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      Single nucleosome imaging reveals loose genome chromatin networks via active RNA polymerase II

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          Abstract

          When a gene is activated, chromatin in the transcribed region is thought to be more open and dynamic. However, Nagashima et al. found that this is not necessarily the case—inhibition of transcription globally increases chromatin motion, revealing the existence of loose genome chromatin networks via transcriptional machinery.

          Abstract

          Although chromatin organization and dynamics play a critical role in gene transcription, how they interplay remains unclear. To approach this issue, we investigated genome-wide chromatin behavior under various transcriptional conditions in living human cells using single-nucleosome imaging. While transcription by RNA polymerase II (RNAPII) is generally thought to need more open and dynamic chromatin, surprisingly, we found that active RNAPII globally constrains chromatin movements. RNAPII inhibition or its rapid depletion released the chromatin constraints and increased chromatin dynamics. Perturbation experiments of P-TEFb clusters, which are associated with active RNAPII, had similar results. Furthermore, chromatin mobility also increased in resting G0 cells and UV-irradiated cells, which are transcriptionally less active. Our results demonstrated that chromatin is globally stabilized by loose connections through active RNAPII, which is compatible with models of classical transcription factories or liquid droplet formation of transcription-related factors. Together with our computational modeling, we propose the existence of loose chromatin domain networks for various intra-/interchromosomal contacts via active RNAPII clusters/droplets.

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          Extension of life-span by introduction of telomerase into normal human cells.

          Normal human cells undergo a finite number of cell divisions and ultimately enter a nondividing state called replicative senescence. It has been proposed that telomere shortening is the molecular clock that triggers senescence. To test this hypothesis, two telomerase-negative normal human cell types, retinal pigment epithelial cells and foreskin fibroblasts, were transfected with vectors encoding the human telomerase catalytic subunit. In contrast to telomerase-negative control clones, which exhibited telomere shortening and senescence, telomerase-expressing clones had elongated telomeres, divided vigorously, and showed reduced straining for beta-galactosidase, a biomarker for senescence. Notably, the telomerase-expressing clones have a normal karyotype and have already exceeded their normal life-span by at least 20 doublings, thus establishing a causal relationship between telomere shortening and in vitro cellular senescence. The ability to maintain normal human cells in a phenotypically youthful state could have important applications in research and medicine.
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            Mapping Nucleosome Resolution Chromosome Folding in Yeast by Micro-C.

            We describe a Hi-C-based method, Micro-C, in which micrococcal nuclease is used instead of restriction enzymes to fragment chromatin, enabling nucleosome resolution chromosome folding maps. Analysis of Micro-C maps for budding yeast reveals abundant self-associating domains similar to those reported in other species, but not previously observed in yeast. These structures, far shorter than topologically associating domains in mammals, typically encompass one to five genes in yeast. Strong boundaries between self-associating domains occur at promoters of highly transcribed genes and regions of rapid histone turnover that are typically bound by the RSC chromatin-remodeling complex. Investigation of chromosome folding in mutants confirms roles for RSC, "gene looping" factor Ssu72, Mediator, H3K56 acetyltransferase Rtt109, and the N-terminal tail of H4 in folding of the yeast genome. This approach provides detailed structural maps of a eukaryotic genome, and our findings provide insights into the machinery underlying chromosome compaction.
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              Inhibiting eukaryotic transcription: Which compound to choose? How to evaluate its activity?

              This review first discusses ways in which we can evaluate transcription inhibition, describe changes in nuclear structure due to transcription inhibition, and report on genes that are paradoxically stimulated by transcription inhibition. Next, it summarizes the characteristics and mechanisms of commonly used inhibitors: α-amanitin is highly selective for RNAP II and RNAP III but its action is slow, actinomycin D is fast but its selectivity is poor, CDK9 inhibitors such as DRB and flavopiridol are fast and reversible but many genes escape transcription inhibition. New compounds, such as triptolide, are fast and selective and able to completely arrest transcription by triggering rapid degradation of RNAP II.
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                Author and article information

                Journal
                J Cell Biol
                J. Cell Biol
                jcb
                jcb
                The Journal of Cell Biology
                Rockefeller University Press
                0021-9525
                1540-8140
                06 May 2019
                01 March 2019
                01 March 2019
                : 218
                : 5
                : 1511-1530
                Affiliations
                [1 ]Genome Dynamics Laboratory, National Institute of Genetics, Research Organization of Information and Systems, Mishima, Japan
                [2 ]Department of Genetics, School of Life Science, SOKENDAI, Mishima, Japan
                [3 ]Department of Applied Physics, Nagoya University, Nagoya, Japan
                [4 ]Department of Computational Science and Engineering, Nagoya University, Nagoya, Japan
                [5 ]Eugene Bell Center for Regenerative Biology and Tissue Engineering, Marine Biological Laboratory, Woods Hole, MA
                [6 ]Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan
                [7 ]Molecular Cell Engineering Laboratory, National Institute of Genetics, ROIS, Mishima, Japan
                Author notes
                Correspondence to Kazuhiro Maeshima: kmaeshim@ 123456nig.ac.jp
                [*]

                R. Nagashima and K. Hibino contributed equally to this paper.

                Author information
                http://orcid.org/0000-0003-0854-083X
                http://orcid.org/0000-0002-5849-6294
                http://orcid.org/0000-0002-7657-1649
                http://orcid.org/0000-0002-1028-8242
                http://orcid.org/0000-0003-3909-0341
                Article
                201811090
                10.1083/jcb.201811090
                6504897
                30824489
                bfc48e90-97b2-4ae3-8040-ec3da767c55c
                © 2019 Nagashima et al.

                This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).

                History
                : 18 November 2018
                : 31 January 2019
                : 07 February 2019
                Page count
                Pages: 20
                Funding
                Funded by: Japan Society for the Promotion of Science, DOI https://doi.org/10.13039/501100001691;
                Funded by: SOKENDAI Short-Stay Study Abroad Program
                Funded by: Japan Society for the Promotion of Science, DOI https://doi.org/10.13039/501100001691;
                Award ID: 16H04746
                Funded by: Takeda Science Foundation, DOI https://doi.org/10.13039/100007449;
                Funded by: Japan Science and Technology Agency, DOI https://doi.org/10.13039/501100002241;
                Award ID: JPMJCR15G2
                Funded by: National Institute of General Medical Sciences, DOI https://doi.org/10.13039/100000057;
                Award ID: R01-GM101701
                Funded by: National Institute of Genetics, DOI https://doi.org/10.13039/501100010462;
                Award ID: 2016-A2 (6)
                Categories
                Research Articles
                Article
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                36
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                Cell biology
                Cell biology

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