瘤]