Literature DB >> 29224145

Methyl-CpG-Binding Domain Sequencing: MBD-seq.

Karolina A Aberg1, Robin F Chan1, Linying Xie1, Andrey A Shabalin1, Edwin J C G van den Oord2.   

Abstract

Detailed biological knowledge about the potential importance of the methylome is typically lacking for common diseases. Therefore, methylome-wide association studies (MWAS) are critical to detect disease relevant methylation sites. Methyl-CpG-binding domain sequencing (MBD-seq) offers potential advantages compared to antibody-based enrichment, but performance depends critically on using an optimal protocol. Using an optimized protocol, MBD-seq can approximate the sensitivity/specificity obtained with whole-genome bisulfite sequencing, but at a fraction of the costs and time to complete the project. Thus, MBD-seq offers a comprehensive first pass at the CpG methylome and is economically feasible with the samples sizes required for MWAS.

Entities:  

Keywords:  Affinity-based capture; Blood spots; CpG; Differentially methylated regions; High-dimensional data analysis; MBD-seq; MWAS; Methyl-CpG-binding domain; MethylMiner; Methylome-wide association studies; RaMWAS; Sequencing

Mesh:

Substances:

Year:  2018        PMID: 29224145     DOI: 10.1007/978-1-4939-7481-8_10

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  6 in total

1.  Translational Opportunities for Microfluidic Technologies to Enable Precision Epigenomics.

Authors:  Yi Xu; Steven R Doonan; Tamas Ordog; Ryan C Bailey
Journal:  Anal Chem       Date:  2020-06-04       Impact factor: 6.986

Review 2.  DNA methylation as a transcriptional regulator of the immune system.

Authors:  Luisa Morales-Nebreda; Fred S McLafferty; Benjamin D Singer
Journal:  Transl Res       Date:  2018-08-09       Impact factor: 7.012

3.  A Practical Guide to the Measurement and Analysis of DNA Methylation.

Authors:  Benjamin D Singer
Journal:  Am J Respir Cell Mol Biol       Date:  2019-10       Impact factor: 6.914

4.  A model of pulldown alignments from SssI-treated DNA improves DNA methylation prediction.

Authors:  Blythe S Moreland; Kenji M Oman; Ralf Bundschuh
Journal:  BMC Bioinformatics       Date:  2019-08-19       Impact factor: 3.169

5.  The DNA hypermethylation phenotype of colorectal cancer liver metastases resembles that of the primary colorectal cancers.

Authors:  Stephany Orjuela; Mirco Menigatti; Peter Schraml; Patryk Kambakamba; Mark D Robinson; Giancarlo Marra
Journal:  BMC Cancer       Date:  2020-04-06       Impact factor: 4.430

6.  Body weight and high-fat diet are associated with epigenetic aging in female members of the BXD murine family.

Authors:  Jose Vladimir Sandoval-Sierra; Alexandra H B Helbing; Evan G Williams; David G Ashbrook; Suheeta Roy; Robert W Williams; Khyobeni Mozhui
Journal:  Aging Cell       Date:  2020-08-12       Impact factor: 9.304

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.