Literature DB >> 34140313

Enzymatic methyl sequencing detects DNA methylation at single-base resolution from picograms of DNA.

Romualdas Vaisvila1, V K Chaithanya Ponnaluri1, Zhiyi Sun1, Bradley W Langhorst1, Lana Saleh1, Shengxi Guan1, Nan Dai1, Matthew A Campbell1, Brittany S Sexton1, Katherine Marks1, Mala Samaranayake1, James C Samuelson1, Heidi E Church1, Esta Tamanaha1, Ivan R Corrêa1, Sriharsa Pradhan1, Eileen T Dimalanta1, Thomas C Evans1, Louise Williams1, Theodore B Davis1.   

Abstract

Bisulfite sequencing detects 5mC and 5hmC at single-base resolution. However, bisulfite treatment damages DNA, which results in fragmentation, DNA loss, and biased sequencing data. To overcome these problems, enzymatic methyl-seq (EM-seq) was developed. This method detects 5mC and 5hmC using two sets of enzymatic reactions. In the first reaction, TET2 and T4-BGT convert 5mC and 5hmC into products that cannot be deaminated by APOBEC3A. In the second reaction, APOBEC3A deaminates unmodified cytosines by converting them to uracils. Therefore, these three enzymes enable the identification of 5mC and 5hmC. EM-seq libraries were compared with bisulfite-converted DNA, and each library type was ligated to Illumina adaptors before conversion. Libraries were made using NA12878 genomic DNA, cell-free DNA, and FFPE DNA over a range of DNA inputs. The 5mC and 5hmC detected in EM-seq libraries were similar to those of bisulfite libraries. However, libraries made using EM-seq outperformed bisulfite-converted libraries in all specific measures examined (coverage, duplication, sensitivity, etc.). EM-seq libraries displayed even GC distribution, better correlations across DNA inputs, increased numbers of CpGs within genomic features, and accuracy of cytosine methylation calls. EM-seq was effective using as little as 100 pg of DNA, and these libraries maintained the described advantages over bisulfite sequencing. EM-seq library construction, using challenging samples and lower DNA inputs, opens new avenues for research and clinical applications.
© 2021 Vaisvila et al.; Published by Cold Spring Harbor Laboratory Press.

Entities:  

Year:  2021        PMID: 34140313      PMCID: PMC8256858          DOI: 10.1101/gr.266551.120

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  43 in total

1.  A genomic sequencing protocol that yields a positive display of 5-methylcytosine residues in individual DNA strands.

Authors:  M Frommer; L E McDonald; D S Millar; C M Collis; F Watt; G W Grigg; P L Molloy; C L Paul
Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-01       Impact factor: 11.205

2.  Bisulfite-free direct detection of 5-methylcytosine and 5-hydroxymethylcytosine at base resolution.

Authors:  Yibin Liu; Paulina Siejka-Zielińska; Gergana Velikova; Ying Bi; Fang Yuan; Marketa Tomkova; Chunsen Bai; Lei Chen; Benjamin Schuster-Böckler; Chun-Xiao Song
Journal:  Nat Biotechnol       Date:  2019-02-25       Impact factor: 54.908

3.  Single-cell 5hmC sequencing reveals chromosome-wide cell-to-cell variability and enables lineage reconstruction.

Authors:  Dylan Mooijman; Siddharth S Dey; Jean-Charles Boisset; Nicola Crosetto; Alexander van Oudenaarden
Journal:  Nat Biotechnol       Date:  2016-06-27       Impact factor: 54.908

4.  High-resolution enzymatic mapping of genomic 5-hydroxymethylcytosine in mouse embryonic stem cells.

Authors:  Zhiyi Sun; Jolyon Terragni; Terragni Jolyon; Janine G Borgaro; Yiwei Liu; Ling Yu; Shengxi Guan; Hua Wang; Dapeng Sun; Xiaodong Cheng; Zhenyu Zhu; Sriharsa Pradhan; Yu Zheng
Journal:  Cell Rep       Date:  2013-01-24       Impact factor: 9.423

5.  Nondestructive enzymatic deamination enables single-molecule long-read amplicon sequencing for the determination of 5-methylcytosine and 5-hydroxymethylcytosine at single-base resolution.

Authors:  Zhiyi Sun; Romualdas Vaisvila; Laura-Madison Hussong; Bo Yan; Chloé Baum; Lana Saleh; Mala Samaranayake; Shengxi Guan; Nan Dai; Ivan R Corrêa; Sriharsa Pradhan; Theodore B Davis; Thomas C Evans; Laurence M Ettwiller
Journal:  Genome Res       Date:  2021-01-19       Impact factor: 9.043

6.  Developmental remodelling of non-CG methylation at satellite DNA repeats.

Authors:  Samuel E Ross; Allegra Angeloni; Fan-Suo Geng; Alex de Mendoza; Ozren Bogdanovic
Journal:  Nucleic Acids Res       Date:  2020-12-04       Impact factor: 16.971

7.  deepTools2: a next generation web server for deep-sequencing data analysis.

