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开发一种通用寡核苷酸参考标准,用于微阵列数据标准化,并比较不同微生物群落之间的差异。

Development of a common oligonucleotide reference standard for microarray data normalization and comparison across different microbial communities.

机构信息

Institute for Environmental Genomics and Department of Botany and Microbiology, University of Oklahoma, Norman, OK 73019, USA.

出版信息

Appl Environ Microbiol. 2010 Feb;76(4):1088-94. doi: 10.1128/AEM.02749-09. Epub 2009 Dec 28.

Abstract

High-density functional gene arrays have become a powerful tool for environmental microbial detection and characterization. However, microarray data normalization and comparison for this type of microarray remain a challenge in environmental microbiology studies because some commonly used normalization methods (e.g., genomic DNA) for the study of pure cultures are not applicable. In this study, we developed a common oligonucleotide reference standard (CORS) method to address this problem. A unique 50-mer reference oligonucleotide probe was selected to co-spot with gene probes for each array feature. The complementary sequence was synthesized and labeled for use as the reference target, which was then spiked and cohybridized with each sample. The signal intensity of this reference target was used for microarray data normalization and comparison. The optimal amount or concentration were determined to be ca. 0.5 to 2.5% of a gene probe for the reference probe and ca. 0.25 to 1.25 fmol/microl for the reference target based on our evaluation with a pilot array. The CORS method was then compared to dye swap and genomic DNA normalization methods using the Desulfovibrio vulgaris whole-genome microarray, and significant linear correlations were observed. This method was then applied to a functional gene array to analyze soil microbial communities, and the results demonstrated that the variation of signal intensities among replicates based on the CORS method was significantly lower than the total intensity normalization method. The developed CORS provides a useful approach for microarray data normalization and comparison for studies of complex microbial communities.

摘要

高密度功能基因芯片已成为环境微生物检测和特征描述的有力工具。然而,对于此类微阵列,微阵列数据的归一化和比较仍然是环境微生物学研究中的一个挑战,因为一些常用于纯培养物研究的常用归一化方法(例如基因组 DNA)并不适用。在这项研究中,我们开发了一种通用寡核苷酸参考标准(CORS)方法来解决这个问题。选择了一个独特的 50 -mer 参考寡核苷酸探针与每个阵列特征的基因探针共点。合成互补序列并标记为参考靶标,然后将其与每个样品一起掺入并共杂交。该参考靶标的信号强度用于微阵列数据的归一化和比较。根据我们使用试点阵列的评估,确定参考探针的最佳量或浓度约为基因探针的 0.5%至 2.5%,参考靶标的最佳量或浓度约为 0.25 至 1.25 fmol/µl。然后使用脱硫弧菌全基因组微阵列将 CORS 方法与染料交换和基因组 DNA 归一化方法进行比较,观察到显著的线性相关性。然后将该方法应用于功能基因阵列来分析土壤微生物群落,结果表明,基于 CORS 方法的重复信号强度变化明显低于总强度归一化方法。开发的 CORS 为复杂微生物群落研究中的微阵列数据归一化和比较提供了一种有用的方法。

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