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  • 1
    Publication Date: 2015-07-15
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schoggins, John W -- MacDuff, Donna A -- Imanaka, Naoko -- Gainey, Maria D -- Shrestha, Bimmi -- Eitson, Jennifer L -- Mar, Katrina B -- Richardson, R Blake -- Ratushny, Alexander V -- Litvak, Vladimir -- Dabelic, Rea -- Manicassamy, Balaji -- Aitchison, John D -- Aderem, Alan -- Elliott, Richard M -- Garcia-Sastre, Adolfo -- Racaniello, Vincent -- Snijder, Eric J -- Yokoyama, Wayne M -- Diamond, Michael S -- Virgin, Herbert W -- Rice, Charles M -- K01 DK095031/DK/NIDDK NIH HHS/ -- R00 AI095320/AI/NIAID NIH HHS/ -- R01 AI032972/AI/NIAID NIH HHS/ -- R01 AI091707/AI/NIAID NIH HHS/ -- R01 AI102597/AI/NIAID NIH HHS/ -- R01 AI104972/AI/NIAID NIH HHS/ -- England -- Nature. 2015 Sep 3;525(7567):144. doi: 10.1038/nature14555. Epub 2015 Jul 8.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26153856" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2013-11-29
    Description: The type I interferon (IFN) response protects cells from viral infection by inducing hundreds of interferon-stimulated genes (ISGs), some of which encode direct antiviral effectors. Recent screening studies have begun to catalogue ISGs with antiviral activity against several RNA and DNA viruses. However, antiviral ISG specificity across multiple distinct classes of viruses remains largely unexplored. Here we used an ectopic expression assay to screen a library of more than 350 human ISGs for effects on 14 viruses representing 7 families and 11 genera. We show that 47 genes inhibit one or more viruses, and 25 genes enhance virus infectivity. Comparative analysis reveals that the screened ISGs target positive-sense single-stranded RNA viruses more effectively than negative-sense single-stranded RNA viruses. Gene clustering highlights the cytosolic DNA sensor cyclic GMP-AMP synthase (cGAS, also known as MB21D1) as a gene whose expression also broadly inhibits several RNA viruses. In vitro, lentiviral delivery of enzymatically active cGAS triggers a STING-dependent, IRF3-mediated antiviral program that functions independently of canonical IFN/STAT1 signalling. In vivo, genetic ablation of murine cGAS reveals its requirement in the antiviral response to two DNA viruses, and an unappreciated contribution to the innate control of an RNA virus. These studies uncover new paradigms for the preferential specificity of IFN-mediated antiviral pathways spanning several virus families.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4077721/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4077721/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schoggins, John W -- MacDuff, Donna A -- Imanaka, Naoko -- Gainey, Maria D -- Shrestha, Bimmi -- Eitson, Jennifer L -- Mar, Katrina B -- Richardson, R Blake -- Ratushny, Alexander V -- Litvak, Vladimir -- Dabelic, Rea -- Manicassamy, Balaji -- Aitchison, John D -- Aderem, Alan -- Elliott, Richard M -- Garcia-Sastre, Adolfo -- Racaniello, Vincent -- Snijder, Eric J -- Yokoyama, Wayne M -- Diamond, Michael S -- Virgin, Herbert W -- Rice, Charles M -- 099220/Wellcome Trust/United Kingdom -- AI057158/AI/NIAID NIH HHS/ -- AI057160/AI/NIAID NIH HHS/ -- AI083025/AI/NIAID NIH HHS/ -- AI091707/AI/NIAID NIH HHS/ -- AI095611/AI/NIAID NIH HHS/ -- AI104972/AI/NIAID NIH HHS/ -- DK095031/DK/NIDDK NIH HHS/ -- G0801822/Medical Research Council/United Kingdom -- GM076547/GM/NIGMS NIH HHS/ -- GM103511/GM/NIGMS NIH HHS/ -- HHSN266200700010C/PHS HHS/ -- HHSN272200900041CU19/CU/CSP VA/ -- K01 DK095031/DK/NIDDK NIH HHS/ -- R00 AI095320/AI/NIAID NIH HHS/ -- R01 AI032972/AI/NIAID NIH HHS/ -- R01 AI091707/AI/NIAID NIH HHS/ -- R01 AI102597/AI/NIAID NIH HHS/ -- R01 AI104972/AI/NIAID NIH HHS/ -- T32 AI005284/AI/NIAID NIH HHS/ -- T32 AR007279/AR/NIAMS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Jan 30;505(7485):691-5. doi: 10.1038/nature12862. Epub 2013 Nov 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, New York 10065, USA [2] Department of Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA (J.W.S.); MRC-University of Glasgow Centre for Virus Research, Glasgow, Scotland G61 1QH, UK (R.M.E.). ; Department of Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri 63110, USA. ; Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, New York 10065, USA. ; Rheumatology Division, Department of Medicine, and Howard Hughes Medical Institute, Washington University School of Medicine, St Louis, Missouri 63110, USA. ; Infectious Diseases Division, Department of Medicine and Department of Molecular Microbiology, Washington University School of Medicine, St Louis, Missouri 63110, USA. ; Department of Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA. ; 1] Seattle Biomedical Research Institute, Seattle, Washington 98109, USA [2] Institute for Systems Biology, Seattle, Washington 98109, USA. ; Seattle Biomedical Research Institute, Seattle, Washington 98109, USA. ; Department of Microbiology and Immunology, Columbia University, New York, New York 10032, USA. ; Department of Microbiology, University of Chicago, Chicago, Illinois 60637, USA. ; 1] School of Biology, University of St Andrews, St Andrews, Scotland KY16 9ST, UK [2] Department of Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA (J.W.S.); MRC-University of Glasgow Centre for Virus Research, Glasgow, Scotland G61 1QH, UK (R.M.E.). ; 1] Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA [2] Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA [3] Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA. ; Department of Medical Microbiology, Leiden University Medical Center, Leiden 2300 RC, The Netherlands. ; 1] Department of Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri 63110, USA [2] Infectious Diseases Division, Department of Medicine and Department of Molecular Microbiology, Washington University School of Medicine, St Louis, Missouri 63110, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24284630" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cluster Analysis ; DNA Viruses/immunology/pathogenicity ; Flow Cytometry ; Gene Library ; Immunity, Innate/*genetics/*immunology ; Interferon Regulatory Factor-3/immunology/metabolism ; Interferons/*immunology/metabolism ; Membrane Proteins/metabolism ; Mice ; Mice, Knockout ; Nucleotidyltransferases/deficiency/genetics/*immunology/*metabolism ; RNA Viruses/immunology/pathogenicity ; STAT1 Transcription Factor/metabolism ; Substrate Specificity ; Viruses/classification/*immunology/pathogenicity
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2012-09-18
    Description: Antiviral responses must be tightly regulated to defend rapidly against infection while minimizing inflammatory damage. Type 1 interferons (IFN-I) are crucial mediators of antiviral responses and their transcription is regulated by a variety of transcription factors; principal among these is the family of interferon regulatory factors (IRFs). The IRF gene regulatory networks are complex and contain multiple feedback loops. The tools of systems biology are well suited to elucidate the complex interactions that give rise to precise coordination of the interferon response. Here we have used an unbiased systems approach to predict that a member of the forkhead family of transcription factors, FOXO3, is a negative regulator of a subset of antiviral genes. This prediction was validated using macrophages isolated from Foxo3-null mice. Genome-wide location analysis combined with gene deletion studies identified the Irf7 gene as a critical target of FOXO3. FOXO3 was identified as a negative regulator of Irf7 transcription and we have further demonstrated that FOXO3, IRF7 and IFN-I form a coherent feed-forward regulatory circuit. Our data suggest that the FOXO3-IRF7 regulatory circuit represents a novel mechanism for establishing the requisite set points in the interferon pathway that balances the beneficial effects and deleterious sequelae of the antiviral response.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3556990/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3556990/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Litvak, Vladimir -- Ratushny, Alexander V -- Lampano, Aaron E -- Schmitz, Frank -- Huang, Albert C -- Raman, Ayush -- Rust, Alistair G -- Bergthaler, Andreas -- Aitchison, John D -- Aderem, Alan -- HHSN272200700038C/AI/NIAID NIH HHS/ -- HHSN272200700038C/PHS HHS/ -- HHSN272200800058C/AI/NIAID NIH HHS/ -- HSN272200800058C/PHS HHS/ -- R01 AI025032/AI/NIAID NIH HHS/ -- R01 AI032972/AI/NIAID NIH HHS/ -- R01AI025032/AI/NIAID NIH HHS/ -- R01AI032972/AI/NIAID NIH HHS/ -- U19 AI100627/AI/NIAID NIH HHS/ -- U54 GM103511/GM/NIGMS NIH HHS/ -- U54 RR022220/RR/NCRR NIH HHS/ -- U54GM103511/GM/NIGMS NIH HHS/ -- England -- Nature. 2012 Oct 18;490(7420):421-5. doi: 10.1038/nature11428. Epub 2012 Sep 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Seattle Biomedical Research Institute, Seattle, Washington 98109, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22982991" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Female ; Forkhead Transcription Factors/deficiency/genetics/*metabolism ; Gene Deletion ; Gene Expression Regulation/*immunology ; Inflammation/genetics/*immunology/*pathology ; Interferon Regulatory Factor-7/deficiency/genetics/*metabolism ; Interferon Type I/immunology ; Lung/immunology/pathology/virology ; Macrophages/immunology ; Mice ; Mice, Inbred C57BL ; Reproducibility of Results ; Vesiculovirus/*immunology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2014-02-11
