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Gene expression profiling analysis of MENX-associated rat pituitary adenomas contributes to understand molecular mechanisms of human pituitary adenomas

机译:MENX相关大鼠垂体腺瘤的基因表达谱分析有助于理解人类垂体腺瘤的分子机制

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摘要

The present study aimed to screen potential genes associated with pituitary adenomas to obtain further understanding with regard to the pathogenesis of pituitary adenomas. The microarray dataset, containing 16 pituitary adenoma samples from multiple endocrine neoplasia syndrome-associated rats and 5 normal pituitary tissue samples, was downloaded from Gene Expression Omnibus. The Linear Models for Microarray Data package was used to identify the differentially-expressed genes (DEGs) with the cut-off criteria of a |log2fold change (FC)|>1 and adjusted P-values of <0.05. The potential functions of the DEGs were predicted by functional and pathway enrichment analysis with the Database for Annotation, Visualization and Integrated Discovery. Furthermore, the interaction associations of the up- and downregulated DEGs obtained from the Search Tool for the Retrieval of Interacting Genes database were respectively revealed by the protein-protein interaction networks visualized with Cytoscape. A total of 391 upregulated and 238 downregulated DEGs in were screened in the pituitary adenoma samples. The upregulated DEGs with a higher degree in the protein-protein interaction network (e.g., CCNA2, CCNB1 and CDC20) were significantly involved in cell cycle and cell division. Notably, PTTG1 was enriched in every functional term. These DEGs interacted with each other. The downregulated DEGs (e.g., GABRA1, GABRA4 and GABRB1) also interacted with each other, and were relevant to neuroactive ligand-receptor interaction; the DEG POU1F1, interacting with POMC, was correlated with the development of the pituitary gland, adenohypophysis and endocrine system. Certain DEGs, including CCNB1, CCNA2, CDC20, GABRA1, GABRA4, GABRB1, POU1F1 and POMC, and particularly PTTG1, were shown to be closely involved in the pathogenesis of pituitary adenomas.
机译:本研究旨在筛选与垂体腺瘤相关的潜在基因,以进一步了解垂体腺瘤的发病机理。从Gene Expression Omnibus下载了微阵列数据集,其中包含来自多个与内分泌肿瘤形成综合征相关的大鼠的16个垂体腺瘤样品和5个正常垂体组织样品。微阵列数据线性模型数据包用于鉴定差异表达基因(DEG),其截止标准为| log2倍变化(FC)|> 1,调整后的P值<0.05。 DEG的潜在功能通过注释和可视化数据库以及集成发现数据库的功能和途径富集分析进行了预测。此外,通过Cytoscape可视化的蛋白质-蛋白质相互作用网络分别揭示了从检索相互作用基因数据库的搜索工具中获得的上调和下调的DEG的相互作用关联。在垂体腺瘤样品中共筛选了391个上调的DEG和238个下调的DEG。蛋白质-蛋白质相互作用网络中较高程度的DEG(例如CCNA2,CCNB1和CDC20)明显参与细胞周期和细胞分裂。值得注意的是,PTTG1在每个功能术语中都丰富。这些DEG相互影响。下调的DEG(例如GABRA1,GABRA4和GABRB1)也互相影响,并且与神经活性的配体-受体相互作用有关; DEG POU1F1与POMC相互作用,与垂体,腺垂体和内分泌系统的发育有关。已显示某些DEG,包括CCNB1,CCNA2,CDC20,GABRA1,GABRA4,GABRB1,POU1F1和 POMC ,尤其是 PTTG1 ,与垂体腺瘤的发病机理密切相关。 。

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