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      Epstein–Barr virus particles induce centrosome amplification and chromosomal instability

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          Abstract

          Infections with Epstein–Barr virus (EBV) are associated with cancer development, and EBV lytic replication (the process that generates virus progeny) is a strong risk factor for some cancer types. Here we report that EBV infection of B-lymphocytes ( in vitro and in a mouse model) leads to an increased rate of centrosome amplification, associated with chromosomal instability. This effect can be reproduced with virus-like particles devoid of EBV DNA, but not with defective virus-like particles that cannot infect host cells. Viral protein BNRF1 induces centrosome amplification, and BNRF1-deficient viruses largely lose this property. These findings identify a new mechanism by which EBV particles can induce chromosomal instability without establishing a chronic infection, thereby conferring a risk for development of tumours that do not necessarily carry the viral genome.

          Abstract

          Infection with Epstein–Barr virus (EBV) is associated with increased risk of cancer development. Here the authors show that EBV particles, and more specifically the viral protein BNRF1, induce centrosome amplification and chromosomal instability in host cells in the absence of chronic infection.

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          Most cited references54

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          Chromosome segregation errors as a cause of DNA damage and structural chromosome aberrations.

          Various types of chromosomal aberrations, including numerical (aneuploidy) and structural (e.g., translocations, deletions), are commonly found in human tumors and are linked to tumorigenesis. Aneuploidy is a direct consequence of chromosome segregation errors in mitosis, whereas structural aberrations are caused by improperly repaired DNA breaks. Here, we demonstrate that chromosome segregation errors can also result in structural chromosome aberrations. Chromosomes that missegregate are frequently damaged during cytokinesis, triggering a DNA double-strand break response in the respective daughter cells involving ATM, Chk2, and p53. We show that these double-strand breaks can lead to unbalanced translocations in the daughter cells. Our data show that segregation errors can cause translocations and provide insights into the role of whole-chromosome instability in tumorigenesis.
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            CellCognition: time-resolved phenotype annotation in high-throughput live cell imaging.

            Fluorescence time-lapse imaging has become a powerful tool to investigate complex dynamic processes such as cell division or intracellular trafficking. Automated microscopes generate time-resolved imaging data at high throughput, yet tools for quantification of large-scale movie data are largely missing. Here we present CellCognition, a computational framework to annotate complex cellular dynamics. We developed a machine-learning method that combines state-of-the-art classification with hidden Markov modeling for annotation of the progression through morphologically distinct biological states. Incorporation of time information into the annotation scheme was essential to suppress classification noise at state transitions and confusion between different functional states with similar morphology. We demonstrate generic applicability in different assays and perturbation conditions, including a candidate-based RNA interference screen for regulators of mitotic exit in human cells. CellCognition is published as open source software, enabling live-cell imaging-based screening with assays that directly score cellular dynamics.
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              Microtubule-mediated Transport of Incoming Herpes Simplex Virus 1 Capsids to the Nucleus

              Herpes simplex virus 1 fuses with the plasma membrane of a host cell, and the incoming capsids are efficiently and rapidly transported across the cytosol to the nuclear pore complexes, where the viral DNA genomes are released into the nucleoplasm. Using biochemical assays, immunofluorescence, and immunoelectron microscopy in the presence and absence of microtubule depolymerizing agents, it was shown that the cytosolic capsid transport in Vero cells was mediated by microtubules. Antibody labeling revealed the attachment of dynein, a minus end–directed, microtubule-dependent motor, to the viral capsids. We propose that the incoming capsids bind to microtubules and use dynein to propel them from the cell periphery to the nucleus.
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                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group
                2041-1723
                10 February 2017
                2017
                : 8
                : 14257
                Affiliations
                [1 ]German Cancer Research Centre (DKFZ), Unit F100 , 69120 Heidelberg, Germany
                [2 ]Inserm unit U1074, DKFZ , 69120 Heidelberg, Germany
                [3 ]German Centre for Infection Research (DZIF) , 69120 Heidelberg, Germany
                [4 ]German Cancer Research Centre (DKFZ), Unit F045 , 69120 Heidelberg, Germany
                [5 ]Institute of Human Genetics University Hospital Heidelberg , 69120 Heidelberg, Germany
                [6 ]Helmholtz Zentrum München, Research Unit Gene Vectors , 81377 Munich, Germany
                [7 ]Children's Hospital Technische Universität München , 80804 Munich, Germany
                [8 ]German Center for Infection Research (DZIF) , 81377 Munich, Germany
                [9 ]German Cancer Research Centre (DKFZ), Unit C060 , 69120 Heidelberg, Germany
                [10 ]Helmholtz Zentrum München, German Research Center for Environmental Health, Institute for Diabetes and Obesity, Core Facility Monoclonal Antibodies , 81377 Munich, Germany
                Author notes
                [*]

                These authors contributed equally to this work

                Article
                ncomms14257
                10.1038/ncomms14257
                5309802
                28186092
                c258a3c5-595e-4692-97cd-f5ebe98db44c
                Copyright © 2017, The Author(s)

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 15 June 2016
                : 13 December 2016
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