    Description: Systems scale models provide the foundation for an effective iterative cycle between hypothesis generation, experiment and model refinement. Such models also enable predictions facilitating the understanding of biological complexity and the control of biological systems. Here, we demonstrate the reconstruction of a globally predictive gene regulatory model from public data: a model that can drive rational experiment design and reveal new regulatory mechanisms underlying responses to novel environments. Specifically, using ~1500 publically available genome-wide transcriptome data sets from Saccharomyces cerevisiae , we have reconstructed an environment and gene regulatory influence network that accurately predicts regulatory mechanisms and gene expression changes on exposure of cells to completely novel environments. Focusing on transcriptional networks that induce peroxisomes biogenesis, the model-guided experiments allow us to expand a core regulatory network to include novel transcriptional influences and linkage across signaling and transcription. Thus, the approach and model provides a multi-scalar picture of gene dynamics and are powerful resources for exploiting extant data to rationally guide experimentation. The techniques outlined here are generally applicable to any biological system, which is especially important when experimental systems are challenging and samples are difficult and expensive to obtain—a common problem in laboratory animal and human studies.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 5
    Publication Date: 2017-01-06
    Description: Cell growth is a complex phenotype widely used in systems biology to gauge the impact of genetic and environmental perturbations. Due to the magnitude of genome-wide studies, resolution is often sacrificed in favor of throughput, creating a demand for scalable, time-resolved, quantitative methods of growth assessment. We present ODELAY (One-cell Doubling Evaluation by Living Arrays of Yeast), an automated and scalable growth analysis platform. High measurement density and single-cell resolution provide a powerful tool for large-scale multiparameter growth analysis based on the modeling of microcolony expansion on solid media. Pioneered in yeast but applicable to other colony forming organisms, ODELAY extracts the three key growth parameters (lag time, doubling time, and carrying capacity) that define microcolony expansion from single cells, simultaneously permitting the assessment of population heterogeneity. The utility of ODELAY is illustrated using yeast mutants, revealing a spectrum of phenotypes arising from single and combinatorial growth parameter perturbations.
    Electronic ISSN: 2160-1836
    Topics: Biology
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  • 6
    Publication Date: 2016-12-17
    Description: The nuclear lamina is a filamentous structure subtending the nuclear envelope and required for chromatin organization, transcriptional regulation and maintaining nuclear structure. The trypanosomatid coiled-coil NUP-1 protein is a lamina component functionally analogous to lamins, the major lamina proteins of metazoa. There is little evidence for shared ancestry, suggesting the presence of a distinct lamina system in trypanosomes. To find additional trypanosomatid lamina components we identified NUP-1 interacting proteins by affinity capture and mass-spectrometry. Multiple components of the nuclear pore complex (NPC) and a second coiled-coil protein, which we termed NUP-2, were found. NUP-2 has a punctate distribution at the nuclear periphery throughout the cell cycle and is in close proximity to NUP-1, the NPCs and telomeric chromosomal regions. RNAi-mediated silencing of NUP-2 leads to severe proliferation defects, gross alterations to nuclear structure, chromosomal organization and nuclear envelope architecture. Further, transcription is altered at telomere-proximal variant surface glycoprotein (VSG) expression sites (ESs), suggesting a role in controlling ES expression, although NUP-2 silencing does not increase VSG switching. Transcriptome analysis suggests specific alterations to Pol I-dependent transcription. NUP-1 is mislocalized in NUP-2 knockdown cells and vice versa , implying that NUP-1 and NUP-2 form a co-dependent network and identifying NUP-2 as a second trypanosomatid nuclear lamina component.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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