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Rogan PK, Mucaki EJ, Shirley BC. A proposed molecular mechanism for pathogenesis of severe RNA-viral pulmonary infections. F1000Res 2020; 9:943. [PMID: 33299552 PMCID: PMC7676395 DOI: 10.12688/f1000research.25390.1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/23/2020] [Indexed: 12/19/2022] Open
Abstract
Background: Certain riboviruses can cause severe pulmonary complications leading to death in some infected patients. We propose that DNA damage induced-apoptosis accelerates viral release, triggered by depletion of host RNA binding proteins (RBPs) from nuclear RNA bound to replicating viral sequences. Methods: Information theory-based analysis of interactions between RBPs and individual sequences in the Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2), Influenza A (H3N1), HIV-1, and Dengue genomes identifies strong RBP binding sites in these viral genomes. Replication and expression of viral sequences is expected to increasingly sequester RBPs - SRSF1 and RNPS1. Ordinarily, RBPs bound to nascent host transcripts prevents their annealing to complementary DNA. Their depletion induces destabilizing R-loops. Chromosomal breakage occurs when an excess of unresolved R-loops collide with incoming replication forks, overwhelming the DNA repair machinery. We estimated stoichiometry of inhibition of RBPs in host nuclear RNA by counting competing binding sites in replicating viral genomes and host RNA. Results: Host RBP binding sites are frequent and conserved among different strains of RNA viral genomes. Similar binding motifs of SRSF1 and RNPS1 explain why DNA damage resulting from SRSF1 depletion is complemented by expression of RNPS1. Clustering of strong RBP binding sites coincides with the distribution of RNA-DNA hybridization sites across the genome. SARS-CoV-2 replication is estimated to require 32.5-41.8 hours to effectively compete for binding of an equal proportion of SRSF1 binding sites in host encoded nuclear RNAs. Significant changes in expression of transcripts encoding DNA repair and apoptotic proteins were found in an analysis of influenza A and Dengue-infected cells in some individuals. Conclusions: R-loop-induced apoptosis indirectly resulting from viral replication could release significant quantities of membrane-associated virions into neighboring alveoli. These could infect adjacent pneumocytes and other tissues, rapidly compromising lung function, causing multiorgan system failure and other described symptoms.
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Affiliation(s)
- Peter K. Rogan
- Biochemistry, University of Western Ontario, London, Ontario, N6A 2C8, Canada
- CytoGnomix Inc, London, Ontario, N5X 3X5, Canada
| | - Eliseos J. Mucaki
- Biochemistry, University of Western Ontario, London, Ontario, N6A 2C8, Canada
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52
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Rogan PK, Mucaki EJ, Shirley BC. A proposed molecular mechanism for pathogenesis of severe RNA-viral pulmonary infections. F1000Res 2020; 9:943. [PMID: 33299552 PMCID: PMC7676395 DOI: 10.12688/f1000research.25390.2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/16/2020] [Indexed: 12/19/2022] Open
Abstract
Background: Certain riboviruses can cause severe pulmonary complications leading to death in some infected patients. We propose that DNA damage induced-apoptosis accelerates viral release, triggered by depletion of host RNA binding proteins (RBPs) from nuclear RNA bound to replicating viral sequences. Methods: Information theory-based analysis of interactions between RBPs and individual sequences in the Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2), Influenza A (H3N2), HIV-1, and Dengue genomes identifies strong RBP binding sites in these viral genomes. Replication and expression of viral sequences is expected to increasingly sequester RBPs - SRSF1 and RNPS1. Ordinarily, RBPs bound to nascent host transcripts prevents their annealing to complementary DNA. Their depletion induces destabilizing R-loops. Chromosomal breakage occurs when an excess of unresolved R-loops collide with incoming replication forks, overwhelming the DNA repair machinery. We estimated stoichiometry of inhibition of RBPs in host nuclear RNA by counting competing binding sites in replicating viral genomes and host RNA. Results: Host RBP binding sites are frequent and conserved among different strains of RNA viral genomes. Similar binding motifs of SRSF1 and RNPS1 explain why DNA damage resulting from SRSF1 depletion is complemented by expression of RNPS1. Clustering of strong RBP binding sites coincides with the distribution of RNA-DNA hybridization sites across the genome. SARS-CoV-2 replication is estimated to require 32.5-41.8 hours to effectively compete for binding of an equal proportion of SRSF1 binding sites in host encoded nuclear RNAs. Significant changes in expression of transcripts encoding DNA repair and apoptotic proteins were found in an analysis of influenza A and Dengue-infected cells in some individuals. Conclusions: R-loop-induced apoptosis indirectly resulting from viral replication could release significant quantities of membrane-associated virions into neighboring alveoli. These could infect adjacent pneumocytes and other tissues, rapidly compromising lung function, causing multiorgan system failure and other described symptoms.
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Affiliation(s)
- Peter K. Rogan
- Biochemistry, University of Western Ontario, London, Ontario, N6A 2C8, Canada
- CytoGnomix Inc, London, Ontario, N5X 3X5, Canada
| | - Eliseos J. Mucaki
- Biochemistry, University of Western Ontario, London, Ontario, N6A 2C8, Canada
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53
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Hosseini Rad SM A, McLellan AD. Implications of SARS-CoV-2 Mutations for Genomic RNA Structure and Host microRNA Targeting. Int J Mol Sci 2020; 21:E4807. [PMID: 32645951 PMCID: PMC7370282 DOI: 10.3390/ijms21134807] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 07/02/2020] [Accepted: 07/02/2020] [Indexed: 12/15/2022] Open
Abstract
The SARS-CoV-2 virus is a recently-emerged zoonotic pathogen already well adapted to transmission and replication in humans. Although the mutation rate is limited, recently introduced mutations in SARS-CoV-2 have the potential to alter viral fitness. In addition to amino acid changes, mutations could affect RNA secondary structure critical to viral life cycle, or interfere with sequences targeted by host miRNAs. We have analysed subsets of genomes from SARS-CoV-2 isolates from around the globe and show that several mutations introduce changes in Watson-Crick pairing, with resultant changes in predicted secondary structure. Filtering to targets matching miRNAs expressed in SARS-CoV-2-permissive host cells, we identified ten separate target sequences in the SARS-CoV-2 genome; three of these targets have been lost through conserved mutations. A genomic site targeted by the highly abundant miR-197-5p, overexpressed in patients with cardiovascular disease, is lost by a conserved mutation. Our results are compatible with a model that SARS-CoV-2 replication within the human host is constrained by host miRNA defences. The impact of these and further mutations on secondary structures, miRNA targets or potential splice sites offers a new context in which to view future SARS-CoV-2 evolution, and a potential platform for engineering conditional attenuation to vaccine development, as well as providing a better understanding of viral tropism and pathogenesis.
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Affiliation(s)
- Ali Hosseini Rad SM
- Department of Microbiology and Immunology, University of Otago, Dunedin 9010, Otago, New Zealand
| | - Alexander D. McLellan
- Department of Microbiology and Immunology, University of Otago, Dunedin 9010, Otago, New Zealand
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54
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Duvigneau S, Dürr R, Laske T, Bachmann M, Dostert M, Kienle A. Model-based approach for predicting the impact of genetic modifications on product yield in biopharmaceutical manufacturing-Application to influenza vaccine production. PLoS Comput Biol 2020; 16:e1007810. [PMID: 32598363 PMCID: PMC7323952 DOI: 10.1371/journal.pcbi.1007810] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 03/22/2020] [Indexed: 12/23/2022] Open
Abstract
A large group of biopharmaceuticals is produced in cell lines. The yield of such products can be increased by genetic engineering of the corresponding cell lines. The prediction of promising genetic modifications by mathematical modeling is a valuable tool to facilitate experimental screening. Besides information on the intracellular kinetics and genetic modifications the mathematical model has to account for ubiquitous cell-to-cell variability. In this contribution, we establish a novel model-based methodology for influenza vaccine production in cell lines with overexpressed genes. The manipulation of the expression level of genes coding for host cell factors relevant for virus replication is achieved by lentiviral transduction. Since lentiviral transduction causes increased cell-to-cell variability due to different copy numbers and integration sites of the gene constructs we use a population balance modeling approach to account for this heterogeneity in terms of intracellular viral components and distributed kinetic parameters. The latter are estimated from experimental data of intracellular viral RNA levels and virus titers of infection experiments using cells overexpressing a single host cell gene. For experiments with cells overexpressing multiple host cell genes, only final virus titers were measured and thus, no direct estimation of the parameter distributions was possible. Instead, we evaluate four different computational strategies to infer these from single gene parameter sets. Finally, the best computational strategy is used to predict the most promising candidates for future modifications that show the highest potential for an increased virus yield in a combinatorial study. As expected, there is a trend to higher yields the more modifications are included. In the present work, we use a sophisticated simulation-based methodology to account for the impact of genetic modifications in producer cell lines on the yield of biomanufacturing processes. Furthermore, our approach opens the possibility to predict the most promising genetic modifications instead of identifying them in costly and time-consuming screening experiments. As an example, we apply our methodology to cell culture-based influenza vaccine production, a process that is of tremendous importance for the maintenance of public health. Here, we consider cell lines in which genes coding for one or more cellular factors are up-regulated by genetic engineering to increase the virus yield. However, the gene editing procedure increases the heterogeneity in the producer cell population because genetic modifications do not occur equally in each cell. This cell-to-cell variability is taken into account in a population balance modeling framework, thus providing a more accurate prediction of the virus yield in the heterogeneous population. Finally, we use our approach and a concise experimental data set from cell lines with one gene modification to predict the virus yield of cell lines with multiple genetic modifications. Thereby, we facilitate the experimental screening of potential candidates. We suggest that this methodology is transferable to a wide range of biomanufacturing processes and constitutes a valuable contribution to experimental design.
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Affiliation(s)
- Stefanie Duvigneau
- Institute for Automation Engineering, Otto von Guericke University, Magdeburg, Saxony-Anhalt, Germany
| | - Robert Dürr
- Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Saxony-Anhalt, Germany
- * E-mail:
| | - Tanja Laske
- Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Saxony-Anhalt, Germany
| | - Mandy Bachmann
- Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Saxony-Anhalt, Germany
| | - Melanie Dostert
- Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Saxony-Anhalt, Germany
| | - Achim Kienle
- Institute for Automation Engineering, Otto von Guericke University, Magdeburg, Saxony-Anhalt, Germany
- Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Saxony-Anhalt, Germany
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55
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Gaucherand L, Porter BK, Levene RE, Price EL, Schmaling SK, Rycroft CH, Kevorkian Y, McCormick C, Khaperskyy DA, Gaglia MM. The Influenza A Virus Endoribonuclease PA-X Usurps Host mRNA Processing Machinery to Limit Host Gene Expression. Cell Rep 2020; 27:776-792.e7. [PMID: 30995476 PMCID: PMC6499400 DOI: 10.1016/j.celrep.2019.03.063] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 02/08/2019] [Accepted: 03/15/2019] [Indexed: 12/29/2022] Open
Abstract
Many viruses shut off host gene expression to inhibit antiviral responses. Viral proteins and host proteins required for viral replication are typically spared in this process, but the mechanisms of target selectivity during host shutoff remain poorly understood. Using transcriptome-wide and targeted reporter experiments, we demonstrate that the influenza A virus endoribonuclease PA-X usurps RNA splicing to selectively target host RNAs for destruction. Proximity-labeling proteomics reveals that PA-X interacts with cellular RNA processing proteins, some of which are partially required for host shutoff. Thus, PA-X taps into host nuclear pre-mRNA processing mechanisms to destroy nascent mRNAs shortly after their synthesis. This mechanism sets PA-X apart from other viral host shutoff proteins that target actively translating mRNAs in the cytoplasm. Our study reveals a unique mechanism of host shutoff that helps us understand how influenza viruses suppress host gene expression. Influenza A virus PA-X targets the majority of host mRNAs for destruction Downregulation by PA-X correlates with the number of splice sites in a transcript Splicing renders RNAs susceptible to PA-X The cellular CFIm complex interacts with PA-X and contributes to PA-X activity
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Affiliation(s)
- Lea Gaucherand
- Graduate Program in Molecular Microbiology, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, MA, USA; Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA, USA
| | - Brittany K Porter
- Department of Microbiology & Immunology, Dalhousie University, Halifax, NS, Canada
| | - Rachel E Levene
- Graduate Program in Molecular Microbiology, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, MA, USA; Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA, USA
| | - Emma L Price
- Department of Microbiology & Immunology, Dalhousie University, Halifax, NS, Canada
| | - Summer K Schmaling
- Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA, USA
| | - Chris H Rycroft
- Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA; Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Yuzo Kevorkian
- Graduate Program in Molecular Microbiology, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, MA, USA; Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA, USA
| | - Craig McCormick
- Department of Microbiology & Immunology, Dalhousie University, Halifax, NS, Canada.
| | - Denys A Khaperskyy
- Department of Microbiology & Immunology, Dalhousie University, Halifax, NS, Canada.
| | - Marta M Gaglia
- Graduate Program in Molecular Microbiology, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, MA, USA; Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, MA, USA.
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56
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Zhu Y, Wang R, Yu L, Sun H, Tian S, Li P, Jin M, Chen H, Ma W, Zhou H. Human TRA2A determines influenza A virus host adaptation by regulating viral mRNA splicing. SCIENCE ADVANCES 2020; 6:eaaz5764. [PMID: 32596447 PMCID: PMC7304988 DOI: 10.1126/sciadv.aaz5764] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 04/28/2020] [Indexed: 05/24/2023]
Abstract
Several avian influenza A viruses (IAVs) have adapted to mammalian species, including humans. To date, the mechanisms enabling these host shifts remain incompletely understood. Here, we show that a host factor, human TRA2A (huTRA2A), inhibits avian IAV replication, but benefits human IAV replication by altered regulation of viral messenger RNA (mRNA) splicing. huTRA2A depresses mRNA splicing by binding to the intronic splicing silencer motif in the M mRNA of representative avian YS/H5N1 or in the NS mRNA of representative human PR8/H1N1 virus, leading to completely opposite effects on replication of the human and avian viruses in vitro and in vivo. We also confirm that the M-334 site and NS-234/236 sites are critical for TRA2A binding, mRNA splicing, viral replication, and pathogenicity. Our results reveal the underlying mechanisms of adaptation of avian influenza virus to human hosts, and suggest rational strategies to protect public health.
