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      CTCF confers local nucleosome resiliency after DNA replication and during mitosis

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          Abstract

          The access of Transcription Factors (TFs) to their cognate DNA binding motifs requires a precise control over nucleosome positioning. This is especially important following DNA replication and during mitosis, both resulting in profound changes in nucleosome organization over TF binding regions. Using mouse Embryonic Stem (ES) cells, we show that the TF CTCF displaces nucleosomes from its binding site and locally organizes large and phased nucleosomal arrays, not only in interphase steady-state but also immediately after replication and during mitosis. Correlative analyses suggest this is associated with fast gene reactivation following replication and mitosis. While regions bound by other TFs (Oct4/Sox2), display major rearrangement, the post-replication and mitotic nucleosome positioning activity of CTCF is not unique: Esrrb binding regions are also characterized by persistent nucleosome positioning. Therefore, selected TFs such as CTCF and Esrrb act as resilient TFs governing the inheritance of nucleosome positioning at regulatory regions throughout the cell-cycle.

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          A single cell contains several meters of DNA which must be tightly packaged to fit inside. Typically, the DNA is wound around proteins, like a thread around many spools, to form more compact structures called nucleosomes. Before a cell divides in two, however, it needs first to access and replicate its DNA so that each new cell can get a copy of the genetic material. The cell then needs to condense the DNA again so that the two copies can be easily separated via a process called mitosis. These two processes – DNA replication and mitosis – entail major rearrangements of the nucleosomes, which then need to be returned to their original positions.

          Nucleosomes are also repositioned when cells need to access the coded instructions written in genes. Molecules called transcription factors bind to targets within the DNA to make sure genes are active or inactive at the right times of a cell’s life, but many are evicted from the DNA during its replication and during cell division. Most transcription factors also require nucleosomes to be specifically organized to bind to the DNA, and it remains unclear how the factors re-engage with the DNA and how nucleosomes are managed during and after DNA replication and mitosis.

          Owens, Papadopoulou et al. set out to understand how nucleosomes are organized immediately after DNA is replicated and while cells divide. Experiments with mouse cells grown in the laboratory showed that certain transcription factors can rebind to their targets within minutes of replication finishing, remain bound to the DNA during cell division, and displace nucleosomes from their binding sites. Owens, Papadopoulou et al. refer to these factors as “resilient transcription factors” and identified two examples, named CTCF and Esrrb. Further experiments showed that, by maintaining the structure of nearby nucleosomes while a cell divides, these resilient transcription factors could quickly reactivate genes immediately after DNA replication and mitosis are complete.

          These findings show that transcription factors play a fundamental role in maintaining gene regulation from one generation of cells to the next. Further studies on this topic may eventually foster progress in research areas where cell division is paramount, such as regenerative medicine and cancer biology.

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          Most cited references59

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          Transcription factors: from enhancer binding to developmental control.

          Developmental progression is driven by specific spatiotemporal domains of gene expression, which give rise to stereotypically patterned embryos even in the presence of environmental and genetic variation. Views of how transcription factors regulate gene expression are changing owing to recent genome-wide studies of transcription factor binding and RNA expression. Such studies reveal patterns that, at first glance, seem to contrast with the robustness of the developmental processes they encode. Here, we review our current knowledge of transcription factor function from genomic and genetic studies and discuss how different strategies, including extensive cooperative regulation (both direct and indirect), progressive priming of regulatory elements, and the integration of activities from multiple enhancers, confer specificity and robustness to transcriptional regulation during development.
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            • Article: not found

            Identifying ChIP-seq enrichment using MACS.

            Model-based analysis of ChIP-seq (MACS) is a computational algorithm that identifies genome-wide locations of transcription/chromatin factor binding or histone modification from ChIP-seq data. MACS consists of four steps: removing redundant reads, adjusting read position, calculating peak enrichment and estimating the empirical false discovery rate (FDR). In this protocol, we provide a detailed demonstration of how to install MACS and how to use it to analyze three common types of ChIP-seq data sets with different characteristics: the sequence-specific transcription factor FoxA1, the histone modification mark H3K4me3 with sharp enrichment and the H3K36me3 mark with broad enrichment. We also explain how to interpret and visualize the results of MACS analyses. The algorithm requires ∼3 GB of RAM and 1.5 h of computing time to analyze a ChIP-seq data set containing 30 million reads, an estimate that increases with sequence coverage. MACS is open source and is available from http://liulab.dfci.harvard.edu/MACS/.
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              • Record: found
              • Abstract: not found
              • Article: not found

              Objective Criteria for the Evaluation of Clustering Methods

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                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                10 October 2019
                2019
                : 8
                : e47898
                Affiliations
                [1 ]deptEpigenomics, Proliferation, and the Identity of Cells, Department of Developmental and Stem Cell Biology Institut Pasteur, CNRS UMR3738 ParisFrance
                [2 ]Equipe Labellisée LIGUE Contre le Cancer ParisFrance
                [3 ]Sorbonne Université, Collège Doctoral ParisFrance
                [4 ]deptEarly Mammalian Development and Stem Cell Biology, Department of Developmental and Stem Cell Biology Institut Pasteur, CNRS UMR 3738 ParisFrance
                [5 ]Gladstone Institutes San FranciscoUnited States
                [6 ]deptCardiovascular Research Institute University of California, San Francisco San FranciscoUnited States
                [7 ]deptDepartment of Pediatrics University of California, San Francisco San FranciscoUnited States
                Institut Curie France
                Weill Cornell Medicine United States
                Institut Curie France
                Author notes
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-2151-9923
                https://orcid.org/0000-0002-0804-7597
                http://orcid.org/0000-0002-6405-2657
                https://orcid.org/0000-0002-2700-6598
                Article
                47898
                10.7554/eLife.47898
                6844645
                31599722
                57210623-d45a-428f-8db5-f71700f58557
                © 2019, Owens et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 23 April 2019
                : 09 October 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003762, Institut Pasteur;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004794, Centre National de la Recherche Scientifique;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001665, Agence Nationale de la Recherche;
                Award ID: Investissement d'Avenir; Revive Labex; ANR-10-LABX-73
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001665, Agence Nationale de la Recherche;
                Award ID: ANR 16 CE12 0004 01 MITMAT
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004099, Ligue Contre le Cancer;
                Award ID: LNCC EL2018 NAVARRO
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: ERC-CoG-2017 BIND
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100004410, European Molecular Biology Organization;
                Award ID: ALTF523-2013
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000854, Human Frontier Science Program;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100002322, Schlumberger Foundation;
                Award ID: FRM FSER 2017
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Chromosomes and Gene Expression
                Custom metadata
                In contrast to other transcription factors, CTCF and Esrrb rapidly regain binding after replication and remain bound to their targets during mitosis, preserving local nucleosome organization throughout the cell cycle.

                Life sciences
                nucleosome positioning,mitosis,replication,transcription factors,ctcf,pluripotency,mouse
                Life sciences
                nucleosome positioning, mitosis, replication, transcription factors, ctcf, pluripotency, mouse

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