Literature DB >> 22402632

Methylome analysis using MeDIP-seq with low DNA concentrations.

Oluwatosin Taiwo1, Gareth A Wilson, Tiffany Morris, Stefanie Seisenberger, Wolf Reik, Daniel Pearce, Stephan Beck, Lee M Butcher.   

Abstract

DNA methylation is an epigenetic mark that has a crucial role in many biological processes. To understand the functional consequences of DNA methylation on phenotypic plasticity, a genome-wide analysis should be embraced. This in turn requires a technique that balances accuracy, genome coverage, resolution and cost, yet is low in DNA input in order to minimize the drain on precious samples. Methylated DNA immunoprecipitation-sequencing (MeDIP-seq) fulfils these criteria, combining MeDIP with massively parallel DNA sequencing. Here we report an improved protocol using 100-fold less genomic DNA than that commonly used. We show comparable results for specificity (>97%) and enrichment (>100-fold) over a wide range of DNA concentrations (5,000-50 ng) and demonstrate the utility of the protocol for the generation of methylomes from rare bone marrow cells using 160-300 ng of starting DNA. The protocol described here, i.e., DNA extraction to generation of MeDIP-seq library, can be completed within 3-5 d.

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Year:  2012        PMID: 22402632     DOI: 10.1038/nprot.2012.012

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  31 in total

1.  Whole-genome DNA methylation profiling using MethylCap-seq.

Authors:  Arie B Brinkman; Femke Simmer; Kelong Ma; Anita Kaan; Jingde Zhu; Hendrik G Stunnenberg
Journal:  Methods       Date:  2010-06-11       Impact factor: 3.608

2.  Taking the measure of the methylome.

Authors:  Stephan Beck
Journal:  Nat Biotechnol       Date:  2010-10       Impact factor: 54.908

3.  AutoMeDIP-seq: a high-throughput, whole genome, DNA methylation assay.

Authors:  Lee M Butcher; Stephan Beck
Journal:  Methods       Date:  2010-04-10       Impact factor: 3.608

4.  A Bayesian deconvolution strategy for immunoprecipitation-based DNA methylome analysis.

Authors:  Thomas A Down; Vardhman K Rakyan; Daniel J Turner; Paul Flicek; Heng Li; Eugene Kulesha; Stefan Gräf; Nathan Johnson; Javier Herrero; Eleni M Tomazou; Natalie P Thorne; Liselotte Bäckdahl; Marlis Herberth; Kevin L Howe; David K Jackson; Marcos M Miretti; John C Marioni; Ewan Birney; Tim J P Hubbard; Richard Durbin; Simon Tavaré; Stephan Beck
Journal:  Nat Biotechnol       Date:  2008-07       Impact factor: 54.908

Review 5.  The methylome: approaches for global DNA methylation profiling.

Authors:  Stephan Beck; Vardhman K Rakyan
Journal:  Trends Genet       Date:  2008-03-05       Impact factor: 11.639

6.  Hotspots of aberrant epigenomic reprogramming in human induced pluripotent stem cells.

Authors:  Ryan Lister; Mattia Pelizzola; Yasuyuki S Kida; R David Hawkins; Joseph R Nery; Gary Hon; Jessica Antosiewicz-Bourget; Ronan O'Malley; Rosa Castanon; Sarit Klugman; Michael Downes; Ruth Yu; Ron Stewart; Bing Ren; James A Thomson; Ronald M Evans; Joseph R Ecker
Journal:  Nature       Date:  2011-02-02       Impact factor: 49.962

7.  Comparison of sequencing-based methods to profile DNA methylation and identification of monoallelic epigenetic modifications.