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Affiliation(s)
- Yinxing Zhu
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Ruifang Wang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Luyao Yu
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Huimin Sun
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Shan Tian
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Peng Li
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Meilin Jin
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Huanchun Chen
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Wenjun Ma
- Department of Diagnostic Medicine/Pathobiology, Kansas State University, Manhattan, KS, USA
| | - Hongbo Zhou
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
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57
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Du Y, Hultquist JF, Zhou Q, Olson A, Tseng Y, Zhang TH, Hong M, Tang K, Chen L, Meng X, McGregor MJ, Dai L, Gong D, Martin-Sancho L, Chanda S, Li X, Bensenger S, Krogan NJ, Sun R. mRNA display with library of even-distribution reveals cellular interactors of influenza virus NS1. Nat Commun 2020; 11:2449. [PMID: 32415096 PMCID: PMC7229031 DOI: 10.1038/s41467-020-16140-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 04/13/2020] [Indexed: 12/19/2022] Open
Abstract
A comprehensive examination of protein-protein interactions (PPIs) is fundamental for the understanding of cellular machineries. However, limitations in current methodologies often prevent the detection of PPIs with low abundance proteins. To overcome this challenge, we develop a mRNA display with library of even-distribution (md-LED) method that facilitates the detection of low abundance binders with high specificity and sensitivity. As a proof-of-principle, we apply md-LED to IAV NS1 protein. Complementary to AP-MS, md-LED enables us to validate previously described PPIs as well as to identify novel NS1 interactors. We show that interacting with FASN allows NS1 to directly regulate the synthesis of cellular fatty acids. We also use md-LED to identify a mutant of NS1, D92Y, results in a loss of interaction with CPSF1. The use of high-throughput sequencing as the readout for md-LED enables sensitive quantification of interactions, ultimately enabling massively parallel experimentation for the investigation of PPIs.
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Affiliation(s)
- Yushen Du
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA, 90095, USA.
- Cancer Institute, ZJU-UCLA Joint Center for Medical Education and Research, School of Medicine, Zhejiang University, Hangzhou, 310058, China.
| | - Judd F Hultquist
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, 94158, USA
- California Institute for Quantitative Biosciences, QB3, University of California, San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Quan Zhou
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA, 90095, USA
| | - Anders Olson
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA, 90095, USA
| | - Yenwen Tseng
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA, 90095, USA
| | - Tian-Hao Zhang
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA, 90095, USA
- Molecular Biology Institute, University of California, Los Angeles, CA, 90095, USA
| | - Mengying Hong
- Cancer Institute, ZJU-UCLA Joint Center for Medical Education and Research, School of Medicine, Zhejiang University, Hangzhou, 310058, China
| | - Kejun Tang
- Cancer Institute, ZJU-UCLA Joint Center for Medical Education and Research, School of Medicine, Zhejiang University, Hangzhou, 310058, China
| | - Liubo Chen
- Cancer Institute, ZJU-UCLA Joint Center for Medical Education and Research, School of Medicine, Zhejiang University, Hangzhou, 310058, China
| | - Xiangzhi Meng
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA, 90095, USA
| | - Michael J McGregor
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, 94158, USA
- California Institute for Quantitative Biosciences, QB3, University of California, San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
| | - Lei Dai
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA, 90095, USA
| | - Danyang Gong
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA, 90095, USA
| | - Laura Martin-Sancho
- Sanford Burnham Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, CA, 92037, USA
| | - Sumit Chanda
- Sanford Burnham Prebys Medical Discovery Institute, 10901 North Torrey Pines Road, La Jolla, CA, 92037, USA
| | - Xinming Li
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, L, Los Angeles, CA, 90095, USA
| | - Steve Bensenger
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA, 90095, USA
- Molecular Biology Institute, University of California, Los Angeles, CA, 90095, USA
| | - Nevan J Krogan
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, 94158, USA
- California Institute for Quantitative Biosciences, QB3, University of California, San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
| | - Ren Sun
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA, 90095, USA.
- Molecular Biology Institute, University of California, Los Angeles, CA, 90095, USA.
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58
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Host-Viral Infection Maps Reveal Signatures of Severe COVID-19 Patients. Cell 2020; 181:1475-1488.e12. [PMID: 32479746 PMCID: PMC7205692 DOI: 10.1016/j.cell.2020.05.006] [Citation(s) in RCA: 338] [Impact Index Per Article: 84.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 04/16/2020] [Accepted: 05/01/2020] [Indexed: 12/13/2022]
Abstract
Viruses are a constant threat to global health as highlighted by the current COVID-19 pandemic. Currently, lack of data underlying how the human host interacts with viruses, including the SARS-CoV-2 virus, limits effective therapeutic intervention. We introduce Viral-Track, a computational method that globally scans unmapped single-cell RNA sequencing (scRNA-seq) data for the presence of viral RNA, enabling transcriptional cell sorting of infected versus bystander cells. We demonstrate the sensitivity and specificity of Viral-Track to systematically detect viruses from multiple models of infection, including hepatitis B virus, in an unsupervised manner. Applying Viral-Track to bronchoalveloar-lavage samples from severe and mild COVID-19 patients reveals a dramatic impact of the virus on the immune system of severe patients compared to mild cases. Viral-Track detects an unexpected co-infection of the human metapneumovirus, present mainly in monocytes perturbed in type-I interferon (IFN)-signaling. Viral-Track provides a robust technology for dissecting the mechanisms of viral-infection and pathology.
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59
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Wang WC, Kuan CY, Tseng YJ, Chang CH, Liu YC, Chang YC, Hsu YC, Hsieh MK, Ou SC, Hsu WL. The Impacts of Reassortant Avian Influenza H5N2 Virus NS1 Proteins on Viral Compatibility and Regulation of Immune Responses. Front Microbiol 2020; 11:280. [PMID: 32226416 PMCID: PMC7080822 DOI: 10.3389/fmicb.2020.00280] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 02/06/2020] [Indexed: 11/25/2022] Open
Abstract
Avian influenza virus (AIV) can cause severe diseases in poultry worldwide. H6N1 AIV was the dominant enzootic subtype in 1985 in the chicken farms of Taiwan until the initial outbreak of a low pathogenic avian influenza (LPAI) H5N2 virus in 2003; thereafter, this and other LPAIs have been sporadically detected. In 2015, the outbreak of three novel H5Nx viruses of highly pathogenic avian influenza (HPAI) emerged and devastated Taiwanese chicken and waterfowl industries. The mechanism of variation in pathogenicity among these viruses is unclear; but, in light of the many biological functions of viral non-structural protein 1 (NS1), including interferon (IFN) antagonist and host range determinant, we hypothesized that NS genetic diversity contributes to AIV pathogenesis. To determine the impact of NS1 variants on viral infection dynamics, we established a reverse genetics system with the genetic backbone of the enzootic Taiwanese H6N1 for generation of reassortant AIVs carrying exogenous NS segments of three different Taiwanese H5N2 strains. We observed distinct cellular distributions of NS1 among the reassortant viruses. Moreover, exchange of the NS segment significantly influenced growth kinetics and induction of cytokines [IFN-α, IFN-β, and tumor necrosis factor alpha (TNF-α)] in an NS1- and host-specific manner. The impact of NS1 variants on viral replication appears related to their synergic effects on viral RNA-dependent RNA polymerase activity and IFN response. With these approaches, we revealed that NS1 is a key factor responsible for the diverse characteristics of AIVs in Taiwan.
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Affiliation(s)
- Wen-Chien Wang
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Chih-Ying Kuan
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Yu-Jing Tseng
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Chia-Hsuan Chang
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Yee-Chen Liu
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Yu-Chih Chang
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Yu-Chen Hsu
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Ming-Kun Hsieh
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Shan-Chia Ou
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Wei-Li Hsu
- Graduate Institute of Microbiology and Public Health, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
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60
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Kim A, Yoon D, Lim Y, Roh HJ, Kim S, Park CI, Kim HS, Cha HJ, Choi YH, Kim DH. Co-Expression Network Analysis of Spleen Transcriptome in Rock Bream ( Oplegnathus fasciatus) Naturally Infected with Rock Bream Iridovirus (RBIV). Int J Mol Sci 2020; 21:ijms21051707. [PMID: 32131541 PMCID: PMC7084886 DOI: 10.3390/ijms21051707] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Revised: 02/28/2020] [Accepted: 02/29/2020] [Indexed: 12/12/2022] Open
Abstract
Rock bream iridovirus (RBIV) is a notorious agent that causes high mortality in aquaculture of rock bream (Oplegnathus fasciatus). Despite severity of this virus, no transcriptomic studies on RBIV-infected rock bream that can provide fundamental information on protective mechanism against the virus have been reported so far. This study aimed to investigate physiological mechanisms between host and RBIV through transcriptomic changes in the spleen based on RNA-seq. Depending on infection intensity and sampling time point, fish were divided into five groups: uninfected healthy fish at week 0 as control (0C), heavy infected fish at week 0 (0H), heavy mixed RBIV and bacterial infected fish at week 0 (0MH), uninfected healthy fish at week 3 (3C), and light infected fish at week 3 (3L). We explored clusters from 35,861 genes with Fragments Per Kilo-base of exon per Million mapped fragments (FPKM) values of 0.01 or more through signed co-expression network analysis using WGCNA package. Nine of 22 modules were highly correlated with viral infection (|gene significance (GS) vs. module membership (MM) |> 0.5, p-value < 0.05). Expression patterns in selected modules were divided into two: heavy infected (0H and 0MH) and control and light-infected groups (0C, 3C, and 3L). In functional analysis, genes in two positive modules (5448 unigenes) were enriched in cell cycle, DNA replication, transcription, and translation, and increased glycolysis activity. Seven negative modules (3517 unigenes) built in this study showed significant decreases in the expression of genes in lymphocyte-mediated immune system, antigen presentation, and platelet activation, whereas there was significant increased expression of endogenous apoptosis-related genes. These changes lead to RBIV proliferation and failure of host defense, and suggests the importance of blood cells such as thrombocytes and B cells in rock bream in RBIV infection. Interestingly, a hub gene, pre-mRNA processing factor 19 (PRPF19) showing high connectivity (kME), and expression of this gene using qRT-PCR was increased in rock bream blood cells shortly after RBIV was added. It might be a potential biomarker for diagnosis and vaccine studies in rock bream against RBIV. This transcriptome approach and our findings provide new insight into the understanding of global rock bream-RBIV interactions including immune and pathogenesis mechanisms.
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Affiliation(s)
- Ahran Kim
- Department of Chemistry, Center for Proteome Biophysics, and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Korea; (A.K.); (D.Y.); (S.K.)
- Department of Aquatic Life Medicine, College of Fisheries Science, Pukyong National University, Busan 48513, Korea; (Y.L.); (H.J.R.)
| | - Dahye Yoon
- Department of Chemistry, Center for Proteome Biophysics, and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Korea; (A.K.); (D.Y.); (S.K.)
- Department of Herbal Crop Research, National Institute of Horticultural and Herbal Science, RDA, Eumseong 27709, Korea
| | - Yunjin Lim
- Department of Aquatic Life Medicine, College of Fisheries Science, Pukyong National University, Busan 48513, Korea; (Y.L.); (H.J.R.)
- Hazardous Substances Analysis Division, Gwangju Regional Office of Food and Drug Safety, Gwangju 61012, Korea
| | - Heyong Jin Roh
- Department of Aquatic Life Medicine, College of Fisheries Science, Pukyong National University, Busan 48513, Korea; (Y.L.); (H.J.R.)
| | - Suhkmann Kim
- Department of Chemistry, Center for Proteome Biophysics, and Chemistry Institute for Functional Materials, Pusan National University, Busan 46241, Korea; (A.K.); (D.Y.); (S.K.)
| | - Chan-Il Park
- Department of Marine Biology and Aquaculture, College of Marine Science, Gyeongsang National University, Tongyeong 53064, Korea;
| | - Heui-Soo Kim
- Department of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 46241, Korea;
| | - Hee-Jae Cha
- Department of Parasitology and Genetics, Kosin University College of Medicine, Busan 49267, Korea;
| | - Yung Hyun Choi
- Department of Biochemistry, College of Oriental Medicine, Dongeui University, Busan 47227, Korea;
| | - Do-Hyung Kim
- Department of Aquatic Life Medicine, College of Fisheries Science, Pukyong National University, Busan 48513, Korea; (Y.L.); (H.J.R.)
- Correspondence: ; Tel.: +82-51-629-5945
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Dubois J, Rosa-Calatrava M, Terrier O. Un mécanisme inédit de détournement viro-induit de p53 dans le contexte de l’infection par les virus influenza. Med Sci (Paris) 2020; 36:106-108. [DOI: 10.1051/medsci/2020004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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62
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Bogdanow B, Wang X, Eichelbaum K, Sadewasser A, Husic I, Paki K, Budt M, Hergeselle M, Vetter B, Hou J, Chen W, Wiebusch L, Meyer IM, Wolff T, Selbach M. The dynamic proteome of influenza A virus infection identifies M segment splicing as a host range determinant. Nat Commun 2019; 10:5518. [PMID: 31797923 PMCID: PMC6892822 DOI: 10.1038/s41467-019-13520-8] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Accepted: 11/12/2019] [Indexed: 12/16/2022] Open
Abstract
Pandemic influenza A virus (IAV) outbreaks occur when strains from animal reservoirs acquire the ability to infect and spread among humans. The molecular basis of this species barrier is incompletely understood. Here we combine metabolic pulse labeling and quantitative proteomics to monitor protein synthesis upon infection of human cells with a human- and a bird-adapted IAV strain and observe striking differences in viral protein synthesis. Most importantly, the matrix protein M1 is inefficiently produced by the bird-adapted strain. We show that impaired production of M1 from bird-adapted strains is caused by increased splicing of the M segment RNA to alternative isoforms. Strain-specific M segment splicing is controlled by the 3' splice site and functionally important for permissive infection. In silico and biochemical evidence shows that avian-adapted M segments have evolved different conserved RNA structure features than human-adapted sequences. Thus, we identify M segment RNA splicing as a viral host range determinant.
