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Screening of differentially expressed genes associated with human glioblastoma and functional analysis using a DNA microarray

机译:筛选与人类胶质母细胞瘤相关的差异表达基因并使用DNA芯片进行功能分析

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Glioblastoma multiforme (GBM) is the most malignant type of human glioma, and has a poor prognosis. Screening differentially expressed genes (DEGs) in brain tumor samples and normal brain samples is of importance for identifying GBM and to design specific-targeting drugs. The transcriptional profile of GSE30563, containing three genechips of brain tumor samples and three genechips of normal brain samples, was downloaded from Gene Expression Omnibus to identify the DEGs. The differences in the expression of the DEGs in the two different samples were compared through hierarchical biclustering. The co-expression coefficient of the DEGs was calculated using the information from COXPRESdb, the network of the DEGs was constructed and functional enrichment and pathway analysis were performed. Finally, the transcription factors of important DEGs were predicted. A total of 1,006 DEGs, including 368 upregulated and 638 downregulated DEGs, were identified. A close correlation was demonstrated between six important genes, associated with immune response, HLA-DQB1, HLA-DRB1, HLA-DPA1, HLA-B, HLA-DMA and HLA-DRA, and the immune response. Allograft rejection was selected as the most significant pathway. A total of 17 transcription factors, including nuclear factor (NF)-kappa B and NF-kappa B1, and their binding sites containing these six DEGs, were also identified. The DEGs, including major histocompatibility complex (MHC) class II, DQ beta 1, MHC class II, DR beta 1, MHC class IB, MHC class II, DM alpha, MHC class II, DP alpha 1, MHC class II, DR alpha, may provide novel targets for the diagnosis and treatment of GBM. The transcription factors of these six genes and their binding sites may also provide evidence and direction for identifying target-specific drugs.
机译:多形胶质母细胞瘤(GBM)是人类神经胶质瘤最恶性的类型,预后较差。筛选脑肿瘤样品和正常脑样品中的差异表达基因(DEG)对于鉴定GBM和设计特异性靶向药物具有重要意义。从Gene Expression Omnibus下载了GSE30563的转录谱,其中包含三个脑肿瘤样品的基因芯片和三个正常脑样品的基因芯片,以鉴定DEG。通过分层双聚类比较了两个不同样品中DEGs表达的差异。利用来自COXPRESdb的信息计算DEG的共表达系数,构建DEG的网络,并进行功能富集和途径分析。最后,预测了重要DEG的转录因子。共确定了1,006个DEG,包括368个上调的DEG和638个下调的DEG。证实了与免疫应答相关的六个重要基因,HLA-DQB1,HLA-DRB1,HLA-DPA1,HLA-B,HLA-DMA和HLA-DRA之间密切相关。选择同种异体移植作为最重要的途径。还鉴定出总共17种转录因子,包括核因子(NF)-κB和NF-κB1,以及它们的结合位点,其中包含这六个DEG。 DEGs包括II类主要组织相容性复合物(MHC),DQ beta 1,MHC II类,DR beta 1,MHC II类,MHC II类,DM alpha,MHC II类,DP alpha 1,MHC II类,DR alpha ,可能为GBM的诊断和治疗提供新的靶标。这六个基因的转录因子及其结合位点也可能为鉴定靶标特异性药物提供证据和方向。

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