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
收藏
页数:15
相关论文
共 50 条
  • [31] Methodological aspects of whole-genome bisulfite sequencing analysis
    Adusumalli, Swarnaseetha
    Omar, Mohd Feroz Mohd
    Soong, Richie
    Benoukraf, Touati
    BRIEFINGS IN BIOINFORMATICS, 2015, 16 (03) : 369 - 379
  • [32] A Bayesian Approach for Analysis of Whole-Genome Bisulfite Sequencing Data Identifies Disease-Associated Changes in DNA Methylation
    Rackham, Owen J. L.
    Langley, Sarah R.
    Oates, Thomas
    Vradi, Eleni
    Harmston, Nathan
    Srivastava, Prashant K.
    Behmoaras, Jacques
    Dellaportas, Petros
    Bottolo, Leonardo
    Petretto, Enrico
    GENETICS, 2017, 205 (04) : 1443 - 1458
  • [33] Comparison of Whole-Genome DNA Methylation Patterns in Whole Blood, Saliva, and Lymphoblastoid Cell Lines
    Thompson, Tara M.
    Sharfi, Duaa
    Lee, Maria
    Yrigollen, Carolyn M.
    Naumova, Oksana Yu
    Grigorenko, Elena L.
    BEHAVIOR GENETICS, 2013, 43 (02) : 168 - 176
  • [34] A comparison of existing global DNA methylation assays to low-coverage whole-genome bisulfite sequencing for epidemiological studies
    Crary-Dooley, Florence K.
    Tam, Mitchell E.
    Dunaway, Keith W.
    Hertz-Picciotto, Irva
    Schmidt, Rebecca J.
    LaSalle, Janine M.
    EPIGENETICS, 2017, 12 (03) : 206 - 214
  • [35] Comparison of Whole-Genome DNA Methylation Patterns in Whole Blood, Saliva, and Lymphoblastoid Cell Lines
    Tara M. Thompson
    Duaa Sharfi
    Maria Lee
    Carolyn M. Yrigollen
    Oksana Yu Naumova
    Elena L. Grigorenko
    Behavior Genetics, 2013, 43 : 168 - 176
  • [36] Characterization of whole-genome autosomal differences of DNA methylation between men and women
    Paula Singmann
    Doron Shem-Tov
    Simone Wahl
    Harald Grallert
    Giovanni Fiorito
    So-Youn Shin
    Katharina Schramm
    Petra Wolf
    Sonja Kunze
    Yael Baran
    Simonetta Guarrera
    Paolo Vineis
    Vittorio Krogh
    Salvatore Panico
    Rosario Tumino
    Anja Kretschmer
    Christian Gieger
    Annette Peters
    Holger Prokisch
    Caroline L. Relton
    Giuseppe Matullo
    Thomas Illig
    Melanie Waldenberger
    Eran Halperin
    Epigenetics & Chromatin, 8
  • [37] Characterization of whole-genome autosomal differences of DNA methylation between men and women
    Singmann, Paula
    Shem-Tov, Doron
    Wahl, Simone
    Grallert, Harald
    Fiorito, Giovanni
    Shin, So-Youn
    Schramm, Katharina
    Wolf, Petra
    Kunze, Sonja
    Baran, Yael
    Guarrera, Simonetta
    Vineis, Paolo
    Krogh, Vittorio
    Panico, Salvatore
    Tumino, Rosario
    Kretschmer, Anja
    Gieger, Christian
    Peters, Annette
    Prokisch, Holger
    Relton, Caroline L.
    Matullo, Giuseppe
    Illig, Thomas
    Waldenberger, Melanie
    Halperin, Eran
    EPIGENETICS & CHROMATIN, 2015, 8
  • [38] Whole-genome bisulfite sequencing analysis of circulating tumour DNA for the detection and molecular classification of cancer
    Gao, Yibo
    Zhao, Hengqiang
    An, Ke
    Liu, Zongzhi
    Hai, Luo
    Li, Renda
    Zhou, Yang
    Zhao, Weipeng
    Jia, Yongsheng
    Wu, Nan
    Li, Lingyu
    Ying, Jianming
    Wang, Jie
    Xu, Binghe
    Wu, Zhihong
    Tong, Zhongsheng
    He, Jie
    Sun, Yingli
    CLINICAL AND TRANSLATIONAL MEDICINE, 2022, 12 (08):
  • [39] Lineage and Parent-of-Origin Effects in DNA Methylation of Honey Bees (Apis mellifera) Revealed by Reciprocal Crosses and Whole-Genome Bisulfite Sequencing
    Wu, Xin
    Galbraith, David A.
    Chatterjee, Paramita
    Jeong, Hyeonsoo
    Grozinger, Christina M.
    Yi, Soojin, V
    GENOME BIOLOGY AND EVOLUTION, 2020, 12 (08): : 1482 - 1492
  • [40] Whole-Genome Methylation Sequencing Analysis and Functional Verification of LIM-Homeobox Family Genes in Cervical Cancer
    Yu, Rong
    Yu, Qin
    Shi, Jie
    Meng, Xue
    Deng, Zhiyuan
    Suo, Jing
    Yang, Hao
    INTERNATIONAL JOURNAL OF GENERAL MEDICINE, 2025, 18 : 87 - 102