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Affiliation(s)
- Boris Bogdanow
- Max Delbrück Center for Molecular Medicine, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
- Unit 17 "Influenza and other Respiratory Viruses", Robert Koch Institut, Seestrase 10, 13353, Berlin, Germany
- Structural Interactomics, Leibniz-Forschungsinstitut für Molekulare Pharmakologie, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
| | - Xi Wang
- Max Delbrück Center for Molecular Medicine, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
- Division of Theoretical Systems Biology, German Cancer Research Center, 69120, Heidelberg, Germany
| | - Katrin Eichelbaum
- Max Delbrück Center for Molecular Medicine, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
| | - Anne Sadewasser
- Unit 17 "Influenza and other Respiratory Viruses", Robert Koch Institut, Seestrase 10, 13353, Berlin, Germany
| | - Immanuel Husic
- Max Delbrück Center for Molecular Medicine, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
| | - Katharina Paki
- Unit 17 "Influenza and other Respiratory Viruses", Robert Koch Institut, Seestrase 10, 13353, Berlin, Germany
| | - Matthias Budt
- Unit 17 "Influenza and other Respiratory Viruses", Robert Koch Institut, Seestrase 10, 13353, Berlin, Germany
| | - Martha Hergeselle
- Max Delbrück Center for Molecular Medicine, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
| | - Barbara Vetter
- Labor für Pädiatrische Molekularbiologie, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Jingyi Hou
- Max Delbrück Center for Molecular Medicine, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
| | - Wei Chen
- Max Delbrück Center for Molecular Medicine, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
- Department of Biology, Southern University of Science and Technology, Xuanyuan Road 1088, 518055, Shenzhen, China
| | - Lüder Wiebusch
- Labor für Pädiatrische Molekularbiologie, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Irmtraud M Meyer
- Max Delbrück Center for Molecular Medicine, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
- Freie Universität Berlin, Department of Biology, Chemistry, Pharmacy Institute of Chemistry and Biochemistry, Thielallee 63, 14195, Berlin, Germany
| | - Thorsten Wolff
- Unit 17 "Influenza and other Respiratory Viruses", Robert Koch Institut, Seestrase 10, 13353, Berlin, Germany
| | - Matthias Selbach
- Max Delbrück Center for Molecular Medicine, Robert-Rössle-Strasse 10, 13125, Berlin, Germany.
- Charité Universitätsmedizin Berlin, 10117, Berlin, Germany.
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63
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Carey M, Ramírez JC, Wu S, Wu H. A big data pipeline: Identifying dynamic gene regulatory networks from time-course Gene Expression Omnibus data with applications to influenza infection. Stat Methods Med Res 2019; 27:1930-1955. [PMID: 29846143 DOI: 10.1177/0962280217746719] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
A biological host response to an external stimulus or intervention such as a disease or infection is a dynamic process, which is regulated by an intricate network of many genes and their products. Understanding the dynamics of this gene regulatory network allows us to infer the mechanisms involved in a host response to an external stimulus, and hence aids the discovery of biomarkers of phenotype and biological function. In this article, we propose a modeling/analysis pipeline for dynamic gene expression data, called Pipeline4DGEData, which consists of a series of statistical modeling techniques to construct dynamic gene regulatory networks from the large volumes of high-dimensional time-course gene expression data that are freely available in the Gene Expression Omnibus repository. This pipeline has a consistent and scalable structure that allows it to simultaneously analyze a large number of time-course gene expression data sets, and then integrate the results across different studies. We apply the proposed pipeline to influenza infection data from nine studies and demonstrate that interesting biological findings can be discovered with its implementation.
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Affiliation(s)
- Michelle Carey
- 1 School of Mathematics and Statistics, University College Dublin, Dublin, Ireland
| | - Juan Camilo Ramírez
- 2 Department of Biostatistics, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | | | - Hulin Wu
- 2 Department of Biostatistics, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
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64
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Massey SE, Mishra B. Origin of biomolecular games: deception and molecular evolution. J R Soc Interface 2019; 15:rsif.2018.0429. [PMID: 30185543 DOI: 10.1098/rsif.2018.0429] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Accepted: 08/09/2018] [Indexed: 12/13/2022] Open
Abstract
Biological macromolecules encode information: some of it to endow the molecule with structural flexibility, some of it to enable molecular actions as a catalyst or a substrate, but a residual part can be used to communicate with other macromolecules. Thus, macromolecules do not need to possess information only to survive in an environment, but also to strategically interact with others by sending signals to a receiving macromolecule that can properly interpret the signal and act suitably. These sender-receiver signalling games are sustained by the information asymmetry that exists among the macromolecules. In both biochemistry and molecular evolution, the important role of information asymmetry remains largely unaddressed. Here, we provide a new unifying perspective on the impact of information symmetry between macromolecules on molecular evolutionary processes, while focusing on molecular deception. Biomolecular games arise from the ability of biological macromolecules to exert precise recognition, and their role as units of selection, meaning that they are subject to competition and cooperation with other macromolecules. Thus, signalling game theory can be used to better understand fundamental features of living systems such as molecular recognition, molecular mimicry, selfish elements and 'junk' DNA. We show how deceptive behaviour at the molecular level indicates a conflict of interest, and so provides evidence of genetic conflict. This model proposes that molecular deception is diagnostic of selfish behaviour, helping to explain the evasive behaviour of transposable elements in 'junk' DNA, for example. Additionally, in this broad review, a range of major evolutionary transitions are shown to be associated with the establishment of signalling conventions, many of which are susceptible to molecular deception. These perspectives allow us to assign rudimentary behaviour to macromolecules, and show how participation in signalling games differentiates biochemistry from abiotic chemistry.
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Affiliation(s)
- Steven E Massey
- Department of Biology, University of Puerto Rico, San Juan, PR, USA
| | - Bud Mishra
- Courant Institute, New York University, NY, USA
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65
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Zhang X, Xia Y, Yang L, He J, Li Y, Xia C. Brevilin A, a Sesquiterpene Lactone, Inhibits the Replication of Influenza A Virus In Vitro and In Vivo. Viruses 2019; 11:E835. [PMID: 31500389 PMCID: PMC6783993 DOI: 10.3390/v11090835] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 09/04/2019] [Accepted: 09/06/2019] [Indexed: 02/07/2023] Open
Abstract
With the emergence of drug-resistant strains of influenza A viruses (IAV), new antivirals are needed to supplement the existing counter measures against IAV infection. We have previously shown that brevilin A, a sesquiterpene lactone isolated from C. minima, suppresses the infection of influenza A/PR/8/34 (H1N1) in vitro. Here, we further investigate the antiviral activity and mode of action of brevilin A against different IAV subtypes. Brevilin A inhibited the replication of influenza A H1N1, H3N2, and H9N2 viruses in vitro. The suppression effect of brevilin A was observed as early as 4-8 hours post infection (hpi). Furthermore, we determined that brevilin A inhibited viral replication in three aspects, including viral RNA (vRNA) synthesis, expression of viral mRNA, and protein encoded from the M and NS segments, and nuclear export of viral ribonucleoproteins (vRNPs). The anti-IAV activity of brevilin A was further confirmed in mice. A delayed time-to-death with 50% surviving up to 14 days post infection was obtained with brevilin A (at a dose of 25 mg/kg) treated animals compared to the control cohorts. Together, these results are encouraging for the exploration of sesquiterpene lactones with similar structure to brevilin A as potential anti-influenza therapies.
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MESH Headings
- Animals
- Antiviral Agents/administration & dosage
- Crotonates/administration & dosage
- Female
- Humans
- Influenza A Virus, H1N1 Subtype/drug effects
- Influenza A Virus, H1N1 Subtype/genetics
- Influenza A Virus, H1N1 Subtype/physiology
- Influenza A Virus, H3N2 Subtype/drug effects
- Influenza A Virus, H3N2 Subtype/genetics
- Influenza A Virus, H3N2 Subtype/physiology
- Influenza A Virus, H9N2 Subtype/drug effects
- Influenza A Virus, H9N2 Subtype/genetics
- Influenza A Virus, H9N2 Subtype/physiology
- Influenza, Human/drug therapy
- Influenza, Human/virology
- Mice
- Mice, Inbred BALB C
- Sesquiterpenes/administration & dosage
- Virus Replication/drug effects
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Affiliation(s)
- Xiaoli Zhang
- Department of Biotechnology, College of Life Science and Technology, Jinan University, Guangzhou 510632, Guangdong, China.
| | - Yiping Xia
- Department of Biotechnology, College of Life Science and Technology, Jinan University, Guangzhou 510632, Guangdong, China
| | - Li Yang
- Department of Biotechnology, College of Life Science and Technology, Jinan University, Guangzhou 510632, Guangdong, China
| | - Jun He
- Institute of Laboratory Animal Science, Jinan University, Guangzhou 510632, Guangdong, China
| | - Yaolan Li
- Institute of Traditional Chinese Medicine and Natural Products, Jinan University, Guangzhou 510632, Guangdong, China
| | - Chuan Xia
- Department of Biotechnology, College of Life Science and Technology, Jinan University, Guangzhou 510632, Guangdong, China.
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66
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Ren X, Yu Y, Li H, Huang J, Zhou A, Liu S, Hu P, Li B, Qi W, Liao M. Avian Influenza A Virus Polymerase Recruits Cellular RNA Helicase eIF4A3 to Promote Viral mRNA Splicing and Spliced mRNA Nuclear Export. Front Microbiol 2019; 10:1625. [PMID: 31379779 PMCID: PMC6646474 DOI: 10.3389/fmicb.2019.01625] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 07/01/2019] [Indexed: 01/16/2023] Open
Abstract
The influenza A virus replicates in a broad range of avian and mammalian species by hijacking cellular factors and processes. Avian influenza A viruses (AIVs) generally propagated poorly in mammalian cells, but some mutants of virus-encoded RNA polymerase components, especially PB2 subunit, can overcome host restriction. Host factors associated with PB2 may be essential for efficient AIV replication in mammalian cells. Here, we infected human cells with the PB2 Flag-tagged replication-competent recombinant AIV and identified cellular proteins that coprecipitate with PB2 protein by mass spectrometry. We confirmed one of the coprecipitating host factors, DEAD-box protein eIF4A3, that interacts with viral PB2, PB1, and NP proteins. Depletion of endogenous eIF4A3 significantly reduced virus replication. Later studies showed that eIF4A3 is essential for viral RNA polymerase activity and viral RNAs synthesis. Upon systematic dissection of the influenza virus progeny mRNA generation, from pre-mRNA processing to nuclear export, we found that the depletion of eIF4A3 resulted in significant defects in the ratio of M2 to M1 and NS2 to NS1, and the proportion of viral spliced mRNA in the nucleus increased, indicating that eIF4A3 plays a significant function in viral nascent intron mRNA splicing and spliced mRNA (M2 and NS2) nuclear export. Additionally, we confirmed that in specific deletion of eIF4A3, the synthesis of reduced NS2 can significantly impair neo-synthetized viral ribonucleoprotein (vRNP) nuclear export. Taken together, our findings revealed that eIF4A3 is a key mediator of AIV polymerase activity, mRNA splicing, and spliced mRNA nuclear export.
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Affiliation(s)
- Xingxing Ren
- National Avian Influenza Para-Reference Laboratory (Guangzhou), College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.,National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Yuandi Yu
- National Avian Influenza Para-Reference Laboratory (Guangzhou), College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.,National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Huanan Li
- National Avian Influenza Para-Reference Laboratory (Guangzhou), College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.,National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Jinyu Huang
- National Avian Influenza Para-Reference Laboratory (Guangzhou), College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.,National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Aobaixue Zhou
- National Avian Influenza Para-Reference Laboratory (Guangzhou), College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.,National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Shukai Liu
- National Avian Influenza Para-Reference Laboratory (Guangzhou), College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.,National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Pingsheng Hu
- National Avian Influenza Para-Reference Laboratory (Guangzhou), College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.,National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Bo Li
- National Avian Influenza Para-Reference Laboratory (Guangzhou), College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.,National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Wenbao Qi
- National Avian Influenza Para-Reference Laboratory (Guangzhou), College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.,National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.,Key Laboratory of Zoonosis, Ministry of Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.,Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou, China
| | - Ming Liao
- National Avian Influenza Para-Reference Laboratory (Guangzhou), College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.,National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.,Key Laboratory of Zoonosis, Ministry of Agriculture, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.,Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou, China
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67
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Integrated Transcriptomic and Proteomic Analysis of Red Blood Cells from Rainbow Trout Challenged with VHSV Point Towards Novel Immunomodulant Targets. Vaccines (Basel) 2019; 7:vaccines7030063. [PMID: 31324030 PMCID: PMC6789484 DOI: 10.3390/vaccines7030063] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 06/29/2019] [Accepted: 07/01/2019] [Indexed: 12/15/2022] Open
Abstract
Teleost red blood cells (RBCs) are nucleated and therefore can propagate cellular responses to exogenous stimuli. RBCs can mount an immune response against a variety of fish viruses, including the viral septicemia hemorrhagic virus (VHSV), which is one of the most prevalent fish viruses resulting in aquaculture losses. In this work, RBCs from blood and head kidney samples of rainbow trout challenged with VHSV were analyzed via transcriptomic and proteomic analyses. We detected an overrepresentation of differentially expressed genes (DEGs) related to the type I interferon response and signaling in RBCs from the head kidney and related to complement activation in RBCs from blood. Antigen processing and presentation of peptide antigen was overrepresented in RBCs from both tissues. DEGs shared by both tissues showed an opposite expression profile. In summary, this work has demonstrated that teleost RBCs can modulate the immune response during an in vivo viral infection, thus implicating RBCs as cell targets for the development of novel immunomodulants.
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68
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Kovanich D, Saisawang C, Sittipaisankul P, Ramphan S, Kalpongnukul N, Somparn P, Pisitkun T, Smith DR. Analysis of the Zika and Japanese Encephalitis Virus NS5 Interactomes. J Proteome Res 2019; 18:3203-3218. [PMID: 31199156 DOI: 10.1021/acs.jproteome.9b00318] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Mosquito-borne flaviviruses, including dengue virus (DENV), Japanese encephalitis virus (JEV), and Zika virus (ZIKV), are major human pathogens. Among the flaviviral proteins, the nonstructural protein 5 (NS5) is the largest, most conserved, and major enzymatic component of the viral replication complex. Disruption of the common key NS5-host protein-protein interactions critical for viral replication could aid in the development of broad-spectrum antiflaviviral therapeutics. Hundreds of NS5 interactors have been identified, but these are mostly DENV-NS5 interactors. To this end, we sought to investigate the JEV- and ZIKV-NS5 interactomes using EGFP immunoprecipitation with label-free quantitative mass spectrometry analysis. We report here a total of 137 NS5 interactors with a significant enrichment of spliceosomal and spliceosomal-associated proteins. The transcription complex Paf1C and phosphatase 6 were identified as common NS5-associated complexes. PAF1 was shown to play opposite roles in JEV and ZIKV infections. Additionally, we validated several NS5 targets and proposed their possible roles in infection. These include lipid-shuttling proteins OSBPL9 and OSBPL11, component of RNAP3 transcription factor TFIIIC, minichromosome maintenance, and cochaperone PAQosome. Mining this data set, our study expands the current interaction landscape of NS5 and uncovers several NS5 targets that are new to flavivirus biology.
