| 通过生物信息学分析鉴定干燥综合征的关键基因 |
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| 引用本文： | 郭俊恺,赵承磊,赵兴旺,王娟,葛兰,宋志强,游弋.通过生物信息学分析鉴定干燥综合征的关键基因[J].中国麻风皮肤病杂志,2021,37(3):131-135. |
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| 作者姓名： | 郭俊恺 赵承磊 赵兴旺 王娟 葛兰 宋志强 游弋 |
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| 作者单位： | 陆军军医大学第一附属医院皮肤科，重庆，400038 |
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| 基金项目： | 国家自然科学基金面上项目(编号:81673058);重庆市基础科学与前沿技术研究项目(编号:cstc2017jcyjAX0251)。 |
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| 摘 要： | 目的：使用生物信息学方法鉴定干燥综合征（SS）的关键差异表达基因（DEGs）。方法：从基因数据库中下载GSE23117和GSE127952的基因表达谱，用GEO2R在线工具和Venn软件筛选出其中的DEGs。通过DAVID网站进行GO和KEGG分析。使用STRING工具建立蛋白质-蛋白质相互作用（PPI）网络，用Cytoscape软件进行模块分析。结果：在SS标本中总共检测到31个DEGs重叠区域。其中28个上调基因和3个下调基因主要在免疫炎症中起作用。KEGG分析显示DEGs与细胞因子-细胞因子受体相互作用、趋化因子信号通路、阿米巴病和白细胞跨内皮迁移有关。PPI和模块分析显示CXCL9、CXCL11、CXCL13、CCR1、CD69、PTPRC、GPR183、MMP9和IL-10基因显著富集。结论：CXCL9、CXCL11、CXCL13、CCR1、CD69、PTPRC、GPR183、MMP9和IL-10可能与SS的发生和进展有关。
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| 关 键 词： | 生物标记 基因表达谱 干燥综合征 |
Identification of key genes of Sjogren s syndrome by bioinformatics analysis |
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| GUO Junkai,ZHAO Chenglei,ZHAO Xingwang,WANG Juan,GE Lan,SONG Zhiqiang,YOU Yi.Identification of key genes of Sjogren s syndrome by bioinformatics analysis[J].China Journal of Leprosy and Skin Diseases,2021,37(3):131-135. |
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| Authors: | GUO Junkai ZHAO Chenglei ZHAO Xingwang WANG Juan GE Lan SONG Zhiqiang YOU Yi |
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| Affiliation: | Department of Dermatology, Southwest Hospital, Army Medical University, Chongqing 400038, China |
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| Abstract: | Objective:To identify the key differentially expressed genes(DEGs)of Sjogren s syndrome(SS)by bioinformatics methods.Methods:The gene expression profiles of GSE23117 and GSE127952 were downloaded from the gene database,the DEGs were selected by GEO2R online tool and Venn diagram software.GO and KEGG analysis were carried out through DAVID website.The(PPI)network of protein-protein interaction was established by STRING tool,the module analysis was carried out by Cytoscape software.Results:A total of 31 overlapping regions of DEGs were detected in SS specimens,including 28 up-regulated genes and 3 down-regulated genes,which mainly played a role in immune inflammation.KEGG analysis showed that DEGs pathways were related to cytokine-cytokine receptor interaction,chemokine signaling pathway,amoebiasis and leukocyte transendothelial migration.PPI and module analysis showed that CXCL9,CXCL11,CXCL13,CCR1,CD69,PTPRC,GPR183,MMP9 and IL-10 genes were significantly enriched.Conclusion:CXCL9,CXCL11,CXCL13,CCR1,CD69,PTPRC,GPR183,MMP9 and IL-10 may be related to the onset and progress of SS. |
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| Keywords: | biological markers gene expression profiles Sjogren s syndrome |
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