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      A comparative analysis of DNA methylation across human embryonic stem cell lines

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          Abstract

          Background

          We performed a comparative analysis of the genome-wide DNA methylation profiles from three human embryonic stem cell (HESC) lines. It had previously been shown that HESC lines had significantly higher non-CG methylation than differentiated cells, and we therefore asked whether these sites were conserved across cell lines.

          Results

          We find that heavily methylated non-CG sites are strongly conserved, especially when found within the motif TACAG. They are enriched in splice sites and are more methylated than other non-CG sites in genes. We next studied the relationship between allele-specific expression and allele-specific methylation. By combining bisulfite sequencing and whole transcriptome shotgun sequencing (RNA-seq) data we identified 1,020 genes that show allele-specific expression, and 14% of CG sites genome-wide have allele-specific methylation. Finally, we asked whether the methylation state of transcription factor binding sites affects the binding of transcription factors. We identified variations in methylation levels at binding sites and found that for several transcription factors the correlation between the methylation at binding sites and gene expression is generally stronger than in the neighboring sequences.

          Conclusions

          These results suggest a possible but as yet unknown functional role for the highly methylated conserved non-CG sites in the regulation of HESCs. We also identified a novel set of genes that are likely transcriptionally regulated by methylation in an allele-specific manner. The analysis of transcription factor binding sites suggests that the methylation state of cis-regulatory elements impacts the ability of factors to bind and regulate transcription.

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          Most cited references35

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          Shotgun bisulphite sequencing of the Arabidopsis genome reveals DNA methylation patterning.

          Cytosine DNA methylation is important in regulating gene expression and in silencing transposons and other repetitive sequences. Recent genomic studies in Arabidopsis thaliana have revealed that many endogenous genes are methylated either within their promoters or within their transcribed regions, and that gene methylation is highly correlated with transcription levels. However, plants have different types of methylation controlled by different genetic pathways, and detailed information on the methylation status of each cytosine in any given genome is lacking. To this end, we generated a map at single-base-pair resolution of methylated cytosines for Arabidopsis, by combining bisulphite treatment of genomic DNA with ultra-high-throughput sequencing using the Illumina 1G Genome Analyser and Solexa sequencing technology. This approach, termed BS-Seq, unlike previous microarray-based methods, allows one to sensitively measure cytosine methylation on a genome-wide scale within specific sequence contexts. Here we describe methylation on previously inaccessible components of the genome and analyse the DNA methylation sequence composition and distribution. We also describe the effect of various DNA methylation mutants on genome-wide methylation patterns, and demonstrate that our newly developed library construction and computational methods can be applied to large genomes such as that of mouse.
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            Comparison of sequencing-based methods to profile DNA methylation and identification of monoallelic epigenetic modifications

            Sequencing-based DNA methylation profiling methods are comprehensive and, as accuracy and affordability improve, will increasingly supplant microarrays for genome-scale analyses. Here, four sequencing-based methodologies were applied to biological replicates of human embryonic stem cells to compare their CpG coverage genome-wide and in transposons, resolution, cost, concordance and its relationship with CpG density and genomic context. The two bisulfite methods reached concordance of 82% for CpG methylation levels and 99% for non-CpG cytosine methylation levels. Using binary methylation calls, two enrichment methods were 99% concordant, while regions assessed by all four methods were 97% concordant. To achieve comprehensive methylome coverage while reducing cost, an approach integrating two complementary methods was examined. The integrative methylome profile along with histone methylation, RNA, and SNP profiles derived from the sequence reads allowed genome-wide assessment of allele-specific epigenetic states, identifying most known imprinted regions and new loci with monoallelic epigenetic marks and monoallelic expression.
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              Gene body-specific methylation on the active X chromosome.

              Differential DNA methylation is important for the epigenetic regulation of gene expression. Allele-specific methylation of the inactive X chromosome has been demonstrated at promoter CpG islands, but the overall pattern of methylation on the active X(Xa) and inactive X (Xi) chromosomes is unknown. We performed allele-specific analysis of more than 1000 informative loci along the human X chromosome. The Xa displays more than two times as much allele-specific methylation as Xi. This methylation is concentrated at gene bodies, affecting multiple neighboring CpGs. Before X inactivation, all of these Xa gene body-methylated sites are biallelically methylated. Thus, a bipartite methylation-demethylation program results in Xa-specific hypomethylation at gene promoters and hypermethylation at gene bodies. These results suggest a relationship between global methylation and expression potentiality.
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                Author and article information

                Journal
                Genome Biol
                Genome Biol
                Genome Biology
                BioMed Central
                1465-6906
                1465-6914
                2011
                6 July 2011
                : 12
                : 7
                : R62
                Affiliations
                [1 ]Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, CA 90095, USA
                [2 ]Institute of Genomics and Proteomics, University of California, Los Angeles, CA 90095, USA
                [3 ]Interdepartmental Program in Bioinformatics, University of California Los Angeles, Los Angeles, CA 90095, USA
                [4 ]Howard Hughes Medical Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
                [5 ]Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA 90095, USA
                [6 ]Molecular Biology Institute, University of California, Los Angeles, CA 90095, USA
                Article
                gb-2011-12-7-r62
                10.1186/gb-2011-12-7-r62
                3218824
                21733148
                56e73b47-3892-4715-aa7f-8aaf43cb1e56
                Copyright ©2011 Chen et al.; licensee BioMed Central Ltd.

                This is an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 March 2011
                : 10 May 2011
                : 6 July 2011
                Categories
                Research

                Genetics
                Genetics

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