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      TET2 binding to enhancers facilitates transcription factor recruitment in hematopoietic cells

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          Abstract

          The epigenetic regulator TET2 is frequently mutated in hematological diseases. Mutations have been shown to arise in hematopoietic stem cells early in disease development and lead to altered DNA methylation landscapes and an increased risk of hematopoietic malignancy. Here, we show by genome-wide mapping of TET2 binding sites in different cell types that TET2 localizes to regions of open chromatin and cell-type–specific enhancers. We find that deletion of Tet2 in native hematopoiesis as well as fully transformed acute myeloid leukemia (AML) results in changes in transcription factor (TF) activity within these regions, and we provide evidence that loss of TET2 leads to attenuation of chromatin binding of members of the basic helix–loop–helix (bHLH) TF family. Together, these findings demonstrate that TET2 activity shapes the local chromatin environment at enhancers to facilitate TF binding and provides an example of how epigenetic dysregulation can affect gene expression patterns and drive disease development.

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          Most cited references67

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          Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position.

          We describe an assay for transposase-accessible chromatin using sequencing (ATAC-seq), based on direct in vitro transposition of sequencing adaptors into native chromatin, as a rapid and sensitive method for integrative epigenomic analysis. ATAC-seq captures open chromatin sites using a simple two-step protocol with 500-50,000 cells and reveals the interplay between genomic locations of open chromatin, DNA-binding proteins, individual nucleosomes and chromatin compaction at nucleotide resolution. We discovered classes of DNA-binding factors that strictly avoided, could tolerate or tended to overlap with nucleosomes. Using ATAC-seq maps of human CD4(+) T cells from a proband obtained on consecutive days, we demonstrated the feasibility of analyzing an individual's epigenome on a timescale compatible with clinical decision-making.
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            GREAT improves functional interpretation of cis-regulatory regions.

            We developed the Genomic Regions Enrichment of Annotations Tool (GREAT) to analyze the functional significance of cis-regulatory regions identified by localized measurements of DNA binding events across an entire genome. Whereas previous methods took into account only binding proximal to genes, GREAT is able to properly incorporate distal binding sites and control for false positives using a binomial test over the input genomic regions. GREAT incorporates annotations from 20 ontologies and is available as a web application. Applying GREAT to data sets from chromatin immunoprecipitation coupled with massively parallel sequencing (ChIP-seq) of multiple transcription-associated factors, including SRF, NRSF, GABP, Stat3 and p300 in different developmental contexts, we recover many functions of these factors that are missed by existing gene-based tools, and we generate testable hypotheses. The utility of GREAT is not limited to ChIP-seq, as it could also be applied to open chromatin, localized epigenomic markers and similar functional data sets, as well as comparative genomics sets.
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              Age-related clonal hematopoiesis associated with adverse outcomes.

              The incidence of hematologic cancers increases with age. These cancers are associated with recurrent somatic mutations in specific genes. We hypothesized that such mutations would be detectable in the blood of some persons who are not known to have hematologic disorders. We analyzed whole-exome sequencing data from DNA in the peripheral-blood cells of 17,182 persons who were unselected for hematologic phenotypes. We looked for somatic mutations by identifying previously characterized single-nucleotide variants and small insertions or deletions in 160 genes that are recurrently mutated in hematologic cancers. The presence of mutations was analyzed for an association with hematologic phenotypes, survival, and cardiovascular events. Detectable somatic mutations were rare in persons younger than 40 years of age but rose appreciably in frequency with age. Among persons 70 to 79 years of age, 80 to 89 years of age, and 90 to 108 years of age, these clonal mutations were observed in 9.5% (219 of 2300 persons), 11.7% (37 of 317), and 18.4% (19 of 103), respectively. The majority of the variants occurred in three genes: DNMT3A, TET2, and ASXL1. The presence of a somatic mutation was associated with an increase in the risk of hematologic cancer (hazard ratio, 11.1; 95% confidence interval [CI], 3.9 to 32.6), an increase in all-cause mortality (hazard ratio, 1.4; 95% CI, 1.1 to 1.8), and increases in the risks of incident coronary heart disease (hazard ratio, 2.0; 95% CI, 1.2 to 3.4) and ischemic stroke (hazard ratio, 2.6; 95% CI, 1.4 to 4.8). Age-related clonal hematopoiesis is a common condition that is associated with increases in the risk of hematologic cancer and in all-cause mortality, with the latter possibly due to an increased risk of cardiovascular disease. (Funded by the National Institutes of Health and others.).
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                Author and article information

                Journal
                Genome Res
                Genome Res
                genome
                genome
                GENOME
                Genome Research
                Cold Spring Harbor Laboratory Press
                1088-9051
                1549-5469
                April 2019
                : 29
                : 4
                : 564-575
                Affiliations
                [1 ]Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark;
                [2 ]The Novo Nordisk Foundation Center for Stem Cell Biology (Danstem), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark;
                [3 ]European Molecular Biology Institute, Structural and Computational Unit, 69115 Heidelberg, Germany;
                [4 ]Cell Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA;
                [5 ]Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge CB2 0XY, United Kingdom;
                [6 ]Department of Haematology, Cambridge University Hospitals NHS Trust, Cambridge CB2 0PT, United Kingdom
                Author notes
                [7]

                These authors contributed equally to this work.

                Present addresses: 8Centre for Gene Regulation and Expression (GRE), School of Life Sciences, University of Dundee, DD1 5EH Dundee, UK; 9Friedrich Miescher Institute for Biomedical Research (FMI), CH-4058 Basel, Switzerland

                Author information
                http://orcid.org/0000-0003-4337-8022
                http://orcid.org/0000-0001-8324-4040
                http://orcid.org/0000-0003-1975-6097
                Article
                9509184
                10.1101/gr.239277.118
                6442383
                30796038
                b7a4872a-0abc-4384-ba52-bbe9a28e2ca1
                © 2019 Rasmussen et al.; Published by Cold Spring Harbor Laboratory Press

                This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 7 May 2018
                : 19 February 2019
                Page count
                Pages: 12
                Funding
                Funded by: Danish Medical Research Council , open-funder-registry 10.13039/100008392;
                Award ID: FSS 1333-00120B
                Funded by: Program for Advancing Strategic International Networks to Accelerate the Circulation of Talented Researchers
                Funded by: JSPS , open-funder-registry 10.13039/501100001691;
                Award ID: S2704
                Funded by: Marie Sklodowska-Curie individual fellowship
                Funded by: Horizon 2020 Framework Programme , open-funder-registry 10.13039/100010661;
                Award ID: H2020-MSCA-IF-2017-796341
                Funded by: European Research Council , open-funder-registry 10.13039/501100000781;
                Award ID: 294666_DNAMET
                Funded by: Danish Cancer Society
                Funded by: Danish National Research Foundation
                Award ID: DNRF82
                Funded by: Novo Nordisk Foundation , open-funder-registry 10.13039/501100009708;
                Award ID: NNF17CC0027852
                Funded by: National Institutes of Health (NIH) , open-funder-registry 10.13039/100000002;
                Award ID: P30 CA008748
                Categories
                Research

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