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Affiliation(s)
- Duangnapa Kovanich
- Institute of Molecular Biosciences, Mahidol University , Nakhon Pathom , Thailand
| | - Chonticha Saisawang
- Institute of Molecular Biosciences, Mahidol University , Nakhon Pathom , Thailand
| | | | - Suwipa Ramphan
- Institute of Molecular Biosciences, Mahidol University , Nakhon Pathom , Thailand
| | - Nuttiya Kalpongnukul
- Center of Excellence in Systems Biology, Research affairs, Faculty of Medicine , Chulalongkorn University , Bangkok , Thailand
| | - Poorichaya Somparn
- Center of Excellence in Systems Biology, Research affairs, Faculty of Medicine , Chulalongkorn University , Bangkok , Thailand
| | - Trairak Pisitkun
- Center of Excellence in Systems Biology, Research affairs, Faculty of Medicine , Chulalongkorn University , Bangkok , Thailand
| | - Duncan R Smith
- Institute of Molecular Biosciences, Mahidol University , Nakhon Pathom , Thailand
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69
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Ackerman EE, Alcorn JF, Hase T, Shoemaker JE. A dual controllability analysis of influenza virus-host protein-protein interaction networks for antiviral drug target discovery. BMC Bioinformatics 2019; 20:297. [PMID: 31159726 PMCID: PMC6545738 DOI: 10.1186/s12859-019-2917-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Accepted: 05/28/2019] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Host factors of influenza virus replication are often found in key topological positions within protein-protein interaction networks. This work explores how protein states can be manipulated through controllability analysis: the determination of the minimum manipulation needed to drive the cell system to any desired state. Here, we complete a two-part controllability analysis of two protein networks: a host network representing the healthy cell state and an influenza A virus-host network representing the infected cell state. In this context, controllability analyses aim to identify key regulating host factors of the infected cell's progression. This knowledge can be utilized in further biological analysis to understand disease dynamics and isolate proteins for study as drug target candidates. RESULTS Both topological and controllability analyses provide evidence of wide-reaching network effects stemming from the addition of viral-host protein interactions. Virus interacting and driver host proteins are significant both topologically and in controllability, therefore playing important roles in cell behavior during infection. Functional analysis finds overlap of results with previous siRNA studies of host factors involved in influenza replication, NF-kB pathway and infection relevance, and roles as interferon regulating genes. 24 proteins are identified as holding regulatory roles specific to the infected cell by measures of topology, controllability, and functional role. These proteins are recommended for further study as potential antiviral drug targets. CONCLUSIONS Seasonal outbreaks of influenza A virus are a major cause of illness and death around the world each year with a constant threat of pandemic infection. This research aims to increase the efficiency of antiviral drug target discovery using existing protein-protein interaction data and network analysis methods. These results are beneficial to future studies of influenza virus, both experimental and computational, and provide evidence that the combination of topology and controllability analyses may be valuable for future efforts in drug target discovery.
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Affiliation(s)
- Emily E Ackerman
- Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - John F Alcorn
- Division of Pulmonary Medicine, Allergy, and Immunology, Department of Pediatrics, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA
| | - Takeshi Hase
- The Systems Biology Institute, Saisei Ikedayama Bldg. 5-10-25 Higashi Gotanda, Shinagawa, Tokyo, 141-0022, Japan
- Medical Data Sciences Office, Tokyo Medical and Dental University, M&D Tower 20F, 1-5-45 Yushima, Bunkyo, Tokyo, 113-8510, Japan
| | - Jason E Shoemaker
- Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
- The McGowan Institute for Regenerative Medicine (MIRM), University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
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Cross ST, Michalski D, Miller MR, Wilusz J. RNA regulatory processes in RNA virus biology. WILEY INTERDISCIPLINARY REVIEWS-RNA 2019; 10:e1536. [PMID: 31034160 PMCID: PMC6697219 DOI: 10.1002/wrna.1536] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 04/02/2019] [Indexed: 12/13/2022]
Abstract
Numerous post‐transcriptional RNA processes play a major role in regulating the quantity, quality and diversity of gene expression in the cell. These include RNA processing events such as capping, splicing, polyadenylation and modification, but also aspects such as RNA localization, decay, translation, and non‐coding RNA‐associated regulation. The interface between the transcripts of RNA viruses and the various RNA regulatory processes in the cell, therefore, has high potential to significantly impact virus gene expression, regulation, cytopathology and pathogenesis. Furthermore, understanding RNA biology from the perspective of an RNA virus can shed considerable light on the broad impact of these post‐transcriptional processes in cell biology. Thus the goal of this article is to provide an overview of the richness of cellular RNA biology and how RNA viruses use, usurp and/or avoid the associated machinery to impact the outcome of infection. This article is categorized under:RNA in Disease and Development > RNA in Disease
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Affiliation(s)
- Shaun T Cross
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado
| | - Daniel Michalski
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado
| | - Megan R Miller
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado
| | - Jeffrey Wilusz
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado
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Understanding Human-Virus Protein-Protein Interactions Using a Human Protein Complex-Based Analysis Framework. mSystems 2019; 4:mSystems00303-18. [PMID: 30984872 PMCID: PMC6456672 DOI: 10.1128/msystems.00303-18] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Accepted: 03/20/2019] [Indexed: 12/29/2022] Open
Abstract
Although human protein complexes have been reported to be directly related to viral infection, previous studies have not systematically investigated human-virus PPIs from the perspective of human protein complexes. To the best of our knowledge, we have presented here the most comprehensive and in-depth analysis of human-virus PPIs in the context of VTCs. Our findings confirm that human protein complexes are heavily involved in viral infection. The observed preferences of virally targeted subunits within complexes reflect the mechanisms used by viruses to manipulate host protein complexes. The identified periodic expression patterns of the VTCs and the corresponding candidates could increase our understanding of how viruses manipulate the host cell cycle. Finally, our proposed conceptual application framework of VTCs and the developed VTcomplex could provide new hints to develop antiviral drugs for the clinical treatment of viral infections. Computational analysis of human-virus protein-protein interaction (PPI) data is an effective way toward systems understanding the molecular mechanism of viral infection. Previous work has mainly focused on characterizing the global properties of viral targets within the entire human PPI network. In comparison, how viruses manipulate host local networks (e.g., human protein complexes) has been rarely addressed from a computational perspective. By mainly integrating information about human-virus PPIs, human protein complexes, and gene expression profiles, we performed a large-scale analysis of virally targeted complexes (VTCs) related to five common human-pathogenic viruses, including influenza A virus subtype H1N1, human immunodeficiency virus type 1, Epstein-Barr virus, human papillomavirus, and hepatitis C virus. We found that viral targets are enriched within human protein complexes. We observed in the context of VTCs that viral targets tended to have a high within-complex degree and to be scaffold and housekeeping proteins. Complexes that are essential for viral propagation were simultaneously targeted by multiple viruses. We characterized the periodic expression patterns of VTCs and provided the corresponding candidates that may be involved in the manipulation of the host cell cycle. As a potential application of the current analysis, we proposed a VTC-based antiviral drug target discovery strategy. Finally, we developed an online VTC-related platform known as VTcomplex (http://zzdlab.com/vtcomplex/index.php or http://systbio.cau.edu.cn/vtcomplex/index.php). We hope that the current analysis can provide new insights into the global landscape of human-virus PPIs at the VTC level and that the developed VTcomplex will become a vital resource for the community. IMPORTANCE Although human protein complexes have been reported to be directly related to viral infection, previous studies have not systematically investigated human-virus PPIs from the perspective of human protein complexes. To the best of our knowledge, we have presented here the most comprehensive and in-depth analysis of human-virus PPIs in the context of VTCs. Our findings confirm that human protein complexes are heavily involved in viral infection. The observed preferences of virally targeted subunits within complexes reflect the mechanisms used by viruses to manipulate host protein complexes. The identified periodic expression patterns of the VTCs and the corresponding candidates could increase our understanding of how viruses manipulate the host cell cycle. Finally, our proposed conceptual application framework of VTCs and the developed VTcomplex could provide new hints to develop antiviral drugs for the clinical treatment of viral infections.
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The Nonstructural NS1 Protein of Influenza Viruses Modulates TP53 Splicing through Host Factor CPSF4. J Virol 2019; 93:JVI.02168-18. [PMID: 30651364 DOI: 10.1128/jvi.02168-18] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 01/04/2019] [Indexed: 12/14/2022] Open
Abstract
Influenza A viruses (IAV) are known to modulate and "hijack" several cellular host mechanisms, including gene splicing and RNA maturation machineries. These modulations alter host cellular responses and enable an optimal expression of viral products throughout infection. The interplay between the host protein p53 and IAV, in particular through the viral nonstructural protein NS1, has been shown to be supportive for IAV replication. However, it remains unknown whether alternatively spliced isoforms of p53, known to modulate p53 transcriptional activity, are affected by IAV infection and contribute to IAV replication. Using a TP53 minigene, which mimics intron 9 alternative splicing, we have shown here that the NS1 protein of IAV changes the expression pattern of p53 isoforms. Our results demonstrate that CPSF4 (cellular protein cleavage and polyadenylation specificity factor 4) independently and the interaction between NS1 and CPSF4 modulate the alternative splicing of TP53 transcripts, which may result in the differential activation of p53-responsive genes. Finally, we report that CPSF4 and most likely beta and gamma spliced p53 isoforms affect both viral replication and IAV-associated type I interferon secretion. All together, our data show that cellular p53 and CPSF4 factors, both interacting with viral NS1, have a crucial role during IAV replication that allows IAV to interact with and alter the expression of alternatively spliced p53 isoforms in order to regulate the cellular innate response, especially via type I interferon secretion, and perform efficient viral replication.IMPORTANCE Influenza A viruses (IAV) constitute a major public health issue, causing illness and death in high-risk populations during seasonal epidemics or pandemics. IAV are known to modulate cellular pathways to promote their replication and avoid immune restriction via the targeting of several cellular proteins. One of these proteins, p53, is a master regulator involved in a large panel of biological processes, including cell cycle arrest, apoptosis, or senescence. This "cellular gatekeeper" is also involved in the control of viral infections, and viruses have developed a wide diversity of mechanisms to modulate/hijack p53 functions to achieve an optimal replication in their hosts. Our group and others have previously shown that p53 activity is finely modulated by different multilevel mechanisms during IAV infection. Here, we characterized IAV nonstructural protein NS1 and the cellular factor CPSF4 as major partners involved in the IAV-induced modulation of the TP53 alternative splicing that was associated with a strong modulation of p53 activity and notably the p53-mediated antiviral response.
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Splicing-Dependent Subcellular Targeting of Borna Disease Virus Nucleoprotein Isoforms. J Virol 2019; 93:JVI.01621-18. [PMID: 30541858 DOI: 10.1128/jvi.01621-18] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 11/14/2018] [Indexed: 12/17/2022] Open
Abstract
Targeting of viral proteins to specific subcellular compartments is a fundamental step for viruses to achieve successful replication in infected cells. Borna disease virus 1 (BoDV-1), a nonsegmented, negative-strand RNA virus, uniquely replicates and persists in the cell nucleus. Here, it is demonstrated that BoDV nucleoprotein (N) transcripts undergo mRNA splicing to generate truncated isoforms. In combination with alternative usage of translation initiation sites, the N gene potentially expresses at least six different isoforms, which exhibit diverse intracellular localizations, including the nucleoplasm, cytoplasm, and endoplasmic reticulum (ER), as well as intranuclear viral replication sites. Interestingly, the ER-targeting signal peptide in N is exposed by removing the intron by mRNA splicing. Furthermore, the spliced isoforms inhibit viral polymerase activity. Consistently, recombinant BoDVs lacking the N-splicing signals acquire the ability to replicate faster than wild-type virus in cultured cells, suggesting that N isoforms created by mRNA splicing negatively regulate BoDV replication. These results provided not only the mechanism of how mRNA splicing generates viral proteins that have distinct functions but also a novel strategy for replication control of RNA viruses using isoforms with different subcellular localizations.IMPORTANCE Borna disease virus (BoDV) is a highly neurotropic RNA virus that belongs to the orthobornavirus genus. A zoonotic orthobornavirus that is genetically related to BoDV has recently been identified in squirrels, thus increasing the importance of understanding the replication and pathogenesis of orthobornaviruses. BoDV replicates in the nucleus and uses alternative mRNA splicing to express viral proteins. However, it is unknown whether the virus uses splicing to create protein isoforms with different functions. The present study demonstrated that the nucleoprotein transcript undergoes splicing and produces four new isoforms in coordination with alternative usage of translation initiation codons. The spliced isoforms showed a distinct intracellular localization, including in the endoplasmic reticulum, and recombinant viruses lacking the splicing signals replicated more efficiently than the wild type. The results provided not only a new regulation of BoDV replication but also insights into how RNA viruses produce protein isoforms from small genomes.
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Global Interactomics Connect Nuclear Mitotic Apparatus Protein NUMA1 to Influenza Virus Maturation. Viruses 2018; 10:v10120731. [PMID: 30572664 PMCID: PMC6316800 DOI: 10.3390/v10120731] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Revised: 12/18/2018] [Accepted: 12/18/2018] [Indexed: 11/17/2022] Open
Abstract
Influenza A virus (IAV) infections remain a major human health threat. IAV has enormous genetic plasticity and can rapidly escape virus-targeted anti-viral strategies. Thus, there is increasing interest to identify host proteins and processes the virus requires for replication and maturation. The IAV non-structural protein 1 (NS1) is a critical multifunctional protein that is expressed to high levels in infected cells. Host proteins that interact with NS1 may serve as ideal targets for attenuating IAV replication. We previously developed and characterized broadly cross-reactive anti-NS1 monoclonal antibodies. For the current study, we used these mAbs to co-immunoprecipitate native IAV NS1 and interacting host proteins; 183 proteins were consistently identified in this NS1 interactome study, 124 of which have not been previously reported. RNAi screens identified 11 NS1-interacting host factors as vital for IAV replication. Knocking down one of these, nuclear mitotic apparatus protein 1 (NUMA1), dramatically reduced IAV replication. IAV genomic transcription and translation were not inhibited but transport of viral structural proteins to the cell membrane was hindered during maturation steps in NUMA1 knockdown (KD) cells.
