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模型指导的微阵列显示阿尔茨海默病的retromer复合体
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作者 Small S.A kent k +1 位作者 Pierce A 袁海峰 《世界核心医学期刊文摘(神经病学分册)》 2006年第5期13-14,共2页
Although, in principle, gene expression profiling is well suited to isolate pathogenic molecules associated with Alzheimer’s disease (AD), techniques such as microarray present unique analytic challenges when applied... Although, in principle, gene expression profiling is well suited to isolate pathogenic molecules associated with Alzheimer’s disease (AD), techniques such as microarray present unique analytic challenges when applied to disorders of the brain. Here, we addressed these challenges by first constructing a spatiotemporal model, predicting a priori how a molecule underlying AD should behave anatomically and over time. Then, guided by the model, we generated gene expression profiles of the entorhinal cortex and the dentate gyrus, harvested from the brains of AD cases and controls covering a broad age span. Among many expression differences, the retromer trafficking molecule VPS35 best conformed to the spatiotemporal model of AD. Western blotting confirmed the abnormality, establishing that VPS35 levels are reduced in brain regions selectively vulnerable to AD. VPS35 is the core molecule of the retromer trafficking complex and further analysis revealed that VPS26, another member of the complex, is also downregulated in AD. Cell culture studies, using small interfering RNAs or expression vectors, showed that VPS35 regulates Aβ peptide levels, establishing the relevance of the retromer complex to AD. Reviewing our findings in the context of recent studies suggests how downregulation of the retromer complex in AD can regulate local levels of Aβ peptide. 展开更多
关键词 阿尔茨海默病 复合体 微阵列 模型 显示 AD患者 分子机制 基因表达谱 表达下调 免疫印迹法
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