Authors:  Fidel Ramírez; Devon P Ryan; Björn Grüning; Vivek Bhardwaj; Fabian Kilpert; Andreas S Richter; Steffen Heyne; Friederike Dündar; Thomas Manke
Journal:  Nucleic Acids Res       Date:  2016-04-13       Impact factor: 16.971

8.  Substrate sequence selectivity of APOBEC3A implicates intra-DNA interactions.

Authors:  Tania V Silvas; Shurong Hou; Wazo Myint; Ellen Nalivaika; Mohan Somasundaran; Brian A Kelch; Hiroshi Matsuo; Nese Kurt Yilmaz; Celia A Schiffer
Journal:  Sci Rep       Date:  2018-05-14       Impact factor: 4.379

9.  Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data.

Authors:  Nelly Olova; Felix Krueger; Simon Andrews; David Oxley; Rebecca V Berrens; Miguel R Branco; Wolf Reik
Journal:  Genome Biol       Date:  2018-03-15       Impact factor: 13.583

10.  Nondestructive, base-resolution sequencing of 5-hydroxymethylcytosine using a DNA deaminase.

Authors:  Emily K Schutsky; Jamie E DeNizio; Peng Hu; Monica Yun Liu; Christopher S Nabel; Emily B Fabyanic; Young Hwang; Frederic D Bushman; Hao Wu; Rahul M Kohli
Journal:  Nat Biotechnol       Date:  2018-10-08       Impact factor: 54.908

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  14 in total

1.  Whole-genome Methylation Analysis of APOBEC Enzyme-converted DNA (~5 kb) by Nanopore Sequencing.

Authors:  Suzuko Zaha; Yoshitaka Sakamoto; Satoi Nagasawa; Sumio Sugano; Ayako Suzuki; Yutaka Suzuki; Masahide Seki
Journal:  Bio Protoc       Date:  2022-03-05

Review 2.  Detection of Cell Types Contributing to Cancer From Circulating, Cell-Free Methylated DNA.

Authors:  Megan E Barefoot; Netanel Loyfer; Amber J Kiliti; A Patrick McDeed; Tommy Kaplan; Anton Wellstein
Journal:  Front Genet       Date:  2021-07-27       Impact factor: 4.772

Review 3.  Analysis and Performance Assessment of the Whole Genome Bisulfite Sequencing Data Workflow: Currently Available Tools and a Practical Guide to Advance DNA Methylation Studies.

Authors:  Ting Gong; Heather Borgard; Zao Zhang; Shaoqiu Chen; Zitong Gao; Youping Deng
Journal:  Small Methods       Date:  2022-01-22

4.  Genome-wide DNA methylation profiling and identification of potential pan-cancer and tumor-specific biomarkers.

Authors:  Joe Ibrahim; Ken Op de Beeck; Erik Fransen; Marc Peeters; Guy Van Camp
Journal:  Mol Oncol       Date:  2022-01-21       Impact factor: 7.449

5.  Whole Genome DNA Methylation Profiling of D2 Medium Spiny Neurons in Mouse Nucleus Accumbens Using Two Independent Library Preparation Methods.

Authors:  Yuxiang Li; Haiyang Xu; Javed M Chitaman; Jian Feng
Journal:  Genes (Basel)       Date:  2022-02-06       Impact factor: 4.096

Review 6.  Advances in measuring DNA methylation.

Authors:  Ruixia Sun; Ping Zhu
Journal:  Blood Sci       Date:  2021-12-06

Review 7.  Genomic Imprinting in the New Omics Era: A Model for Systems-Level Approaches.

Authors:  Jean-Noël Hubert; Julie Demars
Journal:  Front Genet       Date:  2022-03-15       Impact factor: 4.599

8.  Decoding the sorghum methylome: understanding epigenetic contributions to agronomic traits.

Authors:  Ulduz Vafadarshamasbi; Emma Mace; David Jordan; Peter A Crisp
Journal:  Biochem Soc Trans       Date:  2022-02-28       Impact factor: 4.919

9.  Experimental development of the epigenomic library construction method to elucidate the epigenetic diversity and causal relationship between epigenome and transcriptome at a single-cell level.

Authors:  Kyunghyuk Park; Min Chul Jeon; Bokyung Kim; Bukyoung Cha; Jong-Il Kim
Journal:  Genomics Inform       Date:  2022-03-31

10.  Microbial Single-Cell Analysis: What Can We Learn From Mammalian?

Authors:  Zixi Chen; Beixin Mo; Anping Lei; Jiangxin Wang
Journal:  Front Cell Dev Biol       Date:  2022-01-17
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