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Abstract
Viruses utilize a number of host factors in order to carry out their replication cycles. Influenza A virus (IAV) and human respiratory syncytial virus (RSV) both infect the tissues of the respiratory tract, and as such we hypothesize that they might require similar host factors. Several published genome-wide screens have identified putative IAV host factors; however, there is significant discordance between their hits. In order to build on this work, we integrated a variety of "OMICS" data sources using two complementary network analyses, yielding 51 genes enriched for both IAV and RSV replication. We designed a targeted small interfering RNA (siRNA)-based assay to screen these genes against IAV under robust conditions and identified 13 genes supported by two IAV subtypes in both primary and transformed human lung cells. One of these hits, RNA binding motif 14 (RBM14), was validated as a required host factor and furthermore was shown to relocalize to the nucleolus upon IAV infection but not with other viruses. Additionally, the IAV NS1 protein is both necessary and sufficient for RBM14 relocalization, and relocalization also requires the double-stranded RNA (dsRNA) binding capacity of NS1. This work reports the discovery of a new host requirement for IAV replication and exposes a novel example of interplay between IAV NS1 and the host protein, RBM14.IMPORTANCE Influenza A virus (IAV) and respiratory syncytial virus (RSV) present major global disease burdens. There are high economic costs associated with morbidity as well as significant mortality rates, especially in developing countries, in children, and in the elderly. There are currently limited therapeutic options for these viruses, which underscores the need for novel research into virus biology that may lead to the discovery of new therapeutic approaches. This work extends existing research into host factors involved in virus replication and explores the interaction between IAV and one such host factor, RBM14. Further study to fully characterize this interaction may elucidate novel mechanisms used by the virus during its replication cycle and open new avenues for understanding virus biology.
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76
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Hird SM, Ganz H, Eisen JA, Boyce WM. The Cloacal Microbiome of Five Wild Duck Species Varies by Species and Influenza A Virus Infection Status. mSphere 2018; 3:e00382-18. [PMID: 30355662 PMCID: PMC6200988 DOI: 10.1128/msphere.00382-18] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Accepted: 09/26/2018] [Indexed: 02/08/2023] Open
Abstract
Waterfowl, especially ducks of the genus Anas, are natural reservoir species for influenza A virus (IAV). Duck populations contain nearly all the known diversity of IAVs, and the birds are asymptomatic to infection. Previous work established that IAV infection status is correlated with changes in the cloacal microbiome in juvenile mallards. Here, we analyze five Anas species to determine whether these duck species have similar IAV+ and IAV- cloacal microbiomes, or if the relationships among a host, influenza virus, and the microbiome are species specific. We assessed taxonomic composition of the microbiome, alpha diversity, and beta diversity and found very few patterns related to microbiome and infection status across species, while detecting strong differences within species. A host species-specific signal was stronger in IAV- ducks than IAV+ ducks, and the effect size of host species on the microbiome was three times higher in IAV- birds than IAV+ birds. The mallards and the northern shovelers, the species with highest sample sizes but also with differing feeding ecology, showed especially contrasting patterns in microbiome composition, alpha diversity, and beta diversity. Our results indicate that the microbiome may have a unique relationship with influenza virus infection at the species level.IMPORTANCE Waterfowl are natural reservoir species for influenza A virus (IAV). Thus, they maintain high levels of pathogen diversity, are asymptomatic to the infection, and also contribute to the risk of a global influenza pandemic. An individual's microbiome is a critical part in how a vertebrate manages pathogens and illness. Here, we describe the cloacal microbiome of 300 wild ducks, from five species (four with previously undescribed microbiomes), including both IAV-negative and IAV-positive individuals. We demonstrate that there is not one consistent "flu-like" microbiome or response to flu across species. Individual duck species appear to have unique relationships between their microbiomes and IAV, and IAV-negative birds have a stronger tie to host species than the IAV-positive birds. In a broad context, understanding the role of the microbiome in IAV reservoir species may have future implications for avian disease management.
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Affiliation(s)
- Sarah M Hird
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, Connecticut, USA
| | - Holly Ganz
- AnimalBiome, Oakland, California, USA
- Genome Center, University of California, Davis, Davis, California, USA
| | - Jonathan A Eisen
- Genome Center, University of California, Davis, Davis, California, USA
| | - Walter M Boyce
- Pathology, Microbiology and Immunology, University of California, Davis, Davis, California, USA
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Gao Z, Hu J, Wang X, Yang Q, Liang Y, Ma C, Liu D, Liu K, Hao X, Gu M, Liu X, Jiao XA, Liu X. The PA-interacting host protein nucleolin acts as an antiviral factor during highly pathogenic H5N1 avian influenza virus infection. Arch Virol 2018; 163:2775-2786. [PMID: 29974255 DOI: 10.1007/s00705-018-3926-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 06/19/2018] [Indexed: 01/08/2023]
Abstract
Polymerase acidic (PA) protein is a multifunctional regulator of influenza A virus (IAV) replication and pathogenesis. In a previous study, we reported that nucleolin (NCL) is a novel PA-interacting host protein. In this study, we further explored the role of NCL during highly pathogenic H5N1 avian influenza virus infection. We found that depletion of endogenous NCL in mammalian cells by siRNA targeting during H5N1 infection resulted in significantly increased viral polymerase activity, elevated viral mRNA, cRNA and vRNA synthesis, accelerated viral replication, and enhanced apoptosis and necrosis. Moreover, siRNA silencing of NCL significantly exacerbated the inflammatory response, resulting in increased secretion of IL-6, TNF-α, TNF-β, CCL-4, CCL-8, IFN-α, IFN-β and IFN-γ. Conversely, overexpression of NCL significantly decreased IAV replication. Collectively, these data show that NCL acts as a novel potential antiviral factor during H5N1 infection. Further studies exploring the antiviral mechanisms of NCL may accelerate the development of new anti-influenza drugs.
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Affiliation(s)
- Zhao Gao
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, College of Veterinary Medicine, Yangzhou University, 48 East Wenhui Road, Yangzhou, 225009, Jiangsu, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agri-food Safety and Quality, Ministry of Agriculture of China (26116120), Yangzhou University, Yangzhou, China
| | - Jiao Hu
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, College of Veterinary Medicine, Yangzhou University, 48 East Wenhui Road, Yangzhou, 225009, Jiangsu, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agri-food Safety and Quality, Ministry of Agriculture of China (26116120), Yangzhou University, Yangzhou, China
| | - Xiaoquan Wang
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, College of Veterinary Medicine, Yangzhou University, 48 East Wenhui Road, Yangzhou, 225009, Jiangsu, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agri-food Safety and Quality, Ministry of Agriculture of China (26116120), Yangzhou University, Yangzhou, China
| | - Qian Yang
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, College of Veterinary Medicine, Yangzhou University, 48 East Wenhui Road, Yangzhou, 225009, Jiangsu, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agri-food Safety and Quality, Ministry of Agriculture of China (26116120), Yangzhou University, Yangzhou, China
| | - Yanyan Liang
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, College of Veterinary Medicine, Yangzhou University, 48 East Wenhui Road, Yangzhou, 225009, Jiangsu, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agri-food Safety and Quality, Ministry of Agriculture of China (26116120), Yangzhou University, Yangzhou, China
| | - Chunxi Ma
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, College of Veterinary Medicine, Yangzhou University, 48 East Wenhui Road, Yangzhou, 225009, Jiangsu, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agri-food Safety and Quality, Ministry of Agriculture of China (26116120), Yangzhou University, Yangzhou, China
| | - Dong Liu
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, College of Veterinary Medicine, Yangzhou University, 48 East Wenhui Road, Yangzhou, 225009, Jiangsu, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agri-food Safety and Quality, Ministry of Agriculture of China (26116120), Yangzhou University, Yangzhou, China
| | - Kaituo Liu
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, College of Veterinary Medicine, Yangzhou University, 48 East Wenhui Road, Yangzhou, 225009, Jiangsu, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agri-food Safety and Quality, Ministry of Agriculture of China (26116120), Yangzhou University, Yangzhou, China
| | - Xiaoli Hao
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, College of Veterinary Medicine, Yangzhou University, 48 East Wenhui Road, Yangzhou, 225009, Jiangsu, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agri-food Safety and Quality, Ministry of Agriculture of China (26116120), Yangzhou University, Yangzhou, China
| | - Min Gu
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, College of Veterinary Medicine, Yangzhou University, 48 East Wenhui Road, Yangzhou, 225009, Jiangsu, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agri-food Safety and Quality, Ministry of Agriculture of China (26116120), Yangzhou University, Yangzhou, China
| | - Xiaowen Liu
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, College of Veterinary Medicine, Yangzhou University, 48 East Wenhui Road, Yangzhou, 225009, Jiangsu, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agri-food Safety and Quality, Ministry of Agriculture of China (26116120), Yangzhou University, Yangzhou, China
| | - Xin-An Jiao
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agri-food Safety and Quality, Ministry of Agriculture of China (26116120), Yangzhou University, Yangzhou, China
| | - Xiufan Liu
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, College of Veterinary Medicine, Yangzhou University, 48 East Wenhui Road, Yangzhou, 225009, Jiangsu, China.
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China.
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agri-food Safety and Quality, Ministry of Agriculture of China (26116120), Yangzhou University, Yangzhou, China.
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Strand-Specific Dual RNA Sequencing of Bronchial Epithelial Cells Infected with Influenza A/H3N2 Viruses Reveals Splicing of Gene Segment 6 and Novel Host-Virus Interactions. J Virol 2018; 92:JVI.00518-18. [PMID: 29976658 DOI: 10.1128/jvi.00518-18] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 05/24/2018] [Indexed: 02/08/2023] Open
Abstract
Host-influenza virus interplay at the transcript level has been extensively characterized in epithelial cells. Yet, there are no studies that simultaneously characterize human host and influenza A virus (IAV) genomes. We infected human bronchial epithelial BEAS-2B cells with two seasonal IAV/H3N2 strains, Brisbane/10/07 and Perth/16/09 (reference strains for past vaccine seasons) and the well-characterized laboratory strain Udorn/307/72. Strand-specific RNA sequencing (RNA-seq) of the infected BEAS-2B cells allowed for simultaneous analysis of host and viral transcriptomes, in addition to pathogen genomes, to reveal changes in mRNA expression and alternative splicing (AS). In general, patterns of global and immune gene expression induced by the three IAVs were mostly shared. However, AS of host transcripts and small nuclear RNAs differed between the seasonal and laboratory strains. Analysis of viral transcriptomes showed deletions of the polymerase components (defective interfering-like RNAs) within the genome. Surprisingly, we found that the neuraminidase gene undergoes AS and that the splicing event differs between seasonal and laboratory strains. Our findings reveal novel elements of the host-virus interaction and highlight the importance of RNA-seq in identifying molecular changes at the genome level that may contribute to shaping RNA-based innate immunity.IMPORTANCE The use of massively parallel RNA sequencing (RNA-seq) has revealed insights into human and pathogen genomes and their evolution. Dual RNA-seq allows simultaneous dissection of host and pathogen genomes and strand-specific RNA-seq provides information about the polarity of the RNA. This is important in the case of negative-strand RNA viruses like influenza virus, which generate positive (complementary and mRNA) and negative-strand RNAs (genome) that differ in their potential to trigger innate immunity. Here, we characterize interactions between human bronchial epithelial cells and three influenza A/H3N2 strains using strand-specific dual RNA-seq. We focused on this subtype because of its epidemiological importance in causing significant morbidity and mortality during influenza epidemics. We report novel elements that differ between seasonal and laboratory strains highlighting the complexity of the host-virus interplay at the RNA level.
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79
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Dou D, Revol R, Östbye H, Wang H, Daniels R. Influenza A Virus Cell Entry, Replication, Virion Assembly and Movement. Front Immunol 2018; 9:1581. [PMID: 30079062 PMCID: PMC6062596 DOI: 10.3389/fimmu.2018.01581] [Citation(s) in RCA: 295] [Impact Index Per Article: 49.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 06/26/2018] [Indexed: 12/20/2022] Open
Abstract
Influenza viruses replicate within the nucleus of the host cell. This uncommon RNA virus trait provides influenza with the advantage of access to the nuclear machinery during replication. However, it also increases the complexity of the intracellular trafficking that is required for the viral components to establish a productive infection. The segmentation of the influenza genome makes these additional trafficking requirements especially challenging, as each viral RNA (vRNA) gene segment must navigate the network of cellular membrane barriers during the processes of entry and assembly. To accomplish this goal, influenza A viruses (IAVs) utilize a combination of viral and cellular mechanisms to coordinate the transport of their proteins and the eight vRNA gene segments in and out of the cell. The aim of this review is to present the current mechanistic understanding for how IAVs facilitate cell entry, replication, virion assembly, and intercellular movement, in an effort to highlight some of the unanswered questions regarding the coordination of the IAV infection process.
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Affiliation(s)
- Dan Dou
- Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Rebecca Revol
- Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Henrik Östbye
- Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Hao Wang
- Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Robert Daniels
- Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
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Yip TF, Selim ASM, Lian I, Lee SMY. Advancements in Host-Based Interventions for Influenza Treatment. Front Immunol 2018; 9:1547. [PMID: 30042762 PMCID: PMC6048202 DOI: 10.3389/fimmu.2018.01547] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Accepted: 06/22/2018] [Indexed: 12/15/2022] Open
Abstract
Influenza is a major acute respiratory infection that causes mortality and morbidity worldwide. Two classes of conventional antivirals, M2 ion channel blockers and neuraminidase inhibitors, are mainstays in managing influenza disease to lessen symptoms while minimizing hospitalization and death in patients with severe influenza. However, the development of viral resistance to both drug classes has become a major public health concern. Vaccines are prophylaxis mainstays but are limited in efficacy due to the difficulty in matching predicted dominant viral strains to circulating strains. As such, other potential interventions are being explored. Since viruses rely on host cellular functions to replicate, recent therapeutic developments focus on targeting host factors involved in virus replication. Besides controlling virus replication, potential targets for drug development include controlling virus-induced host immune responses such as the recently suggested involvement of innate lymphoid cells and NADPH oxidases in influenza virus pathogenesis and immune cell metabolism. In this review, we will discuss the advancements in novel host-based interventions for treating influenza disease.
