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单细胞微阵列分析方法及其在GABA能神经元祖细胞基因表达谱分析中的应用。

Method for single-cell microarray analysis and application to gene-expression profiling of GABAergic neuron progenitors.

作者信息

Esumi Shigeyuki, Wu Sheng-Xi, Yanagawa Yuchio, Obata Kunihiko, Sugimoto Yukihiko, Tamamaki Nobuaki

机构信息

Department of Morphological Neural Science, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto 860-8556, Japan.

出版信息

Neurosci Res. 2008 Apr;60(4):439-51. doi: 10.1016/j.neures.2007.12.011. Epub 2008 Jan 6.

DOI:10.1016/j.neures.2007.12.011
PMID:18280602
Abstract

The mammalian central nervous system is populated with various types of neurons and glia. To investigate the functions and development of individual cells requires gene-expression analysis at the single-cell level. Here, we developed a microarray-based method for the gene-expression profiling of single cells and tested it for GABAergic neuron progenitors. Single GABAergic neuron progenitors were collected from the neocortex of GAD67-GFP knock-in mice by dissociation followed by the aspiration of GFP-positive cells. Complementary DNA from the single cells was amplified by a method in which Super SMART PCR and T7 RNA polymerase amplification were combined at a optimized condition. The cRNA was subjected to microarray hybridization and analysis, which yielded reliable and reproducible results.

摘要

哺乳动物的中枢神经系统由各种类型的神经元和神经胶质细胞组成。要研究单个细胞的功能和发育,需要在单细胞水平上进行基因表达分析。在此,我们开发了一种基于微阵列的单细胞基因表达谱分析方法,并将其应用于γ-氨基丁酸能(GABAergic)神经元祖细胞的检测。通过解离从GAD67-GFP基因敲入小鼠的新皮质中收集单个GABAergic神经元祖细胞,然后吸出绿色荧光蛋白(GFP)阳性细胞。单细胞的互补DNA(cDNA)通过一种在优化条件下将超级智能PCR(Super SMART PCR)和T7 RNA聚合酶扩增相结合的方法进行扩增。将所得的互补RNA(cRNA)进行微阵列杂交和分析,得到了可靠且可重复的结果。

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