Authors:  R Alan Harris; Ting Wang; Cristian Coarfa; Raman P Nagarajan; Chibo Hong; Sara L Downey; Brett E Johnson; Shaun D Fouse; Allen Delaney; Yongjun Zhao; Adam Olshen; Tracy Ballinger; Xin Zhou; Kevin J Forsberg; Junchen Gu; Lorigail Echipare; Henriette O'Geen; Ryan Lister; Mattia Pelizzola; Yuanxin Xi; Charles B Epstein; Bradley E Bernstein; R David Hawkins; Bing Ren; Wen-Yu Chung; Hongcang Gu; Christoph Bock; Andreas Gnirke; Michael Q Zhang; David Haussler; Joseph R Ecker; Wei Li; Peggy J Farnham; Robert A Waterland; Alexander Meissner; Marco A Marra; Martin Hirst; Aleksandar Milosavljevic; Joseph F Costello
Journal:  Nat Biotechnol       Date:  2010-09-19       Impact factor: 54.908

8.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

9.  MBD-isolated Genome Sequencing provides a high-throughput and comprehensive survey of DNA methylation in the human genome.

Authors:  David Serre; Byron H Lee; Angela H Ting
Journal:  Nucleic Acids Res       Date:  2009-11-11       Impact factor: 16.971

10.  Tet proteins can convert 5-methylcytosine to 5-formylcytosine and 5-carboxylcytosine.

Authors:  Shinsuke Ito; Li Shen; Qing Dai; Susan C Wu; Leonard B Collins; James A Swenberg; Chuan He; Yi Zhang
Journal:  Science       Date:  2011-07-21       Impact factor: 47.728

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  117 in total

Review 1.  Statistical methods for detecting differentially methylated regions based on MethylCap-seq data.

Authors:  Deepak N Ayyala; David E Frankhouser; Javkhlan-Ochir Ganbat; Guido Marcucci; Ralf Bundschuh; Pearlly Yan; Shili Lin
Journal:  Brief Bioinform       Date:  2015-10-09       Impact factor: 11.622

Review 2.  Advances in the profiling of DNA modifications: cytosine methylation and beyond.

Authors:  Nongluk Plongthongkum; Dinh H Diep; Kun Zhang
Journal:  Nat Rev Genet       Date:  2014-08-27       Impact factor: 53.242

3.  Tagmentation-based whole-genome bisulfite sequencing.

Authors:  Qi Wang; Lei Gu; Andrew Adey; Bernhard Radlwimmer; Wei Wang; Volker Hovestadt; Marion Bähr; Stephan Wolf; Jay Shendure; Roland Eils; Christoph Plass; Dieter Weichenhan
Journal:  Nat Protoc       Date:  2013-09-26       Impact factor: 13.491

4.  Systems biology approaches to epidemiological studies of complex diseases.

Authors:  Hongzhe Li
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-09-09

Review 5.  A survey of the approaches for identifying differential methylation using bisulfite sequencing data.

Authors:  Adib Shafi; Cristina Mitrea; Tin Nguyen; Sorin Draghici
Journal:  Brief Bioinform       Date:  2018-09-28       Impact factor: 11.622

Review 6.  Approaches for the study of epigenetic modifications in the inner ear and related tissues.

Authors:  Bradley J Walters; Brandon C Cox
Journal:  Hear Res       Date:  2019-01-12       Impact factor: 3.208

Review 7.  Sequencing in High Definition Drives a Changing Worldview of the Epigenome.

Authors:  Emily Hodges
Journal:  Cold Spring Harb Perspect Med       Date:  2019-06-03       Impact factor: 6.915

Review 8.  Deciphering the epigenetic code: an overview of DNA methylation analysis methods.

Authors:  Muhammad Umer; Zdenko Herceg
Journal:  Antioxid Redox Signal       Date:  2013-01-22       Impact factor: 8.401

9.  DNA methylation dynamics underlie metamorphic gene regulation programs in Xenopus tadpole brain.

Authors:  Yasuhiro Kyono; Samhitha Raj; Christopher J Sifuentes; Nicolas Buisine; Laurent Sachs; Robert J Denver
Journal:  Dev Biol       Date:  2020-03-31       Impact factor: 3.582

Review 10.  CG methylation.

Authors:  Charles Vinson; Raghunath Chatterjee
Journal:  Epigenomics       Date:  2012-12       Impact factor: 4.778

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