引用本文: | 梁爽,凡奎,张燕,谢杨眉.IgA 肾病患者与膜性肾病患者外周血单核细胞mRNA分析[J].生物信息学,2020,18(3):163-168. |
| LIANG Shuang,FAN Kui,ZHANG Yan,XIE Yangmei.mRNA analysis of peripheral blood monocytes in patients with IgA nephropathy and with membranous nephropathy[J].Chinese Journal of Bioinformatics,2020,18(3):163-168. |
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摘要: |
为了寻找诊断、鉴别IgA肾病(IgAN)和膜性肾病(MN)的血液特异性标记物,利用公共数据库中的IgAN和MN患者的外周血单核细胞(PBMCs)的转录组表达谱数据集识别特异性生物标记物,为诊断和鉴别提供简便、可靠的依据补充。从公共基因表达数据库(GEO)下载IgAN患者组(n=15)和MN患者组(n=8)芯片数据集,筛选前250个差异表达基因(DEGs)。通过分析筛选关键基因和途径,进行基因本体(GO)富集分析、京都基因与基因组百科全书(KEGG)通路分析和蛋白质与蛋白质相互作用关系(PPI)分析等进一步了解DEGs。通过分析共发现75个显著DEGs,其中73个上调基因,2个下调基因。GO富集分析的生物学过程(BP)主要包括蛋白质转运、内溶酶体到溶酶体转运、趋化因子介导的信号通路作用等。显著富集差异表达基因KEGG通路分析包括Endocytosis和Hepatitis B的相关信号通路。PPI筛选出EPS15、STAT4、CCL2、SUN2、SEC24C、SEC31A、GOLGB1、F2R,RAB12和PTK2B等关键基因。成功筛选出核心差异表达基因,为IgAN和MN的诊断和鉴别提供简便、可靠的依据补充,甚至提供治疗的新靶点。 |
关键词: IgA肾病 膜性肾病 外周血单核细胞 生物信息学 |
DOI:10.12113/201909003 |
分类号:R692.3 |
文献标识码:A |
基金项目: |
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mRNA analysis of peripheral blood monocytes in patients with IgA nephropathy and with membranous nephropathy |
LIANG Shuang, FAN Kui, ZHANG Yan, XIE Yangmei
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(Department of Nephrology, Santai Peoples Hospital of Sichuan Province, Mianyang 621100, Sichuan, China)
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Abstract: |
In order to select blood specified markers for diagnosis and identification of IgA nephropathy (IgAN) and membranous nephropathy (MN), transcriptome expression profile data set of peripheral blood mononuclear cells (PBMCs) collected from patients with IgAN and MN was obtained from public database and then analyzed, which provides convenient and reliable basis for diagnosis and identification. Chip data set of patients with IgAN (n=15) and MN (n=8) was downloaded from Gene Expression Omnibus (GEO), from which the first 250 differentially expressed genes (DEGs) were screened out. Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Gene and Genome (KEGG) pathway analysis, and Protein-Protein Interaction (PPI) analysis were conducted to further understand DEGs by analyzing and screening key genes and pathways. A total of 75 significant GENES were selected, including 73 up-regulated genes and 2 down-regulated genes. Biological process (BP) of GO enrichment analysis mainly involved protein transport, endosome to lysosome transport, chemokine-mediated signaling pathway, and so on. Endocytosis and Hepatitis B related signaling pathways were based on KEGG pathway analysis of significantly enriched DEGs. Key genes such as EPS15, STAT4, CCL2, SUN2, SEC24C, SEC31A, GOLGB1, F2R, RAB12,and PTK2Bwere screened out by PPI. Therefore,the core DEGs which were successfully selected in this study provide not only convenient and reliable additional evidence for the diagnosis and identification of IgAN and MN, but also potential therapeutic targets. |
Key words: IgA nephropathy Membranous nephropathy Peripheral blood mononuclear cells Bioinformatics |