9 results on '"Timothy Song"'
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2. Microbial Composition of the Human Nasopharynx Varies According to Influenza Virus Type and Vaccination Status
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Stephen G. Jenkins, Elodie Ghedin, Yixuan Ma, Shashi N Kapadia, Michelle Volk, Adam Geber, Timothy Song, Mirella Salvatore, Tao Ding, Lingdi Zhang, and Bin Zhou
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Male ,microbiome ,Disease ,16s rna sequencing ,influenza virus ,Vaccination status ,Nasopharynx ,RNA, Ribosomal, 16S ,Cluster Analysis ,Young adult ,Child ,Phylogeny ,Aged, 80 and over ,0303 health sciences ,Microbiota ,Middle Aged ,QR1-502 ,3. Good health ,Vaccination ,Community-Acquired Infections ,Influenza A virus ,Influenza Vaccines ,Child, Preschool ,Cohort ,Female ,Research Article ,Adult ,Adolescent ,Biology ,DNA, Ribosomal ,Microbiology ,Virus ,Host-Microbe Biology ,03 medical and health sciences ,Young Adult ,Virology ,Influenza, Human ,medicine ,Humans ,Microbiome ,030304 developmental biology ,Aged ,Bacterial disease ,Bacteria ,030306 microbiology ,Infant ,Microbial composition ,Sequence Analysis, DNA ,medicine.disease ,vaccination ,Pneumonia ,Influenza B virus ,Immunology - Abstract
Our results suggest that there is a significant association between the composition of the microbiota in the nasopharynx and the influenza virus type causing the infection. We observe that vaccination status, especially in more senior individuals, also has an association with the microbial community profile. This indicates that vaccination against influenza, even when ineffective to prevent disease, could play a role in controlling secondary bacterial complications., Factors that contribute to enhanced susceptibility to severe bacterial disease after influenza virus infection are not well defined but likely include the microbiome of the respiratory tract. Vaccination against influenza, while having variable effectiveness, could also play a role in microbial community stability. We collected nasopharyngeal samples from 215 individuals infected with influenza A/H3N2 or influenza B virus and profiled the microbiota by target sequencing of the 16S rRNA gene. We identified signature taxonomic groups by performing linear discriminant analysis and effective size comparisons (LEfSe) and defined bacterial community types using Dirichlet multinomial mixture (DMM) models. Influenza infection was shown to be significantly associated with microbial composition of the nasopharynx according to the virus type and the vaccination status of the patient. We identified four microbial community types across the combined cohort of influenza patients and healthy individuals with one community type most representative of the influenza virus-infected group. We also identified microbial taxa for which relative abundance was significantly higher in the unvaccinated elderly group; these taxa include species known to be associated with pneumonia.
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- 2019
3. Taxonomy of the order Mononegavirales: second update 2018
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Bernadette G. van den Hoogen, F. Murilo Zerbini, Susan Payne, Keizō Tomonaga, Mark D. Stenglein, Dàohóng Jiāng, Timothy H. Hyndman, Noël Tordo, John M. Dye, Anne Balkema-Buschmann, Bernadett Pályi, Ian Crozier, Sergey V. Netesov, Gael Kurath, Anthony Griffiths, Kim R. Blasdell, Alexander Bukreyev, Peter Simmonds, William G. Dundon, Olga Dolnik, Ron A. M. Fouchier, Paul Brown, Dennis Rubbenstroth, Anthony R. Fooks, Timothy Song, Rik L. de Swart, Gary P. Kobinger, Nikos Vasilakis, Victoria Wahl, Ralf Dürrwald, Ursula J. Buchholz, Robert B. Tesh, Jens H. Kuhn, Juliana Freitas-Astúa, Elodie Ghedin, Eric M. Leroy, María A. Ayllón, Ivan V. Kuzmin, Leslie L. Domier, Thomas Briese, Jan Felix Drexler, Hideki Kondō, David Wang, Gaya K. Amarasinghe, Bertus K. Rima, Gōngyín Yè, Gustavo Palacios, Ayato Takada, Kirsten Spann, Benhur Lee, Piet Maes, Sina Bavari, Christopher F. Basler, Yong-Zhen Zhang, Lin-Fa Wang, Janusz T. Paweska, Masayuki Horie, Qisheng Song, John V. Williams, Elke Mühlberger, Jiànróng Lǐ, Paul A. Rota, Norbert Nowotny, Kartik Chandran, Roger Hewson, Ralf G. Dietzgen, Anna E. Whitfield, Pierre Formenty, Julia L. Hurwitz, Sophie J. Smither, Shin-Yi Lee Marzano, W. Paul Duprex, Andrew J. Easton, Jonathan S. Towner, Robert A. Lamb, David M. Stone, Peter J. Walker, and Virology
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Order Mononegavirales ,0303 health sciences ,030306 microbiology ,Biología ,VÍRUS DE RNA ,General Medicine ,Biology ,Virology ,Article ,03 medical and health sciences ,Evolutionary biology ,Taxonomy (biology) ,Second update 2018 ,Mononegavirales ,Phylogeny ,030304 developmental biology ,Taxonomy - Abstract
In October 2018, the order Mononegavirales was amended by the establishment of three new families and three new genera, abolishment of two genera, and creation of 28 novel species. This article presents the updated taxonomy of the order Mon-onegavirales as now accepted by the International Committee on Taxonomy of Viruses (ICTV).
