Analysis of gene expression in the normal and malignant cerebellum.

Robert J Wechsler-Reya
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引用次数: 36

Abstract

The developing nervous system consists of a small number of multipotent precursors that undergo extensive proliferation to generate the neurons and glia that make up the adult brain. Elucidating the mechanisms that control the growth and differentiation of these cells is important not only for understanding normal neural development but also for understanding the etiology of central nervous system tumors. A particularly striking example of this is in the cerebellum. Recent studies have suggested that the Sonic hedgehog-Patched signaling pathway plays a critical role in regulating the proliferation of cerebellar granule cell precursors and is also a major target of mutation in the cerebellar tumor medulloblastoma. In light of these observations, identification of additional genes that control cerebellar growth and differentiation is likely to provide important insight into the basis of cerebellar tumors. Similarly, analysis of gene expression in medulloblastoma will no doubt shed light on previously unknown signaling pathways that regulate normal cerebellar development. The advent of high-throughput gene expression analysis techniques--such as adapter-tagged competitive polymerase chain reaction (ATAC-PCR), serial analysis of gene expression (SAGE), and DNA microarrays--makes identification of such genes faster and easier than ever before. This review summarizes recent studies of gene expression in the cerebellum and discusses the value of such approaches for understanding development and tumorigenesis in this tissue.

正常小脑与恶性小脑基因表达分析。
发育中的神经系统由少数多能前体组成,这些前体经过广泛的增殖,产生构成成人大脑的神经元和神经胶质。阐明控制这些细胞生长和分化的机制不仅对理解正常的神经发育很重要,而且对理解中枢神经系统肿瘤的病因也很重要。一个特别突出的例子是小脑。最近的研究表明,Sonic hedgehog-Patched信号通路在调节小脑颗粒细胞前体增殖中起关键作用,也是小脑肿瘤成神经管细胞瘤的主要突变靶点。根据这些观察结果,鉴定控制小脑生长和分化的其他基因可能为小脑肿瘤的基础提供重要的见解。同样,分析成神经管细胞瘤的基因表达无疑将揭示以前未知的调节正常小脑发育的信号通路。高通量基因表达分析技术的出现——如适配器标记的竞争性聚合酶链反应(ATAC-PCR)、基因表达序列分析(SAGE)和DNA微阵列——使得这些基因的鉴定比以往任何时候都更快、更容易。本文综述了小脑中基因表达的最新研究,并讨论了这些方法对理解小脑组织的发育和肿瘤发生的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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