Lein Ed S, Zhao Xinyu, Gage Fred H
Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, California 92037, USA.
J Neurosci. 2004 Apr 14;24(15):3879-89. doi: 10.1523/JNEUROSCI.4710-03.2004.
The hippocampus consists of a series of cytoarchitecturally discrete subregions that can be distinguished from one another on the basis of morphology, connectivity, and electrophysiological properties. To understand the molecular underpinnings for these differences, DNA microarrays were used to find genes predicted to be enriched in subregions CA1, CA3, and the dentate gyrus, and >100 of these genes were subsequently analyzed using in situ hybridization to obtain cellular-level localization of their transcripts. The most striking commonality among the resulting patterns of gene expression is the extent to which cytoarchitectural boundaries within the hippocampus are respected, although the complexity of these patterns could not have been predicted on the basis of the microarray data alone. Among those genes with expression that can be characterized as "restricted" to neurons in one or more subregions of the hippocampus are a number of signal transduction molecules, transcription factors, calcium-binding proteins, and carbohydrate-modifying enzymes. These results suggest that important determinants of the unique identities of adult hippocampal neurons are differential signal transduction, regulation of gene expression, calcium homeostasis, and the maintenance of a unique extracellular milieu. Furthermore, the extremely high correlation between microarray data and in situ expression demonstrates the great utility of using DNA microarrays to genetically profile discrete brain regions.
海马体由一系列细胞结构上离散的亚区域组成,这些亚区域可根据形态、连接性和电生理特性相互区分。为了理解这些差异的分子基础,利用DNA微阵列来寻找预计在CA1、CA3和齿状回亚区域中富集的基因,随后使用原位杂交对其中100多个基因进行分析,以获得其转录本的细胞水平定位。基因表达模式最显著的共性是海马体内细胞结构边界被遵循的程度,尽管仅根据微阵列数据无法预测这些模式的复杂性。在那些表达可被描述为在海马体一个或多个亚区域中“局限于”神经元的基因中,有许多信号转导分子、转录因子、钙结合蛋白和碳水化合物修饰酶。这些结果表明,成年海马神经元独特身份的重要决定因素是差异信号转导、基因表达调控、钙稳态以及独特细胞外环境的维持。此外,微阵列数据与原位表达之间的极高相关性证明了使用DNA微阵列对离散脑区进行基因分析的巨大效用。