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Affiliation(s)
- Tsz-Fung Yip
- HKU-Pasteur Research Pole, School of Public Health, The University of Hong Kong, Hong Kong, Hong Kong
| | - Aisha Sami Mohammed Selim
- HKU-Pasteur Research Pole, School of Public Health, The University of Hong Kong, Hong Kong, Hong Kong
| | - Ida Lian
- School of Life Sciences and Chemical Technology, Ngee Ann Polytechnic, Singapore, Singapore
| | - Suki Man-Yan Lee
- HKU-Pasteur Research Pole, School of Public Health, The University of Hong Kong, Hong Kong, Hong Kong
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81
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Chaisri U, Chaicumpa W. Evolution of Therapeutic Antibodies, Influenza Virus Biology, Influenza, and Influenza Immunotherapy. BIOMED RESEARCH INTERNATIONAL 2018; 2018:9747549. [PMID: 29998138 PMCID: PMC5994580 DOI: 10.1155/2018/9747549] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 03/19/2018] [Accepted: 03/31/2018] [Indexed: 02/07/2023]
Abstract
This narrative review article summarizes past and current technologies for generating antibodies for passive immunization/immunotherapy. Contemporary DNA and protein technologies have facilitated the development of engineered therapeutic monoclonal antibodies in a variety of formats according to the required effector functions. Chimeric, humanized, and human monoclonal antibodies to antigenic/epitopic myriads with less immunogenicity than animal-derived antibodies in human recipients can be produced in vitro. Immunotherapy with ready-to-use antibodies has gained wide acceptance as a powerful treatment against both infectious and noninfectious diseases. Influenza, a highly contagious disease, precipitates annual epidemics and occasional pandemics, resulting in high health and economic burden worldwide. Currently available drugs are becoming less and less effective against this rapidly mutating virus. Alternative treatment strategies are needed, particularly for individuals at high risk for severe morbidity. In a setting where vaccines are not yet protective or available, human antibodies that are broadly effective against various influenza subtypes could be highly efficacious in lowering morbidity and mortality and controlling unprecedented epidemic/pandemic. Prototypes of human single-chain antibodies to several conserved proteins of influenza virus with no Fc portion (hence, no ADE effect in recipients) are available. These antibodies have high potential as a novel, safe, and effective anti-influenza agent.
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Affiliation(s)
- Urai Chaisri
- Department of Tropical Pathology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Wanpen Chaicumpa
- Center of Research Excellence on Therapeutic Proteins and Antibody Engineering, Department of Parasitology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
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82
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Moss WN. RNA2DMut: a web tool for the design and analysis of RNA structure mutations. RNA (NEW YORK, N.Y.) 2018; 24:273-286. [PMID: 29183923 PMCID: PMC5824348 DOI: 10.1261/rna.063933.117] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Accepted: 11/25/2017] [Indexed: 06/07/2023]
Abstract
With the widespread application of high-throughput sequencing, novel RNA sequences are being discovered at an astonishing rate. The analysis of function, however, lags behind. In both the cis- and trans-regulatory functions of RNA, secondary structure (2D base-pairing) plays essential regulatory roles. In order to test RNA function, it is essential to be able to design and analyze mutations that can affect structure. This was the motivation for the creation of the RNA2DMut web tool. With RNA2DMut, users can enter in RNA sequences to analyze, constrain mutations to specific residues, or limit changes to purines/pyrimidines. The sequence is analyzed at each base to determine the effect of every possible point mutation on 2D structure. The metrics used in RNA2DMut rely on the calculation of the Boltzmann structure ensemble and do not require a robust 2D model of RNA structure for designing mutations. This tool can facilitate a wide array of uses involving RNA: for example, in designing and evaluating mutants for biological assays, interrogating RNA-protein interactions, identifying key regions to alter in SELEX experiments, and improving RNA folding and crystallization properties for structural biology. Additional tools are available to help users introduce other mutations (e.g., indels and substitutions) and evaluate their effects on RNA structure. Example calculations are shown for five RNAs that require 2D structure for their function: the MALAT1 mascRNA, an influenza virus splicing regulatory motif, the EBER2 viral noncoding RNA, the Xist lncRNA repA region, and human Y RNA 5. RNA2DMut can be accessed at https://rna2dmut.bb.iastate.edu/.
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Affiliation(s)
- Walter N Moss
- Roy J. Carver Department of Biophysics, Biochemistry and Molecular Biology, Iowa State University, Ames, Iowa 50011, USA
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83
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Zhou C, Liu S, Song W, Luo S, Meng G, Yang C, Yang H, Ma J, Wang L, Gao S, Wang J, Yang H, Zhao Y, Wang H, Zhou X. Characterization of viral RNA splicing using whole-transcriptome datasets from host species. Sci Rep 2018; 8:3273. [PMID: 29459752 PMCID: PMC5818608 DOI: 10.1038/s41598-018-21190-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Accepted: 01/31/2018] [Indexed: 01/16/2023] Open
Abstract
RNA alternative splicing (AS) is an important post-transcriptional mechanism enabling single genes to produce multiple proteins. It has been well demonstrated that viruses deploy host AS machinery for viral protein productions. However, knowledge on viral AS is limited to a few disease-causing viruses in model species. Here we report a novel approach to characterizing viral AS using whole transcriptome dataset from host species. Two insect transcriptomes (Acheta domesticus and Planococcus citri) generated in the 1,000 Insect Transcriptome Evolution (1KITE) project were used as a proof of concept using the new pipeline. Two closely related densoviruses (Acheta domesticus densovirus, AdDNV, and Planococcus citri densovirus, PcDNV, Ambidensovirus, Densovirinae, Parvoviridae) were detected and analyzed for AS patterns. The results suggested that although the two viruses shared major AS features, dramatic AS divergences were observed. Detailed analysis of the splicing junctions showed clusters of AS events occurred in two regions of the virus genome, demonstrating that transcriptome analysis could gain valuable insights into viral splicing. When applied to large-scale transcriptomics projects with diverse taxonomic sampling, our new method is expected to rapidly expand our knowledge on RNA splicing mechanisms for a wide range of viruses.
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Affiliation(s)
- Chengran Zhou
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China.,BGI-Shenzhen, Shenzhen, 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Shanlin Liu
- BGI-Shenzhen, Shenzhen, 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.,Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350, Copenhagen, Denmark
| | - Wenhui Song
- BGI-Shenzhen, Shenzhen, 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Shiqi Luo
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Plant Protection, China Agricultural University, Beijing, 100193, China
| | - Guanliang Meng
- BGI-Shenzhen, Shenzhen, 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Chentao Yang
- BGI-Shenzhen, Shenzhen, 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Hua Yang
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
| | - Jinmin Ma
- BGI-Shenzhen, Shenzhen, 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Liang Wang
- CAS Key Laboratory of Biomedical & Diagnostic Technology, CAS/Suzhou Institute of Biomedical Engineering and Technology, Suzhou, 215163, China
| | - Shan Gao
- CAS Key Laboratory of Biomedical & Diagnostic Technology, CAS/Suzhou Institute of Biomedical Engineering and Technology, Suzhou, 215163, China
| | - Jian Wang
- BGI-Shenzhen, Shenzhen, 518083, China.,James D. Watson Institute of Genome Sciences, Hangzhou, 310058, China
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen, 518083, China.,James D. Watson Institute of Genome Sciences, Hangzhou, 310058, China
| | - Yun Zhao
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China.
| | - Hui Wang
- BGI-Shenzhen, Shenzhen, 518083, China. .,China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China. .,The Institute of Biomedical Engineering, University of Oxford, Oxford, OX3 7DQ, UK.
| | - Xin Zhou
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Plant Protection, China Agricultural University, Beijing, 100193, China. .,National Engineering Research Center for Fruit and Vegetable Processing, China Agricultural University, Beijing, 100193, China.
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84
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Russell AB, Trapnell C, Bloom JD. Extreme heterogeneity of influenza virus infection in single cells. eLife 2018; 7:e32303. [PMID: 29451492 PMCID: PMC5826275 DOI: 10.7554/elife.32303] [Citation(s) in RCA: 158] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 01/31/2018] [Indexed: 12/13/2022] Open
Abstract
Viral infection can dramatically alter a cell's transcriptome. However, these changes have mostly been studied by bulk measurements on many cells. Here we use single-cell mRNA sequencing to examine the transcriptional consequences of influenza virus infection. We find extremely wide cell-to-cell variation in the productivity of viral transcription - viral transcripts comprise less than a percent of total mRNA in many infected cells, but a few cells derive over half their mRNA from virus. Some infected cells fail to express at least one viral gene, but this gene absence only partially explains variation in viral transcriptional load. Despite variation in viral load, the relative abundances of viral mRNAs are fairly consistent across infected cells. Activation of innate immune pathways is rare, but some cellular genes co-vary in abundance with the amount of viral mRNA. Overall, our results highlight the complexity of viral infection at the level of single cells.
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Affiliation(s)
- Alistair B Russell
- Basic Sciences Division and Computational Biology ProgramFred Hutchinson Cancer Research CenterSeattleUnited States
| | - Cole Trapnell
- Department of Genome SciencesUniversity of WashingtonSeattleUnited States
| | - Jesse D Bloom
- Basic Sciences Division and Computational Biology ProgramFred Hutchinson Cancer Research CenterSeattleUnited States
- Department of Genome SciencesUniversity of WashingtonSeattleUnited States
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85
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Sheng Z, Liu R, Yu J, Ran Z, Newkirk SJ, An W, Li F, Wang D. Identification and characterization of viral defective RNA genomes in influenza B virus. J Gen Virol 2018; 99:475-488. [PMID: 29458654 DOI: 10.1099/jgv.0.001018] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Influenza B virus (FLUBV) is an important pathogen that infects humans and causes seasonal influenza epidemics. To date, little is known about defective genomes of FLUBV and their roles in viral replication. In this study, by using a next-generation sequencing approach, we analyzed total mRNAs extracted from A549 cells infected with B/Brisbane/60/2008 virus (Victoria lineage), and identified four defective FLUBV genomes with two (PB1∆A and PB1∆B) from the polymerase basic subunit 1 (PB1) segment and the other two (M∆A and M∆B) from the matrix (M) protein-encoding segment. These defective genomes contained significant deletions in the central regions with each having the potential for encoding a novel polypeptide. Significantly, each of the discovered defective RNAs can potently inhibit the replication of B/Yamanashi/166/98 (Yamagata lineage). Furthermore, PB1∆A was able to interfere modestly with influenza A virus (FLUAV) replication. In summary, our study provides important initial insights into FLUBV defective-interfering genomes, which can be further explored to achieve better understanding of the replication, pathogenesis and evolution of FLUBV.
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Affiliation(s)
- Zizhang Sheng
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA
| | - Runxia Liu
- Department of Biology and Microbiology, South Dakota State University, Brookings, SD, USA
| | - Jieshi Yu
- Department of Biology and Microbiology, South Dakota State University, Brookings, SD, USA
| | - Zhiguang Ran
- Department of Biology and Microbiology, South Dakota State University, Brookings, SD, USA.,Department of Veterinary and Biomedical Sciences, South Dakota State University, Brookings, SD, USA
| | - Simon J Newkirk
- Department of Pharmaceutical Sciences, South Dakota State University, Brookings, SD, USA
| | - Wenfeng An
- Department of Pharmaceutical Sciences, South Dakota State University, Brookings, SD, USA
| | - Feng Li
- Department of Biology and Microbiology, South Dakota State University, Brookings, SD, USA.,Department of Veterinary and Biomedical Sciences, South Dakota State University, Brookings, SD, USA.,BioSystems Networks and Translational Research (BioSNTR), Brookings, SD, USA
| | - Dan Wang
- BioSystems Networks and Translational Research (BioSNTR), Brookings, SD, USA.,Department of Biology and Microbiology, South Dakota State University, Brookings, SD, USA
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86
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Abstract
Regardless of their genetic constitution, viral genomes are replicated, expressed, and assembled in association with living host cells. These entities do not undergo division, but rather generate new particles through the assembly of preformed components. Some viruses go further by modifying cellular metabolism to create a more favorable environment for viral gene expression. In a few instances, these clever strategies also facilitate escape from the host’s defense responses. The process of replication is typically divided into the phases of attachment, entry, uncoating, genome replication and expression, assembly, maturation, and finally, egress or release from the host cell. In this chapter, we address genome replication and expression, including the multiple strategies that serve to control gene expression and ensure preferential propagation of the virus.
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87
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Influenza A Virus M2 Protein: Roles from Ingress to Egress. Int J Mol Sci 2017; 18:ijms18122649. [PMID: 29215568 PMCID: PMC5751251 DOI: 10.3390/ijms18122649] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Revised: 12/04/2017] [Accepted: 12/05/2017] [Indexed: 11/17/2022] Open
Abstract
Influenza A virus (IAV) matrix protein 2 (M2) is among the smallest bona fide, hence extensively studied, ion channel proteins. The M2 ion channel activity is not only essential for virus replication, but also involved in modulation of cellular homeostasis in a variety of ways. It is also the target for ion channel inhibitors, i.e., anti-influenza drugs. Thus far, several studies have been conducted to elucidate its biophysical characteristics, structure-function relationships of the ion channel, and the M2-host interactome. In this review, we discuss M2 protein synthesis and assembly into an ion channel, its roles in IAV replication, and the pathophysiological impact on the host cell.
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88
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Soszynska-Jozwiak M, Michalak P, Moss WN, Kierzek R, Kesy J, Kierzek E. Influenza virus segment 5 (+)RNA - secondary structure and new targets for antiviral strategies. Sci Rep 2017; 7:15041. [PMID: 29118447 PMCID: PMC5678188 DOI: 10.1038/s41598-017-15317-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Accepted: 10/24/2017] [Indexed: 01/05/2023] Open
Abstract
Influenza A virus is a threat for humans due to seasonal epidemics and occasional pandemics. This virus can generate new strains that are dangerous through nucleotide/amino acid changes or through segmental recombination of the viral RNA genome. It is important to gain wider knowledge about influenza virus RNA to create new strategies for drugs that will inhibit its spread. Here, we present the experimentally determined secondary structure of the influenza segment 5 (+)RNA. Two RNAs were studied: the full-length segment 5 (+)RNA and a shorter construct containing only the coding region. Chemical mapping data combined with thermodynamic energy minimization were used in secondary structure prediction. Sequence/structure analysis showed that the determined secondary structure of segment 5 (+)RNA is mostly conserved between influenza virus type A strains. Microarray mapping and RNase H cleavage identified accessible sites for oligonucleotides in the revealed secondary structure of segment 5 (+)RNA. Antisense oligonucleotides were designed based on the secondary structure model and tested against influenza virus in cell culture. Inhibition of influenza virus proliferation was noticed, identifying good targets for antisense strategies. Effective target sites fall within two domains, which are conserved in sequence/structure indicating their importance to the virus.
