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Software updates in the Illumina HiSeq platform affect whole-genome bisulfite sequencing

机译:Illumina HiSeq平台中的软件更新会影响全基因组亚硫酸氢盐测序

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Background Methylation of cytosine in genomic DNA is a well-characterized epigenetic modification involved in many cellular processes and diseases. Whole-genome bisulfite sequencing (WGBS), such as MethylC-seq and post-bisulfite adaptor tagging sequencing (PBAT-seq), uses the power of high-throughput DNA sequencers and provides genome-wide DNA methylation profiles at single-base resolution. However, the accuracy and consistency of WGBS outputs in relation to the operating conditions of high-throughput sequencers have not been explored. Results We have used the Illumina HiSeq platform for our PBAT-based WGBS, and found that different versions of HiSeq Control Software (HCS) and Real-Time Analysis (RTA) installed on the system provided different global CpG methylation levels (approximately 5% overall difference) for the same libraries. This problem was reproduced multiple times with different WGBS libraries and likely to be associated with the low sequence diversity of bisulfite-converted DNA. We found that HCS was the major determinant in the observed differences. To determine which version of HCS is most suitable for WGBS, we used substrates with predetermined CpG methylation levels, and found that HCS v2.0.5 is the best among the examined versions. HCS v2.0.12 showed the poorest performance and provided artificially lower CpG methylation levels when 5-methylcytosine is read as guanine (first read of PBAT-seq and second read of MethylC-seq). In addition, paired-end sequencing of low diversity libraries using HCS v2.2.38 or the latest HCS v2.2.58 was greatly affected by cluster densities. Conclusions Software updates in the Illumina HiSeq platform can affect the outputs from low-diversity sequencing libraries such as WGBS libraries. More recent versions are not necessarily the better, and HCS v2.0.5 is currently the best for WGBS among the examined HCS versions. Thus, together with other experimental conditions, special care has to be taken on this point when CpG methylation levels are to be compared between different samples by WGBS.
机译:背景技术基因组DNA中胞嘧啶的甲基化是一种特征丰富的表观遗传修饰,涉及许多细胞过程和疾病。全基因组亚硫酸氢盐测序(WGBS),例如MethylC-seq和亚硫酸氢盐后衔接子标签测序(PBAT-seq),利用高通量DNA测序仪的功能,以单碱基分辨率提供全基因组DNA甲基化谱。但是,尚未探讨WGBS输出相对于高通量测序仪的工作条件的准确性和一致性。结果我们已将Illumina HiSeq平台用于基于PBAT的WGBS,发现系统上安装的不同版本的HiSeq控制软件(HCS)和实时分析(RTA)提供了不同的全局CpG甲基化水平(总体约为5%)相同的库)。使用不同的WGBS文库多次重复出现此问题,并且可能与亚硫酸氢盐转化的DNA的低序列多样性有关。我们发现,HCS是观察到差异的主要决定因素。为了确定哪种版本的HCS最适合WGBS,我们使用了具有预定CpG甲基化水平的底物,发现在所研究的版本中,HCS v2.0.5是最好的。当将5-甲基胞嘧啶读取为鸟嘌呤时(第一次读取PBAT-seq,第二次读取MethylC-seq),HCS v2.0.12显示出最差的性能并人为地降低了CpG甲基化水平。另外,使用HCS v2.2.38或最新的HCS v2.2.58的低多样性文库的配对末端测序受簇密度的影响很大。结论Illumina HiSeq平台中的软件更新可能会影响低多样性测序库(例如WGBS库)的输出。更新的版本不一定更好,并且在检查的HCS版本中,HCS v2.0.5当前是WGBS的最佳版本。因此,与其他实验条件一起,当要通过WGBS比较不同样品之间的CpG甲基化水平时,必须特别注意这一点。

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