Chatterjee Aniruddha, Rodger Euan J, Stockwell Peter A, Weeks Robert J, Morison Ian M
Department of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, Dunedin 9054, New Zealand.
J Biomed Biotechnol. 2012;2012:741542. doi: 10.1155/2012/741542. Epub 2012 Oct 10.
Reduced representation bisulfite sequencing (RRBS), which couples bisulfite conversion and next generation sequencing, is an innovative method that specifically enriches genomic regions with a high density of potential methylation sites and enables investigation of DNA methylation at single-nucleotide resolution. Recent advances in the Illumina DNA sample preparation protocol and sequencing technology have vastly improved sequencing throughput capacity. Although the new Illumina technology is now widely used, the unique challenges associated with multiplexed RRBS libraries on this platform have not been previously described. We have made modifications to the RRBS library preparation protocol to sequence multiplexed libraries on a single flow cell lane of the Illumina HiSeq 2000. Furthermore, our analysis incorporates a bioinformatics pipeline specifically designed to process bisulfite-converted sequencing reads and evaluate the output and quality of the sequencing data generated from the multiplexed libraries. We obtained an average of 42 million paired-end reads per sample for each flow-cell lane, with a high unique mapping efficiency to the reference human genome. Here we provide a roadmap of modifications, strategies, and trouble shooting approaches we implemented to optimize sequencing of multiplexed libraries on an a RRBS background.
简化代表性亚硫酸氢盐测序(RRBS)结合了亚硫酸氢盐转化和新一代测序技术,是一种创新方法,可特异性富集具有高密度潜在甲基化位点的基因组区域,并能够在单核苷酸分辨率下研究DNA甲基化。Illumina DNA样本制备方案和测序技术的最新进展极大地提高了测序通量。尽管新的Illumina技术目前已被广泛使用,但此前尚未描述过在该平台上构建多重RRBS文库所面临的独特挑战。我们对RRBS文库制备方案进行了改进,以便在Illumina HiSeq 2000的单个流动池泳道上对多重文库进行测序。此外,我们的分析纳入了一个专门设计的生物信息学流程,用于处理亚硫酸氢盐转化后的测序读数,并评估多重文库产生的测序数据的输出和质量。每个流动池泳道每个样本平均获得4200万对末端读数,对参考人类基因组具有很高的唯一比对效率。在此,我们提供了我们实施的改进、策略和故障排除方法的路线图,以优化在RRBS背景下多重文库的测序。