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用于激光捕获显微切割处理样本的微阵列分析的RNA扩增方法与芯片平台比较

Comparison of RNA amplification methods and chip platforms for microarray analysis of samples processed by laser capture microdissection.

作者信息

Caretti Elena, Devarajan Karthik, Coudry Renata, Ross Eric, Clapper Margie L, Cooper Harry S, Bellacosa Alfonso

机构信息

Human Genetics Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.

出版信息

J Cell Biochem. 2008 Feb 1;103(2):556-63. doi: 10.1002/jcb.21426.

Abstract

Laser capture microdissection (LCM) permits isolation of pure cell populations from which RNA can be extracted, amplified, and subjected to microarray analysis, allowing information to be obtained on the gene expression profile of defined cell types. To avoid amplification artifacts and detect genes expressed at different levels, it is important to optimize the choice of both RNA amplification step and microarray platform. We captured by LCM the same colon cancer biopsy and conducted a cross comparison of distinct RNA amplification methods and different chip platforms. We tested two RNA amplification methods with different chemistry: the one-cycle Ovation system (NuGEN) and the two-cycle Ribo OA method (Arcturus). We also compared two different whole genome platforms, based on Affymetrix technology: the U133 plus 2.0 and the X3P array, with probe sets closer to the 3' end of transcripts. After RNA amplification, microarray analysis, and data normalization, we investigated reproducibility and correlation of different methods and arrays. Our results indicate that the Arcturus Ribo OA method is superior for both array choices, especially in combination with X3P arrays, showing the lowest variance and Spearman correlation of 0.986. The quicker NuGEN procedure, when coupled with X3P arrays, also yielded excellent results (correlation of 0.951). These observations will be useful for planning large-scale analyses of LCM-dissected clinical samples.

摘要

激光捕获显微切割(LCM)可从组织中分离出纯细胞群体,从中提取RNA、进行扩增并进行微阵列分析,从而获取特定细胞类型的基因表达谱信息。为避免扩增假象并检测不同表达水平的基因,优化RNA扩增步骤和微阵列平台的选择非常重要。我们通过LCM捕获了同一份结肠癌活检样本,并对不同的RNA扩增方法和不同的芯片平台进行了交叉比较。我们测试了两种具有不同化学原理的RNA扩增方法:单循环Ovation系统(NuGEN)和双循环Ribo OA方法(Arcturus)。我们还基于Affymetrix技术比较了两种不同的全基因组平台:U133 plus 2.0和X3P阵列,其中X3P阵列的探针集更靠近转录本的3'端。在RNA扩增、微阵列分析和数据归一化之后,我们研究了不同方法和阵列的重现性和相关性。我们的结果表明,Arcturus Ribo OA方法在两种阵列选择中均表现出色,特别是与X3P阵列结合使用时,方差最低,Spearman相关性为0.986。更快的NuGEN程序与X3P阵列结合使用时,也产生了出色的结果(相关性为0.951)。这些观察结果将有助于规划对LCM切割的临床样本进行大规模分析。

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