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Gene Expression in Human brain and Cultured Human Neurons Exposed to cocaine and HIV-1 proteins gpl20 and tat

机译:暴露于可卡因和HIV-1蛋白gpl20和tat的人脑和培养的人神经元中的基因表达

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Background We studied gene expression in human neurons treated with cocaine, a major drug of abuse worldwide and HTV-1 proteins tat and envelope. We also investigated the differences between gene expression in human brain tissue of HTV+ and HTV- subjects. Our studies are part of several ongoing approaches to the study of NeuroAIDS including directly studying patients, post-mortem tissue, animal models, and cell models. Goals Our goal is to determine the optimum methods to analyze gene expression from cultured human neurons and brain tissue and to suggest genes that may be involved in pathogenesis. Methods We treated cultured neurons with tat, env, and cocaine in a 2x2x2 study design using eight separate conditions. RNA was purified, labeled, and analyzed on Aflymetrix U96A Microarray chips. Data was examined and final results were released that fulfilled Afrymetrix program quality control testing. We then analyzed the resulting intensities using Spotfire and SAS. We employed the Significance analysis of Microarrays (SAM) method to identify differentially expressed genes and to control the false discovery rate (FDR). Results We found different analytic approaches resulted in different genes that distinguishing among the various treatments as detailed in the text. Discussion We find that several methods identify possible diagnostic genes involved in the pathogenesis of NeuroAIDS dementia. They should be compared prior to settling on a primary method. Conclusion We intend to explore further the significance of our findings in order to determine optimum Bioinformatics methods.
机译:背景我们研究了可卡因治疗人类神经元中的基因表达,可卡因是一种世界范围内滥用的主要药物,其HTV-1蛋白达及包膜。我们还研究了HTV +和HTV-受试者在人脑组织中基因表达之间的差异。我们的研究是对NeuroAIDS进行研究的几种正在进行的方法的一部分,包括直接研究患者,验尸组织,动物模型和细胞模型。目标我们的目标是确定分析培养的人类神经元和脑组织中基因表达的最佳方法,并提出可能与发病机制有关的基因。方法我们在8个单独的条件下,以2x2x2的研究设计,用tat,env和可卡因处理培养的神经元。将RNA纯化,标记并在Aflymetrix U96A Microarray芯片上进行分析。检查数据并发布最终结果,以完成Afrymetrix程序质量控制测试。然后,我们使用Spotfire和SAS分析了得到的强度。我们采用微阵列的重要性分析(SAM)方法来识别差异表达的基因并控制错误发现率(FDR)。结果我们发现不同的分析方法导致产生不同的基因,这些基因区分了本文详述的各种处理方法。讨论我们发现,有几种方法可以识别可能与NeuroAIDS痴呆症发病机制有关的诊断基因。在确定主要方法之前,应对它们进行比较。结论我们打算进一步探索我们发现的意义,以确定最佳的生物信息学方法。

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