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Binding of MBD proteins to DNA blocks Tet1 function thereby modulating transcriptional noise

Overview of attention for article published in Nucleic Acids Research, December 2016
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Title
Binding of MBD proteins to DNA blocks Tet1 function thereby modulating transcriptional noise
Published in
Nucleic Acids Research, December 2016
DOI 10.1093/nar/gkw1197
Pubmed ID
Authors

Anne K. Ludwig, Peng Zhang, Florian D. Hastert, Stephanie Meyer, Cathia Rausch, Henry D. Herce, Udo Müller, Anne Lehmkuhl, Ines Hellmann, Carina Trummer, Christian Storm, Heinrich Leonhardt, M. Cristina Cardoso

Abstract

Aberrant DNA methylation is a hallmark of various human disorders, indicating that the spatial and temporal regulation of methylation readers and modifiers is imperative for development and differentiation. In particular, the cross-regulation between 5-methylcytosine binders (MBD) and modifiers (Tet) has not been investigated. Here, we show that binding of Mecp2 and Mbd2 to DNA protects 5-methylcytosine from Tet1-mediated oxidation. The mechanism is not based on competition for 5-methylcytosine binding but on Mecp2 and Mbd2 directly restricting Tet1 access to DNA. We demonstrate that the efficiency of this process depends on the number of bound MBDs per DNA molecule. Accordingly, we find 5-hydroxymethylcytosine enriched at heterochromatin of Mecp2-deficient neurons of a mouse model for Rett syndrome and Tet1-induced reexpression of silenced major satellite repeats. These data unveil fundamental regulatory mechanisms of Tet enzymes and their potential pathophysiological role in Rett syndrome. Importantly, it suggests that Mecp2 and Mbd2 have an essential physiological role as guardians of the epigenome.

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Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Italy 1 1%
Unknown 86 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 29%
Researcher 10 11%
Student > Doctoral Student 9 10%
Student > Bachelor 8 9%
Student > Master 6 7%
Other 15 17%
Unknown 15 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 31%
Agricultural and Biological Sciences 21 24%
Neuroscience 6 7%
Medicine and Dentistry 4 4%
Immunology and Microbiology 2 2%
Other 14 16%
Unknown 14 16%