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人类神经退行性疾病中的基因表达谱分析。

Gene expression profiling in human neurodegenerative disease.

机构信息

Academic Unit of Neurology, Sheffield Institute for Translational Neuroscience, University of Sheffield, 385A Glossop Road, Sheffield S10 2HQ, UK.

出版信息

Nat Rev Neurol. 2012 Sep;8(9):518-30. doi: 10.1038/nrneurol.2012.156. Epub 2012 Aug 14.

DOI:10.1038/nrneurol.2012.156
PMID:22890216
Abstract

Transcriptome study in neurodegenerative disease has advanced considerably in the past 5 years. Increasing scientific rigour and improved analytical tools have led to more-reproducible data. Many transcriptome analysis platforms assay the expression of the entire genome, enabling a complete biological context to be captured. Gene expression profiling (GEP) is, therefore, uniquely placed to discover pathways of disease pathogenesis, potential therapeutic targets, and biomarkers. This Review summarizes microarray human GEP studies in the common neurodegenerative diseases amyotrophic lateral sclerosis (ALS), Parkinson disease (PD) and Alzheimer disease (AD). Several interesting reports have compared pathological gene expression in different patient groups, disease stages and anatomical areas. In all three diseases, GEP has revealed dysregulation of genes related to neuroinflammation. In ALS and PD, gene expression related to RNA splicing and protein turnover is disrupted, and several studies in ALS support involvement of the cytoskeleton. GEP studies have implicated the ubiquitin-proteasome system in PD pathogenesis, and have provided evidence of mitochondrial dysfunction in PD and AD. Lastly, in AD, a possible role for dysregulation of intracellular signalling pathways, including calcium signalling, has been highlighted. This Review also provides a discussion of methodological considerations in microarray sample preparation and data analysis.

摘要

在过去的 5 年中,神经退行性疾病的转录组研究取得了相当大的进展。越来越高的科学严谨性和改进的分析工具导致了更具可重复性的数据。许多转录组分析平台检测整个基因组的表达,从而能够捕获完整的生物学背景。因此,基因表达谱 (GEP) 非常适合发现疾病发病机制的途径、潜在的治疗靶点和生物标志物。这篇综述总结了在常见神经退行性疾病肌萎缩侧索硬化症 (ALS)、帕金森病 (PD) 和阿尔茨海默病 (AD) 中进行的人类微阵列 GEP 研究。有几个有趣的报告比较了不同患者群体、疾病阶段和解剖区域的病理基因表达。在所有三种疾病中,GEP 都揭示了与神经炎症相关的基因失调。在 ALS 和 PD 中,与 RNA 剪接和蛋白质周转相关的基因表达受到干扰,几项 ALS 研究支持细胞骨架的参与。GEP 研究表明泛素-蛋白酶体系统在 PD 发病机制中的作用,并为 PD 和 AD 中的线粒体功能障碍提供了证据。最后,在 AD 中,强调了细胞内信号通路(包括钙信号)失调的可能作用。本综述还讨论了微阵列样品制备和数据分析中的方法学考虑因素。

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