Chen Gary G, Diallo Alpha B, Poujol Raphaël, Nagy Corina, Staffa Alfredo, Vaillancourt Kathryn, Lutz Pierre-Eric, Ota Vanessa K, Mash Deborah C, Turecki Gustavo, Ernst Carl
Department of Psychiatry, McGill University, Douglas Hospital Research Institute, Montreal, Quebec, Canada.
BMC Genomics. 2014 Apr 16;15:290. doi: 10.1186/1471-2164-15-290.
Bisulfite sequencing is the most efficient single nucleotide resolution method for analysis of methylation status at whole genome scale, but improved quality control metrics are needed to better standardize experiments.
We describe BisQC, a step-by-step method for multiplexed bisulfite-converted DNA library construction, pooling, spike-in content, and bioinformatics. We demonstrate technical improvements for library preparation and bioinformatic analyses that can be done in standard laboratories. We find that decoupling amplification of bisulfite converted (bis) DNA from the indexing reaction is an advantage, specifically in reducing total PCR cycle number and pre-selecting high quality bis-libraries. We also introduce a progressive PCR method for optimal library amplification and size-selection. At the sequencing stage, we thoroughly test the benefits of pooling non-bis DNA library with bis-libraries and find that BisSeq libraries can be pooled with a high proportion of non-bis DNA libraries with minimal impact on BisSeq output. For informatics analysis, we propose a series of optimization steps including the utilization of the mitochondrial genome as a QC standard, and we assess the validity of using duplicate reads for coverage statistics.
We demonstrate several quality control checkpoints at the library preparation, pre-sequencing, post-sequencing, and post-alignment stages, which should prove useful in determining sample and processing quality. We also determine that including a significant portion of non-bisulfite converted DNA with bisulfite converted DNA has a minimal impact on usable bisulfite read output.
亚硫酸氢盐测序是全基因组规模甲基化状态分析中最有效的单核苷酸分辨率方法,但需要改进质量控制指标以更好地规范实验。
我们描述了BisQC,这是一种用于多重亚硫酸氢盐转化DNA文库构建、混合、掺入内参以及生物信息学分析的分步方法。我们展示了可在标准实验室中进行的文库制备和生物信息学分析的技术改进。我们发现将亚硫酸氢盐转化(bis)DNA的扩增与索引反应解耦是一个优势,特别是在减少总PCR循环数和预选择高质量bis文库方面。我们还引入了一种渐进式PCR方法用于优化文库扩增和大小选择。在测序阶段,我们全面测试了将非bis DNA文库与bis文库混合的好处,发现BisSeq文库可以与高比例的非bis DNA文库混合,对BisSeq输出的影响最小。对于信息学分析,我们提出了一系列优化步骤,包括利用线粒体基因组作为质量控制标准,并评估使用重复读数进行覆盖度统计的有效性。
我们展示了在文库制备、测序前、测序后和比对后阶段的几个质量控制检查点,这在确定样本和处理质量方面应会很有用。我们还确定将大量未转化的DNA与转化后的DNA混合对可用的亚硫酸氢盐读数输出影响最小。