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首页> 外文期刊>International journal of oncology >Screening of differentially expressed genes related to esophageal squamous cell carcinoma and functional analysis with DNA microarrays
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Screening of differentially expressed genes related to esophageal squamous cell carcinoma and functional analysis with DNA microarrays

机译:食管鳞状细胞癌相关差异表达基因的筛选及DNA微阵列功能分析

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The aim of this study was to find disease-associated genes and gene functions in esophageal squamous cell carcinoma (ESCC) with DNA microarrays. We downloaded the gene expression profile GSE20347 from the Gene Expression Omnibus database including 17 ESCC and 17 matched normal adjacent tissue samples. Compared with normal samples, the probe level data were pre-processed and the differentially expressed genes (DEGs) were identified (FDR 2) with packages in R language. The selected DEGs were further analyzed with bioinformatic methods. After an interaction network of DEGs was constructed by STRING, we selected the most important hub gene through network topological analysis (including node degree, clustering coefficient and path length) and analyzed functions and pathways of the hub gene network. A total of 538 genes were filtered as DEGs between normal and disease samples, and we selected the gene TSPO as the most important hub gene. Among its interactors, the CTSK gene and the IL8 gene participated in the toll-like receptor signaling pathway which is closely related to tumor occurrence. The TSPO gene and its interactors may affect the cancer-specific gene expression by participating in the toll-like receptor signaling pathway. Our discovery may be useful in investigating the complex interacting mechanisms underlying the disease. However, further experiments are still needed to confirm our result.
机译:这项研究的目的是利用DNA芯片技术发现食管鳞状细胞癌(ESCC)中与疾病相关的基因和基因功能。我们从Gene Expression Omnibus数据库下载了基因表达谱GSE20347,包括17个ESCC和17个匹配的正常邻近组织样品。与正常样品相比,对探针水平数据进行了预处理,并使用R语言的软件包标识了差异表达的基因(DEG)(FDR 2)。使用生物信息学方法进一步分析所选的DEG。通过STRING构建DEG的相互作用网络后,我们通过网络拓扑分析(包括节点度,聚类系数和路径长度)选择了最重要的枢纽基因,并分析了枢纽基因网络的功能和途径。在正常样本和疾病样本之间总共过滤了538个基因作为DEG,我们选择了TSPO基因作为最重要的中枢基因。在其相互作用因子中,CTSK基因和IL8基因参与了与肿瘤发生密切相关的toll样受体信号通路。 TSPO基因及其相互作用因子可能通过参与toll样受体信号通路来影响癌症特异性基因的表达。我们的发现可能有助于研究该疾病潜在的复杂相互作用机制。但是,仍然需要进一步的实验来确认我们的结果。

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