摘要
为探究肾母细胞瘤(Nephroblastoma)发生的关键基因,并筛选出潜在的治疗靶点及生物标志,采用由GEO数据库获取的基因芯片GSE11151和GSE53224,经归一化处理后,通过GO和KEGG分析筛选出差异基因,并通过构建蛋白互作网络获得其中的关键基因.总计获得差异基因404个,其中上调基因385个,下调基因19个.PMCH、CCR5、CCR7、RGS1和KNG1作为关键基因,涉及趋化因子信号通路、G蛋白偶联信号通路,参与肿瘤微环境的形成.这5个关键基因在肾母细胞瘤的发生中有着重要作用,并可能作为潜在治疗靶点及生物标志.
This study was aim to identify gene signatures and potential therapeutic target in nephroblas- toma. Microarrays GSE11151 and GSE53224 were downloaded from GEO database. 57 Wilms tumor and 5 normal tissues profiles were screened by GO and KEGG enrichment analysis, and protein-protein interaction (PPI) network of the differentially expressed genes (DEGs) was constructed. In total, 404 DEGs were identified, including 385 up-regulated genes and 19 down-regulated genes. The biological processes of GO functional enrichment showed that up-regulated DEGs significantly involved in immune response, immune system process, and leukocyte cell-cell adhesion; while the down-regulated DEGS were related to excretion, metanephros development, and nephron development. In KEGG analysis, the DEGs were enriched in neuroactive ligand-receptor interaction, T cell receptor signaling pathway, and Chemokine signaling pathway. Five genes were identified as hub nodes from the PPI network, including PMCH, CCRS, CCR7, RGS1 and KNG1, which were mostly associated with Chemokine signaling path- way, G-protein coupled signaling pathway, and involved in shaping tumor microenvironment. In conclu- sion, the DEGs, particular hub genes, play significant roles in the development of nephroblastoma and might be the underlying target and diagnostic biomarkers for the treatment of nephroblastoma.
作者
许接天
胡兰琳
彭确昆
彭锐
邹方东
XU J ie-Tian 1, HU Lan-Lin , PENG Que-Kun 2 , PENG Ruil , ZOU Fang-Dong(1 Ministry of Education Key Laboratory of Bio-resources and Eco-environment, College of Life Sciences, Sichuan University, Chengdu 610065, China~ 2. Department of Biomedical Science, Chengdu Medical College, Chengdu 610083, China)
出处
《四川大学学报(自然科学版)》
CAS
CSCD
北大核心
2018年第2期414-418,共5页
Journal of Sichuan University(Natural Science Edition)
基金
国家自然科学基金(81301736)
关键词
肾母细胞瘤
差异基因
芯片分析
肿瘤微环境
Nephroblastoma
Differentially expressed genes
Microarray analysis
Tumor microenvironment