Normal histone modifications on the inactive X chromosome in ICF and Rett syndrome cells: implications for methyl-CpG binding proteins

BMC Biology
S M GartlerR S Hansen

Abstract

In mammals, there is evidence suggesting that methyl-CpG binding proteins may play a significant role in histone modification through their association with modification complexes that can deacetylate and/or methylate nucleosomes in the proximity of methylated DNA. We examined this idea for the X chromosome by studying histone modifications on the X chromosome in normal cells and in cells from patients with ICF syndrome (Immune deficiency, Centromeric region instability, and Facial anomalies syndrome). In normal cells the inactive X has characteristic silencing type histone modification patterns and the CpG islands of genes subject to X inactivation are hypermethylated. In ICF cells, however, genes subject to X inactivation are hypomethylated on the inactive X due to mutations in the DNA methyltransferase (DNMT3B) genes. Therefore, if DNA methylation is upstream of histone modification, the histones on the inactive X in ICF cells should not be modified to a silent form. In addition, we determined whether a specific methyl-CpG binding protein, MeCP2, is necessary for the inactive X histone modification pattern by studying Rett syndrome cells which are deficient in MeCP2 function. We show here that the inactive X in ICF cells, wh...Continue Reading

References

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Citations

May 3, 2013·Mammalian Genome : Official Journal of the International Mammalian Genome Society·Neil A YoungsonEmma Whitelaw
Aug 26, 2006·Nature Clinical Practice. Neurology·Uta Francke
May 18, 2010·Epigenomics·Janine M LaSalle, Dag H Yasui
Mar 26, 2005·Current Opinion in Neurology·Masaya Segawa, Yoshiko Nomura
Nov 30, 2006·Journal of Cellular Physiology·M R MatarazzoM D'Esposito
Jul 28, 2009·European Journal of Medical Genetics·Albertina De Sario

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Methods Mentioned

BETA
acetylation
immunoprecipitation
ChIP
pull-down
derive
from
''
PCR
electrophoresis

Software Mentioned

GeneScan

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