Evaluation of whole-genome DNA methylation sequencing library preparation protocols

被引:25
|
作者
Morrison, Jacob [1 ]
Koeman, Julie M. [2 ]
Johnson, Benjamin K. [1 ]
Foy, Kelly K. [1 ]
Beddows, Ian [1 ]
Zhou, Wanding [3 ,4 ]
Chesla, David W. [5 ]
Rossell, Larissa L. [5 ]
Siegwald, Emily J. [5 ]
Adams, Marie [2 ]
Shen, Hui [1 ]
机构
[1] Van Andel Res Inst, Dept Epigenet, 333 Bostwick Ave NE, Grand Rapids, MI 49503 USA
[2] Van Andel Res Inst, Genom Core, 333 Bostwick Ave NE, Grand Rapids, MI 49503 USA
[3] Childrens Hosp Philadelphia, Ctr Computat & Genom Med, 3501 Civ Ctr Blvd, Philadelphia, PA 19104 USA
[4] Univ Penn, Dept Pathol & Lab Med, Philadelphia, PA 19104 USA
[5] Spectrum Hlth Syst, Spectrum Hlth Off Res & Educ, 15 Michigan St NE, Grand Rapids, MI 49503 USA
基金
美国国家卫生研究院;
关键词
DNA methylation; Epigenetics; Whole-genome bisulfite sequencing; Enzymatic methylation sequencing; Fallopian tube; BISULFITE; EPIGENOME; MAPS;
D O I
10.1186/s13072-021-00401-y
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background 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. Results 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. Results 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.
引用
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页数:15
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