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激光捕获显微切割与定量实时PCR相结合:组织处理对RNA质量和基因表达的影响。

Combining laser capture microdissection with quantitative real-time PCR: effects of tissue manipulation on RNA quality and gene expression.

作者信息

Kerman Ilan A, Buck Bradley J, Evans Simon J, Akil Huda, Watson Stanley J

机构信息

Molecular and Behavioral Neuroscience Institute, Department of Psychiatry, University of Michigan, 205 Zina Pitcher Place, Ann Arbor, MI 48109, USA.

出版信息

J Neurosci Methods. 2006 May 15;153(1):71-85. doi: 10.1016/j.jneumeth.2005.10.010. Epub 2005 Dec 6.

Abstract

Laser capture microdissection (LCM) is increasingly being used in quantitative gene expression studies of the nervous system. The current study aimed at determining the impact of various tissue manipulations on the integrity of extracted RNA in LCM studies. Our data indicate that various tissue preparation strategies prior to microdissection may decrease RNA quality by as much as 25%, thus affecting expression profiles of some genes. To circumvent this problem, we developed a strategy for reverse transcriptase real-time PCR that has considerable sensitivity and can be used to calculate relative changes in gene expression. This approach was validated in subregions of the rat cerebellum. Accordingly, expression of glial gene markers - myelin-associated glycoprotein and proteolipid protein 1 - was found 70-160-fold higher in the white matter layer of the cerebellar cortex as compared to the neuron-enriched granular layer. In contrast, expression of a specific neuronal maker, neuron-specific enolase, was found seven-fold higher in the granular layer, as compared to the white matter layer. Furthermore, this approach had high sensitivity and specificity as we were able to detect a 38% decrease in the expression of neuron-specific enolase without a change in the expression of glial markers following administration of the neurotoxin, ibotenic acid. These results demonstrate feasibility of performing accurate semi-quantitative gene expression analyses in LCM samples.

摘要

激光捕获显微切割(LCM)越来越多地用于神经系统的定量基因表达研究。本研究旨在确定LCM研究中各种组织处理对提取RNA完整性的影响。我们的数据表明,显微切割前的各种组织制备策略可能会使RNA质量降低多达25%,从而影响某些基因的表达谱。为了解决这个问题,我们开发了一种用于逆转录酶实时PCR的策略,该策略具有相当高的灵敏度,可用于计算基因表达的相对变化。这种方法在大鼠小脑的亚区域得到了验证。因此,与富含神经元的颗粒层相比,在小脑皮质的白质层中发现神经胶质基因标记物——髓鞘相关糖蛋白和蛋白脂蛋白1的表达高70 - 160倍。相比之下,与白质层相比,在颗粒层中发现一种特定的神经元标记物——神经元特异性烯醇化酶的表达高7倍。此外,这种方法具有高灵敏度和特异性,因为在给予神经毒素鹅膏蕈氨酸后,我们能够检测到神经元特异性烯醇化酶的表达下降38%,而神经胶质标记物的表达没有变化。这些结果证明了在LCM样本中进行准确的半定量基因表达分析的可行性。

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