Literature DB >> 28002732

Methyl-CpG/MBD2 Interaction Requires Minimum Separation and Exhibits Minimal Sequence Specificity.

Blythe Moreland1, Kenji Oman1, John Curfman2, Pearlly Yan2, Ralf Bundschuh3.   

Abstract

Determining the pattern of methylation at CpG dinucleotides in a cell remains an essential component of epigenetic profiling. The correlations among methylation, gene expression, and accompanying disease have just begun to be explored. Many experiments for sensing methylation use a relatively inexpensive, high-throughput approach with a methyl-binding domain (MBD) protein that preferentially binds to methylated CpGs. Here, we characterize the cooperativity and sequence specificity of MBD2-DNA binding in a pulldown experiment revealing three potential biases in such experiments. The first is caused by steric clashes between two MBD2 proteins at mCpGs separated by 2 bp or less, which suggests that simultaneous binding at these sites is inhibited. This is confirmed by comparing input versus pulldown high-throughput sequencing data on M.SssI-treated samples, from which we also find that pulldown efficiency sharply increases for DNA fragments with four or more mCpGs. Analysis of these two data sets was again employed to investigate MBD2's sequence preferences surrounding a methylated CpG (mCpG). In comparing the distributions of bases at positions with respect to an mCpG, statistically significant preferences for certain bases were found, although the corresponding biases in pulldown efficiency were all <5%. While this suggests that mCpG sequence context can mostly be ignored in MBD2 binding, the statistical certainty exhibited by our high-throughput approach bodes well for future applications.
Copyright © 2016 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 28002732      PMCID: PMC5192688          DOI: 10.1016/j.bpj.2016.11.014

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  27 in total

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Journal:  Genome Res       Date:  2010-11-02       Impact factor: 9.043

2.  DNA binding selectivity of MeCP2 due to a requirement for A/T sequences adjacent to methyl-CpG.

Authors:  Robert J Klose; Shireen A Sarraf; Lars Schmiedeberg; Suzanne M McDermott; Irina Stancheva; Adrian P Bird
Journal:  Mol Cell       Date:  2005-09-02       Impact factor: 17.970

3.  The affinity of different MBD proteins for a specific methylated locus depends on their intrinsic binding properties.

Authors:  Mario F Fraga; Esteban Ballestar; Guillermo Montoya; Panya Taysavang; Paul A Wade; Manel Esteller
Journal:  Nucleic Acids Res       Date:  2003-03-15       Impact factor: 16.971

Review 4.  Origins of aberrant DNA methylation in acute myeloid leukemia.

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Journal:  Leukemia       Date:  2013-08-20       Impact factor: 11.528

Review 5.  The fundamental role of epigenetic events in cancer.

Authors:  Peter A Jones; Stephen B Baylin
Journal:  Nat Rev Genet       Date:  2002-06       Impact factor: 53.242

6.  A Scalable, Flexible Workflow for MethylCap-Seq Data Analysis.

Authors:  Benjamin Rodriguez; Hok-Hei Tam; David Frankhouser; Michael Trimarchi; Mark Murphy; Chris Kuo; Deval Parikh; Bryan Ball; Sebastian Schwind; John Curfman; William Blum; Guido Marcucci; Pearlly Yan; Ralf Bundschuh
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7.  Recognition and potential mechanisms for replication and erasure of cytosine hydroxymethylation.

Authors:  Hideharu Hashimoto; Yiwei Liu; Anup K Upadhyay; Yanqi Chang; Shelley B Howerton; Paula M Vertino; Xing Zhang; Xiaodong Cheng
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8.  Recognition of methylated DNA through methyl-CpG binding domain proteins.

Authors:  Xueqing Zou; Wen Ma; Ilia A Solov'yov; Christophe Chipot; Klaus Schulten
Journal:  Nucleic Acids Res       Date:  2011-11-22       Impact factor: 16.971

9.  Base-resolution detection of N4-methylcytosine in genomic DNA using 4mC-Tet-assisted-bisulfite- sequencing.

Authors:  Miao Yu; Lexiang Ji; Drexel A Neumann; Dae-Hwan Chung; Joseph Groom; Janet Westpheling; Chuan He; Robert J Schmitz
Journal:  Nucleic Acids Res       Date:  2015-07-15       Impact factor: 16.971

10.  Tobacco smoking leads to extensive genome-wide changes in DNA methylation.

Authors:  Sonja Zeilinger; Brigitte Kühnel; Norman Klopp; Hansjörg Baurecht; Anja Kleinschmidt; Christian Gieger; Stephan Weidinger; Eva Lattka; Jerzy Adamski; Annette Peters; Konstantin Strauch; Melanie Waldenberger; Thomas Illig
Journal:  PLoS One       Date:  2013-05-17       Impact factor: 3.240

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  4 in total

1.  MBD-seq - realities of a misunderstood method for high-quality methylome-wide association studies.

Authors:  Karolina A Aberg; Robin F Chan; Edwin J C G van den Oord
Journal:  Epigenetics       Date:  2019-11-25       Impact factor: 4.528

2.  A methylation study of long-term depression risk.

Authors:  Shaunna L Clark; Mohammad W Hattab; Robin F Chan; Andrey A Shabalin; Laura K M Han; Min Zhao; Johannes H Smit; Rick Jansen; Yuri Milaneschi; Lin Ying Xie; Gerard van Grootheest; Brenda W J H Penninx; Karolina A Aberg; Edwin J C G van den Oord
Journal:  Mol Psychiatry       Date:  2019-09-09       Impact factor: 15.992

3.  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

4.  Density Control over MBD2 Receptor-Coated Surfaces Provides Superselective Binding of Hypermethylated DNA.

Authors:  Ruben W Kolkman; Sandra Michel-Souzy; Dorothee Wasserberg; Loes I Segerink; Jurriaan Huskens
Journal:  ACS Appl Mater Interfaces       Date:  2022-09-01       Impact factor: 10.383

  4 in total

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