基因芯片分析Narasin对雌激素受体阳性乳腺癌细胞基因表达的影响  

Gene Microarray Analysis of the Effect of Narasin on Gene Expression in Estrogen Receptor-positive Breast Cancer Cells

作　　者：蔡卫吉 凌珺 王宝祯 马磊[2,3] 王彦凤 李涛 陈静 CAI Weiji;LING Jun;WANG Baozhen;MA Lei;WANG Yanfeng;LI Tao;CHEN Jing(School of Basic Medical Sciences,Ningxia Medical University,Yinchuan 750004,China;Key Laboratory of Fertility Maintenance,Ministry of Education,Ningxia Medical University,Yinchuan 750004,China;School of Clinical Medicine,Ningxia Medical University,Yinchuan 750004,China;Department of Surgical Oncology,Tumor Hospital,the General Hospital of Ningxia Medical University,Yinchuan 750004,China)

机构地区：[1]宁夏医科大学基础医学院,银川750004 [2]宁夏医科大学生育力保持教育部重点实验室,银川750004 [3]宁夏医科大学临床医学院,银川750004 [4]宁夏医科大学总医院肿瘤医院肿瘤外二科,银川750004

出　　处：《宁夏医科大学学报》2023年第5期439-444,共6页Journal of Ningxia Medical University

基　　金：国家自然科学基金项目(82260716,82060663);宁夏自然科学基金项目(2020AAC03178,2020AAC03403)。

摘　　要：目的 通过基因芯片技术分析Narasin处理对雌激素受体阳性(ER+)乳腺癌细胞基因表达的影响。方法 选取ER+乳腺癌MCF-7细胞株,用0.05 mmol·L^(-1)Narasin进行处理,将处理后的细胞分为对照组C(未经Narasin处理的3个重复组C1、C2、C3)及实验组T(经0.05 mmol·L^(-1)Narasin处理的3个重复组T1、T2、T3),并进行RNA的提纯;将RNA通过Affymetrix Gene Chip Prime View人类基因表达阵列进行分析,利用R语言limma包筛选出未经Narasin处理和0.05 mmol·L^(-1)Narasin处理的MCF-7细胞中的差异表达基因(DEGs),进而通过KEGG通路和GO富集分析研究DEGs的功能分布。结果 根据基因芯片的数据进行分析,发现DEGs共111个,其中82个基因表达上调,29个基因表达下调(差异均在1.5倍以上),且细胞中过表达与乳腺癌预后不良相关基因CYP24A1、EYA2等经Narasin处理后基因表达下调。GO富集分析结果显示,下调的DEGs主要富集在先天免疫系统、Ⅰ型干扰素信号通路、病毒基因组复制的负调控、免疫反应、伤口愈合、细胞迁移、基因表达调控、细胞黏附、膜的锚定组件、细胞因子活性、酶结合、DNA结合、双链RNA绑定等。KEGG通路分析结果显示,下调的DEGs主要富集于癌症中的小分子核糖核酸、单纯疱疹病毒感染、麻疹、黏着斑、ECM-受体相互作用、PI3K-Akt信号通路、甲型流感、Rap1信号通路及糖尿病并发症中的AGERAGE信号通路等。结论 基因芯片技术快速有效地反映了Narasin处理后ER+乳腺癌细胞相关基因及信号通路的改变,这些关键基因和通路为探讨Narasin作用的分子机制及关键靶标提供了新方向。Objective To analyze the effect of Narasin treatment on gene expression in estrogen receptor-positive(ER+)breast cancer cells by gene microarray technology.Methods An ER+breast cancer MCF-7 cell line was selected and treated with 0.05 mmol·L^(-1) Narasin.The collected cells were divided into control group C(three replicate groups C1,C2,C3 without Narasin treatment)and experimental group T(three replicate groups T1,T2,T3 treated with 0.05 mmol·L^(-1) Narasin),and RNA was purified.Affymetrix Gene Chip Prime View human gene expression arrays were analyzed,and genes that were abnormally expressed in MCF-7 cells without Narasin treatment and 0.05 mmol·L^(-1) Narasin treatment were screened using the R language limma package,the functional distribution of DEGs was then studied by KEGG pathway and GO enrichment analysis.Results Based on the analysis of gene microarray data,a total of 111 differentially expressed genes(DEGs)were identified,of which 82 genes were up-regulated and 29 genes were down-regulated(all differences were more than 1.5-fold),and found that overexpression of genes CYP24A1 and EYA2,which were associated with poor prognosis of breast cancer,were significantly downregulated by Narasin treatment.The results of GO analysis showed that the differential genes were mainly enriched in innate immune system,typeⅠinterferon signaling pathway,negative regulation of viral genome replication,immune response,wound healing,cell migration,gene expression regulation,cell adhesion,membrane anchoring components,cytokine activity,enzyme binding,DNA binding,and double-stranded RNA binding.The results of KEGG pathway enrichment analysis revealed that the down regulated differential genes were mainly enriched in small molecule RNA in cancer,herpes simplex virus infection,measles,adherent spots,ECM-receptor interaction,PI3K-Akt signaling pathway,influenza A,Rap1 signaling pathway,and AGE-RAGE signaling pathway in diabetic complications.Conclusion Gene chip technology quickly and effectively reflected the changes of rela

关 键 词：NARASIN 乳腺癌 基因芯片 生物信息学分析 差异表达基因 

分 类 号：R737.9[医药卫生—肿瘤]