首页> 外文期刊>Journal of cellular biochemistry. >Comparison of RNA amplification methods and chip platforms for microarray analysis of samples processed by laser capture microdissection.
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Comparison of RNA amplification methods and chip platforms for microarray analysis of samples processed by laser capture microdissection.

机译:激光捕获显微切割处理的样品的微阵列分析的RNA扩增方法和芯片平台的比较。

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摘要

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.
机译:激光捕获显微切割(LCM)允许分离纯细胞群,从中可以提取,扩增RNA并进行微阵列分析,从而可以获取有关确定细胞类型的基因表达谱的信息。为避免扩增伪像并检测以不同水平表达的基因,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进行了相同的结肠癌活检,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。我们测试了两种化学性质不同的RNA扩增方法:单周期Ovation系统(NuGEN)和两周期Ribo OA方法(Arcturus)。我们还比较了基于Affymetrix技术的两个不同的全基因组平台:U133 plus 2.0和X3P阵列,探针组更靠近转录本的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可重复性和相关性。我们的结果表明,Arcturus Ribo OA方法对于两种阵列选择均具有优越性,尤其是与X3P阵列结合使用时,方差和Spearman相关性最低,为0.986。与X3P阵列配合使用时,较快的NuGEN程序也产生了出色的结果(相关系数为0.951)。这些观察结果对于计划对LCM解剖的临床样品进行大规模分析很有用。

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