Li Guangbin, Jiang Wei, Kang Yunteng, Yu Xiaojun, Zhang Chengpeng, Feng Yu
Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Ann Transl Med. 2020 Dec;8(24):1672. doi: 10.21037/atm-20-7867.
To undertake a bioinformatics analysis to identify abnormally expressed genes [also referred to as differentially expressed genes (DEGs)] and their functions in esophageal carcinoma (ESCA).
DEGs (i.e., GSE100942, GSE17351, GSE26886, and GSE77861) were obtained from a gene expression omnibus database. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed using online tools from the Database for Annotation, Visualization and Integrated Discovery. A protein-protein interaction network was then constructed based on the Search Tool for the Retrieval of Interacting Genes website. Cytoscape software was used to identify the top 20 DEGs located in the central region of the network. For the overall survival analysis, a Kaplan-Meier analysis was conducted of the Gene Expression Profiling Interactive Analysis website, and collagen () 1A2 was selected to detect the molecular mechanism of -small interfering ribonucleic acid (siRNA) in the following ESCA cell lines: Eca109 and TE-1. Next, the expression of -messanger ribonucleic acid was determined using real-time quantitative polymerase chain reaction. The expression of was also verified by Western blot. Cell proliferation was measured by colony-forming and MTT assays, and migration and invasion by the transwell assay.
Based on the GEO database and screening out the hub gene, we identified that was abnormally expressed in ESCA. With a series of experiments, the expression of was defined as higher in Eca109 and TE-1.
was highly expressed in ESCA tissue samples. Additionally, the proliferation and metastasis of Eca109 and TE-1 cell lines were significantly attenuated by siRNA--mediated small interference. Notably, the expression level of was obviously related to the Akt and epithelial-mesenchymal transition (EMT) pathways.
进行生物信息学分析,以鉴定食管癌(ESCA)中异常表达的基因[也称为差异表达基因(DEG)]及其功能。
从基因表达综合数据库中获取DEG(即GSE100942、GSE17351、GSE26886和GSE77861)。使用来自注释、可视化和综合发现数据库的在线工具进行基因本体(GO)和京都基因与基因组百科全书(KEGG)分析。然后基于相互作用基因检索工具网站构建蛋白质-蛋白质相互作用网络。使用Cytoscape软件鉴定位于网络中心区域的前20个DEG。对于总生存分析,在基因表达谱交互式分析网站上进行Kaplan-Meier分析,并选择胶原蛋白()1A2在以下ESCA细胞系中检测小干扰核糖核酸(siRNA)的分子机制:Eca109和TE-1。接下来,使用实时定量聚合酶链反应测定信使核糖核酸的表达。还通过蛋白质免疫印迹法验证了的表达。通过集落形成和MTT试验测量细胞增殖,通过transwell试验测量迁移和侵袭。
基于GEO数据库并筛选出枢纽基因,我们鉴定出在ESCA中异常表达。通过一系列实验,确定在Eca109和TE-1中的表达较高。
在ESCA组织样本中高表达。此外,siRNA介导的小干扰显著减弱了Eca109和TE-1细胞系的增殖和转移。值得注意的是,的表达水平与Akt和上皮-间质转化(EMT)途径明显相关。