阿尔茨海默病的单细胞基因表达谱

Stephen D. Ginsberg , Shaoli Che , Scott E. Counts , Elliott J. Mufson
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引用次数: 52

摘要

微阵列技术的发展和实施,可以同时量化从正常对照对象和神经退行性病变大脑中选择的组织样本中数十到数百甚至数千个转录本的表达水平,使科学家能够创建阿尔茨海默病(AD)和相关疾病中易感神经元群体的分子指纹。我们的目标是在一个确定的区域内,从均匀的细胞类型中取样基因表达,而不受相邻神经元亚群和非神经元细胞表达谱的潜在污染。单细胞和群体细胞RNA分析结合微阵列和基于实时定量聚合酶链反应(qPCR)的分析提供的精确分辨率允许在不同实验条件和疾病进展下比较不同细胞类型的相对基因表达水平。分析单个细胞的能力是与mRNA表达的整体和区域评估的重要区别,可以应用于从神经变性动物模型以及死后人类脑组织中最佳制备的组织。对死后AD大脑区域(包括海马区和新皮层)的基因表达分析显示,选择性易感细胞类型在常见转录本类别中具有假定的致病改变,例如,谷氨酸神经传递标记物、突触相关标记物、蛋白磷酸酶和激酶以及神经营养因子/神经营养因子受体。脆弱区域和神经元的表达谱可能为理解各种神经系统疾病的分子发病机制提供重要线索,并有助于确定进行性、迟发性神经退行性疾病(如轻度认知障碍(MCI)和AD)的药物治疗干预的合理靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single Cell Gene Expression Profiling in Alzheimer’s Disease

Development and implementation of microarray techniques to quantify expression levels of dozens to hundreds to thousands of transcripts simultaneously within select tissue samples from normal control subjects and neurodegenerative diseased brains has enabled scientists to create molecular fingerprints of vulnerable neuronal populations in Alzheimer’s disease (AD) and related disorders. A goal is to sample gene expression from homogeneous cell types within a defined region without potential contamination by expression profiles of adjacent neuronal subpopulations and nonneuronal cells. The precise resolution afforded by single cell and population cell RNA analysis in combination with microarrays and real-time quantitative polymerase chain reaction (qPCR)–based analyses allows for relative gene expression level comparisons across cell types under different experimental conditions and disease progression. The ability to analyze single cells is an important distinction from global and regional assessments of mRNA expression and can be applied to optimally prepared tissues from animal models of neurodegeneration as well as postmortem human brain tissues. Gene expression analysis in postmortem AD brain regions including the hippocampal formation and neocortex reveals selectively vulnerable cell types share putative pathogenetic alterations in common classes of transcripts, for example, markers of glutamatergic neurotransmission, synaptic-related markers, protein phosphatases and kinases, and neurotrophins/neurotrophin receptors. Expression profiles of vulnerable regions and neurons may reveal important clues toward the understanding of the molecular pathogenesis of various neurological diseases and aid in identifying rational targets toward pharmacotherapeutic interventions for progressive, late-onset neurodegenerative disorders such as mild cognitive impairment (MCI) and AD.

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