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      Dynamic recruitment of Ets1 to both nucleosome-occupied and -depleted enhancer regions mediates a transcriptional program switch during early T-cell differentiation

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          Abstract

          Ets1 is a sequence-specific transcription factor that plays an important role during hematopoiesis, and is essential for the transition of CD4 /CD8 double negative (DN) to CD4 +/CD8 + double positive (DP) thymocytes. Using genome-wide and functional approaches, we investigated the binding properties, transcriptional role and chromatin environment of Ets1 during this transition. We found that while Ets1 binding at distal sites was associated with active genes at both DN and DP stages, its enhancer activity was attained at the DP stage, as reflected by levels of the core transcriptional hallmarks H3K4me1/3, RNA Polymerase II and eRNA. This dual, stage-specific ability reflected a switch from non-T hematopoietic toward T-cell specific gene expression programs during the DN-to-DP transition, as indicated by transcriptome analyses of Ets1 −/− thymic cells. Coincidentally, Ets1 associates more specifically with Runx1 in DN and with TCF1 in DP cells. We also provide evidence that Ets1 predominantly binds distal nucleosome-occupied regions in DN and nucleosome-depleted regions in DP. Finally and importantly, we demonstrate that Ets1 induces chromatin remodeling by displacing H3K4me1-marked nucleosomes. Our results thus provide an original model whereby the ability of a transcription factor to bind nucleosomal DNA changes during differentiation with consequences on its cognate enhancer activity.

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          Most cited references63

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          Genome-wide analysis of ETS-family DNA-binding in vitro and in vivo

          Members of the large ETS family of transcription factors (TFs) have highly similar DNA-binding domains (DBDs)—yet they have diverse functions and activities in physiology and oncogenesis. Some differences in DNA-binding preferences within this family have been described, but they have not been analysed systematically, and their contributions to targeting remain largely uncharacterized. We report here the DNA-binding profiles for all human and mouse ETS factors, which we generated using two different methods: a high-throughput microwell-based TF DNA-binding specificity assay, and protein-binding microarrays (PBMs). Both approaches reveal that the ETS-binding profiles cluster into four distinct classes, and that all ETS factors linked to cancer, ERG, ETV1, ETV4 and FLI1, fall into just one of these classes. We identify amino-acid residues that are critical for the differences in specificity between all the classes, and confirm the specificities in vivo using chromatin immunoprecipitation followed by sequencing (ChIP-seq) for a member of each class. The results indicate that even relatively small differences in in vitro binding specificity of a TF contribute to site selectivity in vivo.
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            Identification and characterization of enhancers controlling the inflammatory gene expression program in macrophages.

            Enhancers determine tissue-specific gene expression programs. Enhancers are marked by high histone H3 lysine 4 mono-methylation (H3K4me1) and by the acetyl-transferase p300, which has allowed genome-wide enhancer identification. However, the regulatory principles by which subsets of enhancers become active in specific developmental and/or environmental contexts are unknown. We exploited inducible p300 binding to chromatin to identify, and then mechanistically dissect, enhancers controlling endotoxin-stimulated gene expression in macrophages. In these enhancers, binding sites for the lineage-restricted and constitutive Ets protein PU.1 coexisted with those for ubiquitous stress-inducible transcription factors such as NF-kappaB, IRF, and AP-1. PU.1 was required for maintaining H3K4me1 at macrophage-specific enhancers. Reciprocally, ectopic expression of PU.1 reactivated these enhancers in fibroblasts. Thus, the combinatorial assembly of tissue- and signal-specific transcription factors determines the activity of a distinct group of enhancers. We suggest that this may represent a general paradigm in tissue-restricted and stimulus-responsive gene regulation.
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              Discovery of non-directional and directional pioneer transcription factors by modeling DNase profile magnitude and shape

              Here we describe Protein Interaction Quantitation (PIQ), a computational method that models the magnitude and shape of genome-wide DNase profiles to facilitate the identification of transcription factor (TF) binding sites. Through the use of machine learning techniques, PIQ identified binding sites for >700 TFs from one DNase-seq experiment with accuracy comparable to ChIP-seq for motif-associated TFs (median AUC=0.93 across 303 TFs). We applied PIQ to analyze DNase-seq data from mouse embryonic stem cells differentiating into pre-pancreatic and intestinal endoderm. We identified (n=120) and experimentally validated eight ‘pioneer’ TF families that dynamically open chromatin, enabling other TFs to bind to adjacent DNA. Four pioneer TF families only open chromatin in one direction from their motifs. Furthermore, we identified a class of ‘settler’ TFs whose genomic binding is principally governed by proximity to open chromatin. Our results support a model of hierarchical TF binding in which directional and non-directional pioneer activity shapes the chromatin landscape for population by settler TFs.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                05 May 2016
                15 December 2015
                15 December 2015
                : 44
                : 8
                : 3567-3585
                Affiliations
                [1 ]CIML CNRS UMR7280, Case 906, Campus de Luminy, Marseille F-13009, France
                [2 ]CIML INSERM U1104, Case 906, Campus de Luminy, Marseille F-13009, France
                [3 ]Aix-Marseille University, 58 Boulevard Charles Livon, Marseille F-13284, France
                [4 ]Inserm U1090, Technological Advances for Genomics and Clinics (TAGC), Marseille F-13009, France
                [5 ]Aix-Marseille University UMR-S 1090, TAGC, Marseille F-13009, France
                [6 ]Institut de Génétique Moléculaire de Montpellier, CNRS UMR5535, 1919 Route de Mende, Montpellier F-34293, France
                [7 ]Centre Nacional D'Anàlisi Genòmica, Parc Científic de Barcelona, Baldiri i Reixac 4, Barcelona ES-08028, Spain
                [8 ]INSERM UMR 1126 Institut Universitaire d'Hématologie, Hôpital Saint-Louis, Paris F-75475, France
                Author notes
                [* ]To whom correspondence should be addressed. Tel: +33 4 34 35 96 52; Fax: +33 4 67 52 15; Email: jean-christophe.andrau@ 123456igmm.cnrs.fr
                Correspondence may also be addressed to Salvatore Spicuglia. Tel +33 4 91 82 87 22; Fax: +33 4 91 82 87 01; Email: salvatore.spicuglia@ 123456inserm.fr
                []These authors contributed equally to the paper as first authors.
                Article
                10.1093/nar/gkv1475
                4856961
                26673693
                c6584c72-c227-486c-afd9-5d78b8e731b2
                © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 03 December 2015
                : 30 November 2015
                : 30 October 2015
                Page count
                Pages: 19
                Categories
                Gene regulation, Chromatin and Epigenetics
                Custom metadata
                05 May 2016

                Genetics
                Genetics

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