Department of Epigenetics, Van Andel Research Institute, 333 Bostwick Avenue NE, Grand Rapids, MI, 49503, USA.
Genomics Core, Van Andel Research Institute, 333 Bostwick Avenue NE, Grand Rapids, MI, 49503, USA.
Epigenetics Chromatin. 2021 Jun 19;14(1):28. doi: 10.1186/s13072-021-00401-y.
With rapidly dropping sequencing cost, the popularity of whole-genome DNA methylation sequencing has been on the rise. Multiple library preparation protocols currently exist. We have performed 22 whole-genome DNA methylation sequencing experiments on snap frozen human samples, and extensively benchmarked common library preparation protocols for whole-genome DNA methylation sequencing, including three traditional bisulfite-based protocols and a new enzyme-based protocol. In addition, different input DNA quantities were compared for two kits compatible with a reduced starting quantity. In addition, we also present bioinformatic analysis pipelines for sequencing data from each of these library types.
An assortment of metrics were collected for each kit, including raw read statistics, library quality and uniformity metrics, cytosine retention, and CpG beta value consistency between technical replicates. Overall, the NEBNext Enzymatic Methyl-seq and Swift Accel-NGS Methyl-Seq kits performed quantitatively better than the other two protocols. In addition, the NEB and Swift kits performed well at low-input amounts, validating their utility in applications where DNA is the limiting factor.
The NEBNext Enzymatic Methyl-seq kit appeared to be the best option for whole-genome DNA methylation sequencing of high-quality DNA, closely followed by the Swift kit, which potentially works better for degraded samples. Further, a general bioinformatic pipeline is applicable across the four protocols, with the exception of extra trimming needed for the Swift Biosciences's Accel-NGS Methyl-Seq protocol to remove the Adaptase sequence.
随着测序成本的迅速降低,全基因组 DNA 甲基化测序的普及程度不断提高。目前有多种文库制备方案。我们已经在冷冻的人类样本上进行了 22 次全基因组 DNA 甲基化测序实验,并广泛比较了全基因组 DNA 甲基化测序的常见文库制备方案,包括三种传统的基于亚硫酸氢盐的方案和一种新的基于酶的方案。此外,我们还比较了两种适用于减少起始量的试剂盒的不同输入 DNA 量。此外,我们还为来自每种文库类型的测序数据提供了生物信息学分析管道。
为每个试剂盒收集了各种指标,包括原始读取统计信息、文库质量和均匀性指标、胞嘧啶保留率以及技术重复之间的 CpG β 值一致性。总体而言,NEBnext 酶促甲基化测序试剂盒和 Swift Accel-NGS 甲基化测序试剂盒的性能优于其他两种方案。此外,NEB 和 Swift 试剂盒在低输入量下表现良好,验证了它们在 DNA 是限制因素的应用中的实用性。
NEBnext 酶促甲基化测序试剂盒似乎是高质量 DNA 全基因组 DNA 甲基化测序的最佳选择,紧随其后的是 Swift 试剂盒,该试剂盒可能更适用于降解样本。此外,除了需要对 Swift Biosciences 的 Accel-NGS 甲基化测序方案进行额外的修剪以去除 Adaptase 序列外,通用的生物信息学管道适用于这四种方案。