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      The accessible chromatin landscape of the human genome

      research-article
      1 , 1 , 1 , 1 , 1 , 1 , 2 , 1 , 1 , 1 , 3 , 1 , 1 , 1 , 1 , 1 , 4 , 4 , 1 , 4 , 1 , 4 , 1 , 5 , 6 , 1 , 2 , 4 , 1 , 1 , 4 , 1 , 1 , 2 , 4 , 5 , 1 , 7 , 2 , 1 , 1 , 7 , 7 , 8 , 3 , 9 , 4 , 4 , 4 , 6 , 7 , 10 , 1 , 1 , 4 , 7 , 5 , 2 , 1 , 11
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          Abstract

          DNaseI hypersensitive sites (DHSs) are markers of regulatory DNA and have underpinned the discovery of all classes of cis-regulatory elements including enhancers, promoters, insulators, silencers, and locus control regions. Here we present the first extensive map of human DHSs identified through genome-wide profiling in 125 diverse cell and tissue types. We identify ~2.9 million DHSs that encompass virtually all known experimentally-validated cis-regulatory sequences and expose a vast trove of novel elements, most with highly cell-selective regulation. Annotating these elements using ENCODE data reveals novel relationships between chromatin accessibility, transcription, DNA methylation, and regulatory factor occupancy patterns. We connect ~580,000 distal DHSs with their target promoters, revealing systematic pairing of different classes of distal DHSs and specific promoter types. Patterning of chromatin accessibility at many regulatory regions is choreographed with dozens to hundreds of co-activated elements, and the trans-cellular DNaseI sensitivity pattern at a given region can predict cell type-specific functional behaviors. The DHS landscape shows signatures of recent functional evolutionary constraint. However, the DHS compartment in pluripotent and immortalized cells exhibits higher mutation rates than that in highly differentiated cells, exposing an unexpected link between chromatin accessibility, proliferative potential and patterns of human variation.

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          High-resolution mapping and characterization of open chromatin across the genome.

          Mapping DNase I hypersensitive (HS) sites is an accurate method of identifying the location of genetic regulatory elements, including promoters, enhancers, silencers, insulators, and locus control regions. We employed high-throughput sequencing and whole-genome tiled array strategies to identify DNase I HS sites within human primary CD4+ T cells. Combining these two technologies, we have created a comprehensive and accurate genome-wide open chromatin map. Surprisingly, only 16%-21% of the identified 94,925 DNase I HS sites are found in promoters or first exons of known genes, but nearly half of the most open sites are in these regions. In conjunction with expression, motif, and chromatin immunoprecipitation data, we find evidence of cell-type-specific characteristics, including the ability to identify transcription start sites and locations of different chromatin marks utilized in these cells. In addition, and unexpectedly, our analyses have uncovered detailed features of nucleosome structure.
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            Chromosome Conformation Capture Carbon Copy (5C): a massively parallel solution for mapping interactions between genomic elements.

            Physical interactions between genetic elements located throughout the genome play important roles in gene regulation and can be identified with the Chromosome Conformation Capture (3C) methodology. 3C converts physical chromatin interactions into specific ligation products, which are quantified individually by PCR. Here we present a high-throughput 3C approach, 3C-Carbon Copy (5C), that employs microarrays or quantitative DNA sequencing using 454-technology as detection methods. We applied 5C to analyze a 400-kb region containing the human beta-globin locus and a 100-kb conserved gene desert region. We validated 5C by detection of several previously identified looping interactions in the beta-globin locus. We also identified a new looping interaction in K562 cells between the beta-globin Locus Control Region and the gamma-beta-globin intergenic region. Interestingly, this region has been implicated in the control of developmental globin gene switching. 5C should be widely applicable for large-scale mapping of cis- and trans- interaction networks of genomic elements and for the study of higher-order chromosome structure.
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              An expansive human regulatory lexicon encoded in transcription factor footprints

              Regulatory factor binding to genomic DNA protects the underlying sequence from cleavage by DNaseI, leaving nucleotide-resolution footprints. Using genomic DNaseI footprinting across 41 diverse cell and tissue types, we detected 45 million factor occupancy events within regulatory regions, representing differential binding to 8.4 million distinct short sequence elements. Here we show that this small genomic sequence compartment, roughly twice the size of the exome, encodes an expansive repertoire of conserved recognition sequences for DNA-binding proteins that nearly doubles the size of the human cis-regulatory lexicon. We find that genetic variants affecting allelic chromatin states are concentrated in footprints, and that these elements are preferentially sheltered from DNA methylation. High-resolution DNaseI cleavage patterns mirror nucleotide-level evolutionary conservation and track the crystallographic topography of protein-DNA interfaces, indicating that transcription factor structure has been evolutionarily imprinted on the human genome sequence. We identify a stereotyped 50 base-pair footprint that precisely defines the site of transcript origination within thousands of human promoters. Finally, we describe a large collection of novel regulatory factor recognition motifs that are highly conserved in both sequence and function, and exhibit cell-selective occupancy patterns that closely parallel major regulators of development, differentiation, and pluripotency.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                28 June 2013
                6 September 2012
                24 July 2013
                : 489
                : 7414
                : 75-82
                Affiliations
                [1 ]Department of Genome Sciences, University of Washington, Seattle, WA
                [2 ]Institute for Genome Sciences and Policy, Duke University, Durham, NC
                [3 ]Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA
                [4 ]Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA
                [5 ]Program in Gene Function, University of Massachusetts Medical School, Worcester, MA
                [6 ]Institute for Cellular and Molecular Biology, University of Texas, Austin, TX
                [7 ]Department of Biology, University of North Carolina, Chapel Hill, NC
                [8 ]Bergen Center for Computational Science, University of Bergen, Bergen, Norway
                [9 ]Dept. of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
                [10 ]Dept. of Medicine, Division of Genetics, Brigham & Women’s Hospital and Harvard Medical School, Boston, MA
                [11 ]Department of Medicine, Division of Oncology, University of Washington, Seattle, WA
                Author notes
                []correspondence: jstam@ 123456uw.edu
                [*]

                these authors contributed equally

                Article
                NIHMS377833
                10.1038/nature11232
                3721348
                22955617
                ed0ec2a9-bc7e-40ef-a9ef-ee341c1c4b6f
                History
                Funding
                Funded by: National Human Genome Research Institute : NHGRI
                Award ID: U54 HG004563 || HG
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