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Affiliation(s)
- Marta Soszynska-Jozwiak
- Institute of Bioorganic Chemistry Polish Academy of Sciences, 61-704, Poznan, Noskowskiego 12/14, Poland
| | - Paula Michalak
- Institute of Bioorganic Chemistry Polish Academy of Sciences, 61-704, Poznan, Noskowskiego 12/14, Poland
| | - Walter N Moss
- Roy J. Carver Department of Biophysics, Biochemistry and Molecular Biology, Iowa State University, Ames, IA, 50011, United States of America
| | - Ryszard Kierzek
- Institute of Bioorganic Chemistry Polish Academy of Sciences, 61-704, Poznan, Noskowskiego 12/14, Poland
| | - Julita Kesy
- Institute of Bioorganic Chemistry Polish Academy of Sciences, 61-704, Poznan, Noskowskiego 12/14, Poland
| | - Elzbieta Kierzek
- Institute of Bioorganic Chemistry Polish Academy of Sciences, 61-704, Poznan, Noskowskiego 12/14, Poland.
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89
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Role of influenza A virus NP acetylation on viral growth and replication. Nat Commun 2017; 8:1259. [PMID: 29097654 PMCID: PMC5668263 DOI: 10.1038/s41467-017-01112-3] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 08/17/2017] [Indexed: 12/29/2022] Open
Abstract
Lysine acetylation is a post-translational modification known to regulate protein functions. Here we identify several acetylation sites of the influenza A virus nucleoprotein (NP), including the lysine residues K77, K113 and K229. Viral growth of mutant virus encoding K229R, mimicking a non-acetylated NP lysine residue, is severely impaired compared to wildtype or the mutant viruses encoding K77R or K113R. This attenuation is not the result of decreased polymerase activity, altered protein expression or disordered vRNP co-segregation but rather caused by impaired particle release. Interestingly, release deficiency is also observed mimicking constant acetylation at this site (K229Q), whereas virus encoding NP-K113Q could not be generated. However, mimicking NP hyper-acetylation at K77 and K229 severely diminishes viral polymerase activity, while mimicking NP hypo-acetylation at these sites has no effect on viral replication. These results suggest that NP acetylation at K77, K113 and K229 impacts multiple steps in viral replication of influenza A viruses. Post-translational modifications of influenza A virus proteins can regulate virus replication, but the effect of nucleoprotein (NP) acetylation is not known. Here, Giese et al. identify four NP lysine residues that are acetylated in infected cells and study their role in polymerase activity and virion release.
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90
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Screening for small molecule inhibitors of HIV-1 Gag expression. Methods 2017; 126:201-208. [DOI: 10.1016/j.ymeth.2017.06.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Revised: 05/08/2017] [Accepted: 06/05/2017] [Indexed: 01/03/2023] Open
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91
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Spronken MI, van de Sandt CE, de Jongh EP, Vuong O, van der Vliet S, Bestebroer TM, Olsthoorn RCL, Rimmelzwaan GF, Fouchier RAM, Gultyaev AP. A compensatory mutagenesis study of a conserved hairpin in the M gene segment of influenza A virus shows its role in virus replication. RNA Biol 2017; 14:1606-1616. [PMID: 28662365 PMCID: PMC5785231 DOI: 10.1080/15476286.2017.1338243] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
RNA structures are increasingly recognized to be of importance during influenza A virus replication. Here, we investigated a predicted conserved hairpin in the M gene segment (nt 967-994) within the region of the vRNA 5′ packaging signal. The existence of this RNA structure and its possible role in virus replication was investigated using a compensatory mutagenesis approach. Mutations were introduced in the hairpin stem, based on natural variation. Virus replication properties were studied for the mutant viruses with disrupted and restored RNA structures. Viruses with structure-disrupting mutations had lower virus titers and a significantly reduced median plaque size when compared with the wild-type (WT) virus, while viruses with structure restoring-mutations replicated comparable to WT. Moreover, virus replication was also reduced when mutations were introduced in the hairpin loop, suggesting its involvement in RNA interactions. Northern blot and FACS experiments were performed to study differences in RNA levels as well as production of M1 and M2 proteins, expressed via alternative splicing. Stem-disruptive mutants caused lower vRNA and M2 mRNA levels and reduced M2 protein production at early time-points. When the RNA structure was restored, vRNA, M2 mRNA and M2 protein levels were increased, demonstrating a compensatory effect. Thus, this study provides evidence for functional importance of the predicted M RNA structure and suggests its role in splicing regulation.
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Affiliation(s)
- M I Spronken
- a Department of Viroscience , Erasmus Medical Centre , Rotterdam , the Netherlands
| | - C E van de Sandt
- a Department of Viroscience , Erasmus Medical Centre , Rotterdam , the Netherlands
| | - E P de Jongh
- a Department of Viroscience , Erasmus Medical Centre , Rotterdam , the Netherlands
| | - O Vuong
- a Department of Viroscience , Erasmus Medical Centre , Rotterdam , the Netherlands
| | - S van der Vliet
- a Department of Viroscience , Erasmus Medical Centre , Rotterdam , the Netherlands
| | - T M Bestebroer
- a Department of Viroscience , Erasmus Medical Centre , Rotterdam , the Netherlands
| | - R C L Olsthoorn
- c Group Supramolecular and Biomaterials Chemistry, Leiden Institute of Chemistry, Leiden University , Leiden , the Netherlands
| | - G F Rimmelzwaan
- a Department of Viroscience , Erasmus Medical Centre , Rotterdam , the Netherlands
| | - R A M Fouchier
- a Department of Viroscience , Erasmus Medical Centre , Rotterdam , the Netherlands
| | - A P Gultyaev
- a Department of Viroscience , Erasmus Medical Centre , Rotterdam , the Netherlands.,b Group Imaging and Bioinformatics, Leiden Institute of Advanced Computer Science, Leiden University , Leiden , the Netherlands
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92
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Influenza A Virus NS1 Protein Promotes Efficient Nuclear Export of Unspliced Viral M1 mRNA. J Virol 2017; 91:JVI.00528-17. [PMID: 28515301 PMCID: PMC5651720 DOI: 10.1128/jvi.00528-17] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 05/10/2017] [Indexed: 01/08/2023] Open
Abstract
Influenza A virus mRNAs are transcribed by the viral RNA-dependent RNA polymerase in the cell nucleus before being exported to the cytoplasm for translation. Segment 7 produces two major transcripts: an unspliced mRNA that encodes the M1 matrix protein and a spliced transcript that encodes the M2 ion channel. Export of both mRNAs is dependent on the cellular NXF1/TAP pathway, but it is unclear how they are recruited to the export machinery or how the intron-containing but unspliced M1 mRNA bypasses the normal quality-control checkpoints. Using fluorescent in situ hybridization to monitor segment 7 mRNA localization, we found that cytoplasmic accumulation of unspliced M1 mRNA was inefficient in the absence of NS1, both in the context of segment 7 RNPs reconstituted by plasmid transfection and in mutant virus-infected cells. This effect was independent of any major effect on steady-state levels of segment 7 mRNA or splicing but corresponded to a ∼5-fold reduction in the accumulation of M1. A similar defect in intronless hemagglutinin (HA) mRNA nuclear export was seen with an NS1 mutant virus. Efficient export of M1 mRNA required both an intact NS1 RNA-binding domain and effector domain. Furthermore, while wild-type NS1 interacted with cellular NXF1 and also increased the interaction of segment 7 mRNA with NXF1, mutant NS1 polypeptides unable to promote mRNA export did neither. Thus, we propose that NS1 facilitates late viral gene expression by acting as an adaptor between viral mRNAs and the cellular nuclear export machinery to promote their nuclear export.IMPORTANCE Influenza A virus is a major pathogen of a wide variety of mammalian and avian species that threatens public health and food security. A fuller understanding of the virus life cycle is important to aid control strategies. The virus has a small genome that encodes relatively few proteins that are often multifunctional. Here, we characterize a new function for the NS1 protein, showing that, as well as previously identified roles in antagonizing the innate immune defenses of the cell and directly upregulating translation of viral mRNAs, it also promotes the nuclear export of the viral late gene mRNAs by acting as an adaptor between the viral mRNAs and the cellular mRNA nuclear export machinery.
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93
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Martins RP, Fåhraeus R. A matter of maturity: The impact of pre-mRNA processing in gene expression and antigen presentation. Int J Biochem Cell Biol 2017; 91:203-211. [PMID: 28549625 DOI: 10.1016/j.biocel.2017.05.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Revised: 05/15/2017] [Accepted: 05/18/2017] [Indexed: 12/28/2022]
Abstract
RNA processing plays a pivotal role in the diversification of high eukaryotes transcriptome and proteome. The expression of gene products controlling a variety of cellular and physiological processes depends largely on a complex maturation process undergone by pre-mRNAs to become translation-competent mRNAs. Here we review the different mechanisms involved in the pre-mRNA processing and disclose their impact in the gene regulation process in eukaryotic cells. We describe some viral strategies targeting pre-mRNA processing to control gene expression and host immune response and discuss their relevance as tools for a better understanding of cell biology. Finally, we highlight accumulating evidences toward the occurrence of a translation event coupled to mRNA biogenesis in the nuclear compartment and argue how this is relevant for the production of antigenic peptide substrates for the major histocompatibility complex class I pathway.
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Affiliation(s)
- Rodrigo Prado Martins
- Équipe Labellisée Ligue Contre le Cancer, Université Paris 7, INSERM UMR 1162, 27 rue Juliette Dodu, 75010 Paris, France.
| | - Robin Fåhraeus
- Équipe Labellisée Ligue Contre le Cancer, Université Paris 7, INSERM UMR 1162, 27 rue Juliette Dodu, 75010 Paris, France; Department of Medical Biosciences, Umeå University, Umeå, Sweden; RECAMO, Masaryk Memorial Cancer Institute, Brno, Czech Republic
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94
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Panthu B, Terrier O, Carron C, Traversier A, Corbin A, Balvay L, Lina B, Rosa-Calatrava M, Ohlmann T. The NS1 Protein from Influenza Virus Stimulates Translation Initiation by Enhancing Ribosome Recruitment to mRNAs. J Mol Biol 2017; 429:3334-3352. [PMID: 28433538 DOI: 10.1016/j.jmb.2017.04.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Revised: 03/24/2017] [Accepted: 04/11/2017] [Indexed: 12/20/2022]
Abstract
The non-structural protein NS1 of influenza A viruses exerts pleiotropic functions during infection. Among these functions, NS1 was shown to be involved in the control of both viral and cellular translation; however, the mechanism by which this occurs remains to be determined. Thus, we have revisited the role of NS1 in translation by using a combination of influenza infection, mRNA reporter transfection, and in vitro functional and biochemical assays. Our data show that the NS1 protein is able to enhance the translation of virtually all tested mRNAs with the exception of constructs bearing the Dicistroviruses Internal ribosome entry segment (IRESes) (DCV and CrPV), suggesting a role at the level of translation initiation. The domain of NS1 required for translation stimulation was mapped to the RNA binding amino-terminal motif of the protein with residues R38 and K41 being critical for activity. Although we show that NS1 can bind directly to mRNAs, it does not correlate with its ability to stimulate translation. This activity rather relies on the property of NS1 to associate with ribosomes and to recruit them to target mRNAs.
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Affiliation(s)
- Baptiste Panthu
- CIRI, International Center for Infectiology Research, Université de Lyon, 69364 Lyon, France; Inserm, U1111, 69364 Lyon, France; Ecole Normale Supérieure de Lyon, 69364 Lyon, France; Université Lyon 1, Centre International de Recherche en Infectiologie, 69364 Lyon, France; CNRS, UMR5308, 69364 Lyon, France
| | - Olivier Terrier
- CIRI, International Center for Infectiology Research, Université de Lyon, 69364 Lyon, France; Inserm, U1111, 69364 Lyon, France; Ecole Normale Supérieure de Lyon, 69364 Lyon, France; Université Lyon 1, Centre International de Recherche en Infectiologie, 69364 Lyon, France; CNRS, UMR5308, 69364 Lyon, France; Laboratoire de Virologie et Pathologie Humaine VirPath, Université Claude Bernard Lyon 1, Hospices Civils de Lyon, Faculté de médecine RTH Laennec, rue Guillaume Paradin, F-69008 Lyon, France
| | - Coralie Carron
- CIRI, International Center for Infectiology Research, Université de Lyon, 69364 Lyon, France; Inserm, U1111, 69364 Lyon, France; Ecole Normale Supérieure de Lyon, 69364 Lyon, France; Université Lyon 1, Centre International de Recherche en Infectiologie, 69364 Lyon, France; CNRS, UMR5308, 69364 Lyon, France; Laboratoire de Virologie et Pathologie Humaine VirPath, Université Claude Bernard Lyon 1, Hospices Civils de Lyon, Faculté de médecine RTH Laennec, rue Guillaume Paradin, F-69008 Lyon, France
| | - Aurélien Traversier
- CIRI, International Center for Infectiology Research, Université de Lyon, 69364 Lyon, France; Inserm, U1111, 69364 Lyon, France; Ecole Normale Supérieure de Lyon, 69364 Lyon, France; Université Lyon 1, Centre International de Recherche en Infectiologie, 69364 Lyon, France; CNRS, UMR5308, 69364 Lyon, France; Laboratoire de Virologie et Pathologie Humaine VirPath, Université Claude Bernard Lyon 1, Hospices Civils de Lyon, Faculté de médecine RTH Laennec, rue Guillaume Paradin, F-69008 Lyon, France
| | - Antoine Corbin
- CIRI, International Center for Infectiology Research, Université de Lyon, 69364 Lyon, France; Inserm, U1111, 69364 Lyon, France; Ecole Normale Supérieure de Lyon, 69364 Lyon, France; Université Lyon 1, Centre International de Recherche en Infectiologie, 69364 Lyon, France; CNRS, UMR5308, 69364 Lyon, France
| | - Laurent Balvay
- CIRI, International Center for Infectiology Research, Université de Lyon, 69364 Lyon, France; Inserm, U1111, 69364 Lyon, France; Ecole Normale Supérieure de Lyon, 69364 Lyon, France; Université Lyon 1, Centre International de Recherche en Infectiologie, 69364 Lyon, France; CNRS, UMR5308, 69364 Lyon, France
| | - Bruno Lina
- CIRI, International Center for Infectiology Research, Université de Lyon, 69364 Lyon, France; Inserm, U1111, 69364 Lyon, France; Ecole Normale Supérieure de Lyon, 69364 Lyon, France; Université Lyon 1, Centre International de Recherche en Infectiologie, 69364 Lyon, France; CNRS, UMR5308, 69364 Lyon, France; Laboratoire de Virologie et Pathologie Humaine VirPath, Université Claude Bernard Lyon 1, Hospices Civils de Lyon, Faculté de médecine RTH Laennec, rue Guillaume Paradin, F-69008 Lyon, France
| | - Manuel Rosa-Calatrava
- CIRI, International Center for Infectiology Research, Université de Lyon, 69364 Lyon, France; Inserm, U1111, 69364 Lyon, France; Ecole Normale Supérieure de Lyon, 69364 Lyon, France; Université Lyon 1, Centre International de Recherche en Infectiologie, 69364 Lyon, France; CNRS, UMR5308, 69364 Lyon, France; Laboratoire de Virologie et Pathologie Humaine VirPath, Université Claude Bernard Lyon 1, Hospices Civils de Lyon, Faculté de médecine RTH Laennec, rue Guillaume Paradin, F-69008 Lyon, France
| | - Théophile Ohlmann
- CIRI, International Center for Infectiology Research, Université de Lyon, 69364 Lyon, France; Inserm, U1111, 69364 Lyon, France; Ecole Normale Supérieure de Lyon, 69364 Lyon, France; Université Lyon 1, Centre International de Recherche en Infectiologie, 69364 Lyon, France; CNRS, UMR5308, 69364 Lyon, France.
