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首页> 外文期刊>Epigenetics: official journal of the DNA Methylation Society >Assessment of methylation level prediction accuracy in methyl-DNA immunoprecipitation and sodium bisulfite based microarray platforms
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Assessment of methylation level prediction accuracy in methyl-DNA immunoprecipitation and sodium bisulfite based microarray platforms

机译:在甲基DNA免疫沉淀和基于亚硫酸氢钠的微阵列平台中评估甲基化水平的预测准确性

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摘要

In this study, we verified the accuracy of two array methods-methylated DNA immunoprecipitation coupled with CpG island microarrays (MeDIP-CGI-arrays) and sodium bisulfite conversion based microarrays (BC-arrays)-in predicting regional methylation levels as measured by pyrosequencing of bisulfite converted DNA (BC-pyrosequencing). To test the accuracy of these methods we used the Agilent Human CpG island and the Illumina Human Methylation27 microarrays respectively, and compared microarray outputs to the data from targeted BC-pyrosequencing assays from several genomic regions of corresponding samples. We observed relatively high correlation with BC-pyrosequencing data for both array platforms, R = 0.87 for BC-Array and R = 0.79 for MeDIP-CGI array. However, MeDIP-CGI array were less reliable in predicting intermediate levels of DNA methylation. Several bioinformatics strategies, to ameliorate the performance of the MeDIP-CGI-Arrays did not improve the correlation with BC-pyrosequencing data. The high scalability, low cost and simpler analysis of BC-arrays, together with the recent extended coverage may make them a more versatile methylation analysis tool.
机译:在这项研究中,我们验证了两种阵列方法-甲基化DNA免疫沉淀结合CpG岛微阵列(MeDIP-CGI-阵列)和基于亚硫酸氢钠转化的微阵列(BC-阵列)的准确性,这些方法可预测通过焦磷酸测序法测得的区域甲基化水平亚硫酸氢盐转化的DNA(BC-焦磷酸测序)。为了测试这些方法的准确性,我们分别使用了安捷伦人类CpG岛和Illumina人类甲基化27微阵列,并将微阵列输出与来自相应样品几个基因组区域的靶向BC-焦磷酸测序测定的数据进行了比较。我们在两个阵列平台上均观察到了与BC-焦磷酸测序数据的较高相关性,BC-Array的R = 0.87,MeDIP-CGI阵列的R = 0.79。但是,MeDIP-CGI阵列在预测DNA甲基化的中间水平方面不那么可靠。改善MeDIP-CGI-Arrays性能的几种生物信息学策略并未改善与BC-焦磷酸测序数据的相关性。 BC阵列的高可扩展性,低成本和更简单的分析,以及最近的扩展覆盖范围,可能使它们成为更通用的甲基化分析工具。

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