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Screening feature genes of osteosarcoma with DNA microarray: a bioinformatic analysis

机译:DNA微阵列筛查骨肉瘤特征基因的生物信息学分析

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摘要

To screen differentially expressed genes (DEGs) of Osteosarcoma (OS) by using the microarray expression profiles of tissues of normal person and patients with OS for early diagnosis and effective treatment of OS. We downloaded the gene expression profile of GES16088 from Gene Expression Omnibus database, including twenty samples from fourteen patients diagnosed with osteosarcoma and six normal samples as control groups. We identified the DEGs by Affy package in R language. Bioinformatic methods were used for further analysis of the screened DEGs. Firstly, cluster analysis was performed on the selected DEGs for comparison of the expression degree. After protein-protein interaction (PPI) network of differentially expressed genes was constructed by STRING, we analyzed gene functions with DAVID and WebGestalt. Compared with the control, we screened three distinctly up-regulated genes. These DEGs had close relationship with transmission signaling pathway, organ and system development. The up-regulated gene COL was the most representative genes among the DEGs. The screened DEGs have a great significance on studying mechanism of osteosarcoma. It might distinguish normal and pathological tissues of OS and thus become target genes for monitoring, diagnosis and treatment of the OS. It has the potential to use in clinic.
机译:利用正常人和OS患者组织的微阵列表达谱筛选骨肉瘤(OS)的差异表达基因(DEG),以早期诊断和有效治疗OS。我们从Gene Expression Omnibus数据库下载了GES16088的基因表达谱,包括来自十四名被诊断患有骨肉瘤的患者的二十个样本和六个正常样本作为对照组。我们用R语言按Affy包标识了DEG。使用生物信息学方法对筛选的DEG进行进一步分析。首先,对选择的DEG进行聚类分析以比较表达程度。通过STRING构建差异表达基因的蛋白质-蛋白质相互作用(PPI)网络后,我们使用DAVID和WebGestalt分析了基因功能。与对照相比,我们筛选了三个明显上调的基因。这些DEG与传输信号通路,器官和系统发育密切相关。在DEG中,上调的基因COL是最具代表性的基因。筛选的DEGs对研究骨肉瘤的机制具有重要意义。它可能区分OS的正常组织和病理组织,从而成为OS的监测,诊断和治疗的靶基因。它具有在临床中使用的潜力。

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