Literature DB >> 20430099

Whole genome DNA methylation analysis based on high throughput sequencing technology.

Ning Li1, Mingzhi Ye, Yingrui Li, Zhixiang Yan, Lee M Butcher, Jihua Sun, Xu Han, Quan Chen, Xiuqing Zhang, Jun Wang.   

Abstract

There are numerous approaches to decipher a whole genome DNA methylation profile ("methylome"), each varying in cost, throughput and resolution. The gold standard of these methods, whole genome bisulfite-sequencing (BS-seq), involves treatment of DNA with sodium bisulfite combined with subsequent high throughput sequencing. Using BS-seq, we generated a single-base-resolution methylome in human peripheral blood mononuclear cells (in press). This BS-seq map was then used as the reference methylome to compare two alternative sequencing-based methylome assays (performed on the same donor of PBMCs): methylated DNA immunoprecipitation (MeDIP-seq) and methyl-binding protein (MBD-seq). In our analysis, we found that MeDIP-seq and MBD-seq are complementary strategies, with MeDIP-seq more sensitive to highly methylated, high-CpG densities and MDB-seq more sensitive to highly methylated, moderate-CpG densities. Taking into account the size of a mammalian genome and the current expense of sequencing, we feel 3gigabases (Gbp) 45bp paired-end MeDIP-seq or MBD-seq uniquely mapped reads is the minimum requirement and cost-effective strategy for methylome pattern analysis.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20430099     DOI: 10.1016/j.ymeth.2010.04.009

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  80 in total

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Journal:  J Mol Cell Biol       Date:  2015-06-15       Impact factor: 6.216

5.  Protocol matters: which methylome are you actually studying?

Authors:  Mark D Robinson; Aaron L Statham; Terence P Speed; Susan J Clark
Journal:  Epigenomics       Date:  2010-08       Impact factor: 4.778

6.  Personal genomic information management and personalized medicine: challenges, current solutions, and roles of HIM professionals.

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9.  Obesity is associated with depot-specific alterations in adipocyte DNA methylation and gene expression.

Authors:  Si Brask Sonne; Rachita Yadav; Guangliang Yin; Marlene Danner Dalgaard; Lene Secher Myrmel; Ramneek Gupta; Jun Wang; Lise Madsen; Shingo Kajimura; Karsten Kristiansen
Journal:  Adipocyte       Date:  2017-04-18       Impact factor: 4.534

10.  Human ESC/iPSC-based "Omics" and Bioinformatics for Translational Research.

Authors:  Gerd Müller; Kirill V Tarasov; Rebekah L Gundry; Kenneth R Boheler
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