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      Smchd1-Dependent and -Independent Pathways Determine Developmental Dynamics of CpG Island Methylation on the Inactive X Chromosome

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          Summary

          X chromosome inactivation involves multiple levels of chromatin modification, established progressively and in a stepwise manner during early development. The chromosomal protein Smchd1 was recently shown to play an important role in DNA methylation of CpG islands (CGIs), a late step in the X inactivation pathway that is required for long-term maintenance of gene silencing. Here we show that inactive X chromosome (Xi) CGI methylation can occur via either Smchd1-dependent or -independent pathways. Smchd1-dependent CGI methylation, the primary pathway, is acquired gradually over an extended period, whereas Smchd1-independent CGI methylation occurs rapidly after the onset of X inactivation. The de novo methyltransferase Dnmt3b is required for methylation of both classes of CGI, whereas Dnmt3a and Dnmt3L are dispensable. Xi CGIs methylated by these distinct pathways differ with respect to their sequence characteristics and immediate chromosomal environment. We discuss the implications of these results for understanding CGI methylation during development.

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          Highlights

          ► Xi CGIs exhibit either fast or slow DNA methylation kinetics ► Xi CGI methylation requires Dnmt3b but not Dnmt3a or Dnmt3L ► Recruitment of the chromosomal protein Smchd1 is a late step in X inactivation ► Slow, but not fast, Xi CGI methylation requires the chromosomal protein Smchd1

          Abstract

          What mechanisms contribute to developmental gene regulation and long-term silencing? Gendrel et al. uncover on the inactive X chromosome parallel pathways of slow and fast CpG-island methylation kinetics associated with different chromosomal contexts. Only slow methylation needs the chromosomal protein Smchd1, but both pathways require the de novo methyltransferase Dnmt3b.

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          Most cited references52

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          The generic genome browser: a building block for a model organism system database.

          The Generic Model Organism System Database Project (GMOD) seeks to develop reusable software components for model organism system databases. In this paper we describe the Generic Genome Browser (GBrowse), a Web-based application for displaying genomic annotations and other features. For the end user, features of the browser include the ability to scroll and zoom through arbitrary regions of a genome, to enter a region of the genome by searching for a landmark or performing a full text search of all features, and the ability to enable and disable tracks and change their relative order and appearance. The user can upload private annotations to view them in the context of the public ones, and publish those annotations to the community. For the data provider, features of the browser software include reliance on readily available open source components, simple installation, flexible configuration, and easy integration with other components of a model organism system Web site. GBrowse is freely available under an open source license. The software, its documentation, and support are available at http://www.gmod.org.
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            Chromosome-wide and promoter-specific analyses identify sites of differential DNA methylation in normal and transformed human cells.

            Cytosine methylation is required for mammalian development and is often perturbed in human cancer. To determine how this epigenetic modification is distributed in the genomes of primary and transformed cells, we used an immunocapturing approach followed by DNA microarray analysis to generate methylation profiles of all human chromosomes at 80-kb resolution and for a large set of CpG islands. In primary cells we identified broad genomic regions of differential methylation with higher levels in gene-rich neighborhoods. Female and male cells had indistinguishable profiles for autosomes but differences on the X chromosome. The inactive X chromosome (Xi) was hypermethylated at only a subset of gene-rich regions and, unexpectedly, overall hypomethylated relative to its active counterpart. The chromosomal methylation profile of transformed cells was similar to that of primary cells. Nevertheless, we detected large genomic segments with hypomethylation in the transformed cell residing in gene-poor areas. Furthermore, analysis of 6,000 CpG islands showed that only a small set of promoters was methylated differentially, suggesting that aberrant methylation of CpG island promoters in malignancy might be less frequent than previously hypothesized.
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              DNMT3L connects unmethylated lysine 4 of histone H3 to de novo methylation of DNA.

              Mammals use DNA methylation for the heritable silencing of retrotransposons and imprinted genes and for the inactivation of the X chromosome in females. The establishment of patterns of DNA methylation during gametogenesis depends in part on DNMT3L, an enzymatically inactive regulatory factor that is related in sequence to the DNA methyltransferases DNMT3A and DNMT3B. The main proteins that interact in vivo with the product of an epitope-tagged allele of the endogenous Dnmt3L gene were identified by mass spectrometry as DNMT3A2, DNMT3B and the four core histones. Peptide interaction assays showed that DNMT3L specifically interacts with the extreme amino terminus of histone H3; this interaction was strongly inhibited by methylation at lysine 4 of histone H3 but was insensitive to modifications at other positions. Crystallographic studies of human DNMT3L showed that the protein has a carboxy-terminal methyltransferase-like domain and an N-terminal cysteine-rich domain. Cocrystallization of DNMT3L with the tail of histone H3 revealed that the tail bound to the cysteine-rich domain of DNMT3L, and substitution of key residues in the binding site eliminated the H3 tail-DNMT3L interaction. These data indicate that DNMT3L recognizes histone H3 tails that are unmethylated at lysine 4 and induces de novo DNA methylation by recruitment or activation of DNMT3A2.
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                Author and article information

                Journal
                Dev Cell
                Dev. Cell
                Developmental Cell
                Cell Press
                1534-5807
                1878-1551
                14 August 2012
                14 August 2012
                : 23
                : 2
                : 265-279
                Affiliations
                [1 ]Department of Biochemistry, University of Oxford, Oxford OX1 2JD, UK
                [2 ]Computational Biology Research Group, University of Oxford, Oxford OX1 2JD, UK
                [3 ]MRC Clinical Sciences Centre, Faculty of Medicine ICSTM, Hammersmith Hospital, Du Cane Road, London W12 0HS, UK
                [4 ]Wellcome Trust Centre for Cell Biology, University of Edinburgh, Michael Swann Building, Mayfield Road, Edinburgh EH9 3JR, UK
                [5 ]Centre for Bioinformatics, Imperial College London, London SW7 2AZ, UK
                [6 ]Department of Mathematics, Imperial College London, London SW7 2AZ, UK
                [7 ]Genetics and Developmental Biology Unit, Institut Curie, CNRS UMR3215, INSERM U934, 75005 Paris, France
                Author notes
                []Corresponding author neil.brockdorff@ 123456bioch.ox.ac.uk
                [8]

                These authors contributed equally to this work

                [9]

                Present address: University of Cambridge School of Clinical Medicine, Addenbrooke’s Hospital, Box 111, Hills Road, Cambridge CB2 0QQ, UK

                [10]

                Present address: European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1RQ, UK

                Article
                DEVCEL2459
                10.1016/j.devcel.2012.06.011
                3437444
                22841499
                c68ac0e5-2c5a-4270-bc2e-720cf8571667
                © 2012 ELL & Excerpta Medica.

                This document may be redistributed and reused, subject to certain conditions.

                History
                : 28 June 2010
                : 12 April 2012
                : 20 June 2012
                Categories
                Article

                Developmental biology
                Developmental biology

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