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      Targeted and genome-scale methylomics reveals gene body signatures in human cell lines

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          Abstract

          Cytosine methylation, an epigenetic modification of DNA, is a target of growing interest for developing high throughput profiling technologies. Here we introduce two new, complementary techniques for cytosine methylation profiling utilizing next generation sequencing technology: bisulfite padlock probes (BSPPs) and methyl sensitive cut counting (MSCC). In the first method, we designed a set of ~10,000 BSPPs distributed over the ENCODE pilot project regions to take advantage of existing expression and chromatin immunoprecipitation data. We observed a pattern of low promoter methylation coupled with high gene body methylation in highly expressed genes. Using the second method, MSCC, we gathered genome-scale data for 1.4 million HpaII sites and confirmed that gene body methylation in highly expressed genes is a consistent phenomenon over the entire genome. Our observations highlight the usefulness of techniques which are not inherently or intentionally biased in favor of only profiling particular subsets like CpG islands or promoter regions.

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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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            High-resolution profiling of histone methylations in the human genome.

            Histone modifications are implicated in influencing gene expression. We have generated high-resolution maps for the genome-wide distribution of 20 histone lysine and arginine methylations as well as histone variant H2A.Z, RNA polymerase II, and the insulator binding protein CTCF across the human genome using the Solexa 1G sequencing technology. Typical patterns of histone methylations exhibited at promoters, insulators, enhancers, and transcribed regions are identified. The monomethylations of H3K27, H3K9, H4K20, H3K79, and H2BK5 are all linked to gene activation, whereas trimethylations of H3K27, H3K9, and H3K79 are linked to repression. H2A.Z associates with functional regulatory elements, and CTCF marks boundaries of histone methylation domains. Chromosome banding patterns are correlated with unique patterns of histone modifications. Chromosome breakpoints detected in T cell cancers frequently reside in chromatin regions associated with H3K4 methylations. Our data provide new insights into the function of histone methylation and chromatin organization in genome function.
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              The history of cancer epigenetics.

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                Author and article information

                Journal
                9604648
                20305
                Nat Biotechnol
                Nat. Biotechnol.
                Nature biotechnology
                1087-0156
                1546-1696
                16 October 2012
                29 March 2009
                April 2009
                07 February 2013
                : 27
                : 4
                : 361-368
                Affiliations
                [1 ]Department of Genetics, Harvard Medical School
                [2 ]Broad Institute of MIT and Harvard, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, USA
                [3 ]Center for the Study of Biological Complexity, Virginia Commonwealth University, 1000 W. Cary St. Richmond, Virginia 23284, USA
                [4 ]Genomics Solution Unit, Agilent Technologies Inc., 5301 Stevens Creek Blvd., Santa Clara, California 95051, USA
                [5 ]Department of Medicine, Division of Pediatric Hematology Oncology, Children's Hospital Boston, and Dana-Farber Cancer Institute; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Karp Family Research Building 7214, 300 Longwood Avenue, Boston, Massachusetts 02115, USA
                Author notes
                Correspondence to: George M. Church ( gmc@ 123456harvard.edu ) or Jin Billy Li ( jli@ 123456genetics.med.harvard.edu ), Mailing address: 77 Avenue Louis Pasteur, New Research Building, Room 238, Boston, MA 02115, USA, Phone: 617-432-7562 (G.M.C.) or 617-432-6516 (J.B.L.), Fax: 617-432-6513
                [6]

                These authors contributed equally to this work.

                Article
                NIHMS103254
                10.1038/nbt.1533
                3566772
                19329998
                03bfc7d3-b7cf-4ba5-85da-ef584205bff4
                History
                Funding
                Funded by: National Human Genome Research Institute : NHGRI
                Award ID: P50 HG005550 || HG
                Categories
                Article

                Biotechnology
                Biotechnology

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