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95
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Adeola OA. Treatment of Influenza: Prospects of Post-Transcriptional Gene Silencing Through Synthetic siRNAs. EXPLORATORY RESEARCH AND HYPOTHESIS IN MEDICINE 2017; 2:1-2. [DOI: 10.14218/erhm.2016.00013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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96
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Huang X, Zheng M, Wang P, Mok BWY, Liu S, Lau SY, Chen P, Liu YC, Liu H, Chen Y, Song W, Yuen KY, Chen H. An NS-segment exonic splicing enhancer regulates influenza A virus replication in mammalian cells. Nat Commun 2017; 8:14751. [PMID: 28323816 PMCID: PMC5364394 DOI: 10.1038/ncomms14751] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Accepted: 01/26/2017] [Indexed: 01/04/2023] Open
Abstract
Influenza virus utilizes host splicing machinery to process viral mRNAs expressed from both M and NS segments. Through genetic analysis and functional characterization, we here show that the NS segment of H7N9 virus contains a unique G540A substitution, located within a previously undefined exonic splicing enhancer (ESE) motif present in the NEP mRNA of influenza A viruses. G540A supports virus replication in mammalian cells while retaining replication ability in avian cells. Host splicing regulator, SF2, interacts with this ESE to regulate splicing of NEP/NS1 mRNA and G540A substitution affects SF2–ESE interaction. The NS1 protein directly interacts with SF2 in the nucleus and modulates splicing of NS mRNAs during virus replication. We demonstrate that splicing of NEP/NS1 mRNA is regulated through a cis NEP-ESE motif and suggest a unique NEP-ESE may contribute to provide H7N9 virus with the ability to both circulate efficiently in avian hosts and replicate in mammalian cells. Some circulating avian influenza A viruses can infect humans, but the mechanism enabling species jump is poorly understood. Here, Huang et al. identify a nucleotide in NEP of avian H7N9 viruses that affects splicing efficiency of the NS segment and supports virus replication in avian and mammalian cells.
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Affiliation(s)
- Xiaofeng Huang
- State Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The University of Hong Kong, Hong Kong SAR, China
| | - Min Zheng
- State Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The University of Hong Kong, Hong Kong SAR, China
| | - Pui Wang
- State Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The University of Hong Kong, Hong Kong SAR, China
| | - Bobo Wing-Yee Mok
- State Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The University of Hong Kong, Hong Kong SAR, China
| | - Siwen Liu
- State Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The University of Hong Kong, Hong Kong SAR, China
| | - Siu-Ying Lau
- State Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China
| | - Pin Chen
- State Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The University of Hong Kong, Hong Kong SAR, China
| | - Yen-Chin Liu
- State Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The University of Hong Kong, Hong Kong SAR, China
| | - Honglian Liu
- State Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The University of Hong Kong, Hong Kong SAR, China
| | - Yixin Chen
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361005, China
| | - Wenjun Song
- State Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China.,Department of Biotechnology, College of Life Science and Technology, Jinan University, 601 Huangpu Avenue West, Guangzhou 510632, China
| | - Kwok-Yung Yuen
- State Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China.,Department of Biotechnology, College of Life Science and Technology, Jinan University, 601 Huangpu Avenue West, Guangzhou 510632, China
| | - Honglin Chen
- State Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The University of Hong Kong, Hong Kong SAR, China.,National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361005, China
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97
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A Cytoplasmic RNA Virus Alters the Function of the Cell Splicing Protein SRSF2. J Virol 2017; 91:JVI.02488-16. [PMID: 28077658 DOI: 10.1128/jvi.02488-16] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2016] [Accepted: 01/05/2017] [Indexed: 11/20/2022] Open
Abstract
To replicate efficiently, viruses must create favorable cell conditions and overcome cell antiviral responses. We previously reported that the reovirus protein μ2 from strain T1L, but not strain T3D, represses one antiviral response: alpha/beta interferon signaling. We report here that T1L, but not T3D, μ2 localizes to nuclear speckles, where it forms a complex with the mRNA splicing factor SRSF2 and alters its subnuclear localization. Reovirus replicates in cytoplasmic viral factories, and there is no evidence that reovirus genomic or messenger RNAs are spliced, suggesting that T1L μ2 might target splicing of cell RNAs. Indeed, RNA sequencing revealed that reovirus T1L, but not T3D, infection alters the splicing of transcripts for host genes involved in mRNA posttranscriptional modifications. Moreover, depletion of SRSF2 enhanced reovirus replication and cytopathic effect, suggesting that T1L μ2 modulation of splicing benefits the virus. This provides the first report of viral antagonism of the splicing factor SRSF2 and identifies the viral protein that determines strain-specific differences in cell RNA splicing.IMPORTANCE Efficient viral replication requires that the virus create favorable cell conditions. Many viruses accomplish this by repressing specific antiviral responses. We demonstrate here that some mammalian reoviruses, RNA viruses that replicate strictly in the cytoplasm, express a protein variant that localizes to nuclear speckles, where it targets a cell mRNA splicing factor. Infection with a reovirus strain that targets this splicing factor alters splicing of cell mRNAs involved in the maturation of many other cell mRNAs. Depletion of this cell splicing factor enhances reovirus replication and cytopathic effect. Our results provide the first evidence of viral antagonism of this splicing factor and suggest that downstream consequences to the cell are global and benefit the virus.
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98
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Davis AM, Ramirez J, Newcomb LL. Identification of influenza A nucleoprotein body domain residues essential for viral RNA expression expose antiviral target. Virol J 2017; 14:22. [PMID: 28173821 PMCID: PMC5294902 DOI: 10.1186/s12985-017-0694-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2016] [Accepted: 01/30/2017] [Indexed: 11/10/2022] Open
Abstract
Background Influenza A virus is controlled with yearly vaccination while emerging global pandemics are kept at bay with antiviral medications. Unfortunately, influenza A viruses have emerged resistance to approved influenza antivirals. Accordingly, there is an urgent need for novel antivirals to combat emerging influenza A viruses resistant to current treatments. Conserved viral proteins are ideal targets because conserved protein domains are present in most, if not all, influenza subtypes, and are presumed less prone to evolve viable resistant versions. The threat of an antiviral resistant influenza pandemic justifies our study to identify and characterize antiviral targets within influenza proteins that are highly conserved. Influenza A nucleoprotein (NP) is highly conserved and plays essential roles throughout the viral lifecycle, including viral RNA synthesis. Methods Using NP crystal structure, we targeted accessible amino acids for substitution. To characterize the NP proteins, reconstituted viral ribonucleoproteins (vRNPs) were expressed in 293 T cells, RNA was isolated, and reverse transcription – quantitative PCR (RT-qPCR) was employed to assess viral RNA expressed from reconstituted vRNPs. Location was confirmed using cellular fractionation and western blot, along with observation of NP-GFP fusion proteins. Nucleic acid binding, oligomerization, and vRNP formation, were each assessed with native gel electrophoresis. Results Here we report characterization of an accessible and conserved five amino acid region within the NP body domain that plays a redundant but essential role in viral RNA synthesis. Our data demonstrate substitutions in this domain did not alter NP localization, oligomerization, or ability to bind nucleic acids, yet resulted in a defect in viral RNA expression. To define this region further, single and double amino acid substitutions were constructed and investigated. All NP single substitutions were functional, suggesting redundancy, yet different combinations of two amino acid substitutions resulted in a significant defect in RNA expression, confirming these accessible amino acids in the NP body domain play an important role in viral RNA synthesis. Conclusions The identified conserved and accessible NP body domain represents a viable antiviral target to counter influenza replication and this research will contribute to the well-informed design of novel therapies to combat emerging influenza viruses.
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Affiliation(s)
- Alicia M Davis
- Department of Biology, California State University San Bernardino, San Bernardino, CA, USA.,Present Address: Irell & Manella Graduate School of Biological Sciences, City of Hope, Duarte, CA, USA
| | - Jose Ramirez
- Department of Biology, California State University San Bernardino, San Bernardino, CA, USA.,Present Address: Tufts University School of Medicine, Boston, MA, USA
| | - Laura L Newcomb
- Department of Biology, California State University San Bernardino, San Bernardino, CA, USA.
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99
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Karnbunchob N, Omori R, Tessmer HL, Ito K. Tracking the Evolution of Polymerase Genes of Influenza A Viruses during Interspecies Transmission between Avian and Swine Hosts. Front Microbiol 2017; 7:2118. [PMID: 28082971 PMCID: PMC5183616 DOI: 10.3389/fmicb.2016.02118] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2016] [Accepted: 12/15/2016] [Indexed: 11/13/2022] Open
Abstract
Human influenza pandemics have historically been caused by reassortant influenza A viruses using genes from human and avian viruses. This genetic reassortment between human and avian viruses has been known to occur in swine during viral circulation, as swine are capable of circulating both avian and human viruses. Therefore, avian-to-swine transmission of viruses plays an important role in the emergence of new pandemic strains. The amino acids at several positions on PB2, PB1, and PA are known to determine the host range of influenza A viruses. In this paper, we track viral transmission between avian and swine to investigate the evolution on polymerase genes associated with their hosts. We traced viral transmissions between avian and swine hosts by using nucleotide sequences of avian viruses and swine viruses registered in the NCBI GenBank. Using BLAST and the reciprocal best hits technique, we found 32, 33, and 30 pairs of avian and swine nucleotide sequences that may be associated with avian-to-swine transmissions for PB2, PB1, and PA genes, respectively. Then, we examined the amino acid substitutions involved in these sporadic transmissions. On average, avian-to-swine transmission pairs had 5.47, 3.73, and 5.13 amino acid substitutions on PB2, PB1, and PA, respectively. However, amino acid substitutions were distributed over the positions, and few positions showed common substitutions in the multiple transmission events. Statistical tests on the number of repeated amino acid substitutions suggested that no specific positions on PB2 and PA may be required for avian viruses to infect swine. We also found that avian viruses that transmitted to swine tend to process I478V substitutions on PB2 before interspecies transmission events. Furthermore, most mutations occurred after the interspecies transmissions, possibly due to selective viral adaptation to swine.
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Affiliation(s)
- Nipawit Karnbunchob
- Division of Bioinformatics, Research Center for Zoonosis Control, Hokkaido University Sapporo, Japan
| | - Ryosuke Omori
- Division of Bioinformatics, Research Center for Zoonosis Control, Hokkaido UniversitySapporo, Japan; Precursory Research for Embryonic Science and Technology, Japan Science and Technology AgencyKawaguchi, Japan
| | - Heidi L Tessmer
- Division of Bioinformatics, Research Center for Zoonosis Control, Hokkaido University Sapporo, Japan
| | - Kimihito Ito
- Division of Bioinformatics, Research Center for Zoonosis Control, Hokkaido University Sapporo, Japan
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100
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Spencer CT, Bezbradica JS, Ramos MG, Arico CD, Conant SB, Gilchuk P, Gray JJ, Zheng M, Niu X, Hildebrand W, Link AJ, Joyce S. Viral infection causes a shift in the self peptide repertoire presented by human MHC class I molecules. Proteomics Clin Appl 2016; 9:1035-52. [PMID: 26768311 DOI: 10.1002/prca.201500106] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2015] [Revised: 10/26/2015] [Accepted: 10/29/2015] [Indexed: 12/22/2022]
Abstract
PURPOSE MHC class I presentation of peptides allows T cells to survey the cytoplasmic protein milieu of host cells. During infection, presentation of self peptides is, in part, replaced by presentation of microbial peptides. However, little is known about the self peptides presented during infection, despite the fact that microbial infections alter host cell gene expression patterns and protein metabolism. EXPERIMENTAL DESIGN The self peptide repertoire presented by HLA-A*01;01, HLA-A*02;01, HLA-B*07;02, HLA-B*35;01, and HLA-B*45;01 (where HLA is human leukocyte antigen) was determined by tandem MS before and after vaccinia virus infection. RESULTS We observed a profound alteration in the self peptide repertoire with hundreds of self peptides uniquely presented after infection for which we have coined the term "self peptidome shift." The fraction of novel self peptides presented following infection varied for different HLA class I molecules. A large part (approximately 40%) of the self peptidome shift arose from peptides derived from type I interferon-inducible genes, consistent with cellular responses to viral infection. Interestingly, approximately 12% of self peptides presented after infection showed allelic variation when searched against approximately 300 human genomes. CONCLUSION AND CLINICAL RELEVANCE Self peptidome shift in a clinical transplant setting could result in alloreactivity by presenting new self peptides in the context of infection-induced inflammation.
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Affiliation(s)
- Charles T Spencer
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Jelena S Bezbradica
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Mireya G Ramos
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Chenoa D Arico
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX, USA
| | - Stephanie B Conant
- Department of Pathology, Microbiology and Immunology, Nashville, TN, USA
| | - Pavlo Gilchuk
- Department of Pathology, Microbiology and Immunology, Nashville, TN, USA.,Veterans Administration Tennessee Valley Healthcare System, Nashville, TN, USA
| | - Jennifer J Gray
- Department of Pathology, Microbiology and Immunology, Nashville, TN, USA
| | - Mu Zheng
- Department of Pathology, Microbiology and Immunology, Nashville, TN, USA.,Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Xinnan Niu
- Department of Pathology, Microbiology and Immunology, Nashville, TN, USA.,Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - William Hildebrand
- Department of Microbiology and Immunology, University of Oklahoma Health Science Centre, Oklahoma City, OK, USA
| | - Andrew J Link
- Department of Pathology, Microbiology and Immunology, Nashville, TN, USA.,Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Sebastian Joyce
- Department of Pathology, Microbiology and Immunology, Nashville, TN, USA.,Veterans Administration Tennessee Valley Healthcare System, Nashville, TN, USA
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