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- 2019
4. Taxonomy of the order Mononegavirales: update 2018
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Kang Seuk Choi, Nikos Vasilakis, Claudio Verdugo, Janusz T. Paweska, Thomas Briese, Víctor Manuel Neira Ramírez, Andrew J. Bennett, Masayuki Horie, Charles H. Calisher, Robert Kityo, Anthony R. Fooks, Martin Schwemmle, Sunil K. Mor, Nidia G. Aréchiga Ceballos, Timothy H. Hyndman, Ayato Takada, Yíngyún Caì, Robert A. Lamb, Alexander Bukreyev, Paul A. Rota, Tony L. Goldberg, Lin-Fa Wang, Benhur Lee, Kartik Chandran, Hideki Ebihara, Michael R. Wiley, Ralf G. Dietzgen, Anna E. Whitfield, Mark D. Stenglein, Piet Maes, Andrew J. Easton, Jean L. Patterson, Valerian V. Dolja, Olga Dolnik, Eugene V. Koonin, James F. X. Wellehan, Ralf Dürrwald, Peter L. Collins, Qisheng Song, Susan Payne, Jonathan S. Towner, Sina Bavari, Sonia Vázquez-Morón, Pierre Formenty, Sophie J. Smither, Keizō Tomonaga, Leslie L. Domier, Dàohóng Jiāng, Gael Kurath, Robert B. Tesh, Sergey V. Netesov, Elodie Ghedin, Andrea Maisner, Denise A. Marston, Cristine Campos Lawson, Elke Mühlberger, Christopher F. Basler, Conrad M. Freuling, Yǒng Zhèn Zhāng, Dennis Rubbenstroth, Peter J. Walker, Gōngyín Yè, David Wang, Ron A. M. Fouchier, Gustavo Palacios, Gary P. Kobinger, Yuri I. Wolf, Timothy Song, Hideki Kondō, Mart Krupovic, Karla Prieto, David M. Stone, Luciano M. Thomazelli, Colin A. Chapman, Ashley C. Banyard, Jens H. Kuhn, Stuart G. Siddell, Noël Tordo, John M. Dye, Terry Fei Fan Ng, Charles Y. Chiu, Kim R. Blasdell, Bertus K. Rima, Victoria Wahl, Eric M. Leroy, Gaya K. Amarasinghe, Juan Emilio Echevarría, Norbert Nowotny, Roger Hewson, Thomas Müller, Viktor E. Volchkov, Washington University School of Medicine (WUSM), University of Washington [Seattle], Laboratorio de Rabia, Instituto de Diagnóstico y Referencias Epidemiológicos, Animal and Plant Health Agency [Weybridge] (APHA), Georgia State University, University System of Georgia (USG), U.S. Army Medical Research Institute of Infectious Diseases (USAMRIID), School of Veterinary Medicine, Department of Pathobiological Sciences, University of Wisconsin-Madison-Influenza Research Institute, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Columbia Mailman School of Public Health, Columbia University [New York], The University of Texas Medical Branch (UTMB), Integrated Research Facility at Fort Detrick, National Institute of Allergy and Infectious Diseases, National Institutes of Health, College of Veterinary Medicine and Biomedical Sciences, Colorado State University [Fort Collins] (CSU), Albert Einstein College of Medicine [New York], Department of Anthropology [Montréal], McGill University = Université McGill [Montréal, Canada], Wildlife Conservation Society (WCS), Primate Research Institute, Kyoto University, University of California [San Francisco] (UC San Francisco), University of California (UC), Avian Disease Research Division, Animal and Plant Quarantine Agency, National Institute of Allergy and Infectious Diseases [Bethesda] (NIAID-NIH), National Institutes of Health [Bethesda] (NIH), Queensland Alliance for Agriculture and Food Innovation (QAAFI), University of Queensland [Brisbane], Department of Botany and Plant Pathology, Oregon State University (OSU), Center for Genome Research and Biocomputing, Philipps Universität Marburg = Philipps University of Marburg, University of Chicago, IDT Biologika, School of Life Sciences, University of Warwick [Coventry], Department of Biochemistry and Molecular Biology, University of Rochester [USA], Institute of Health Carlos III, Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Department of Viroscience [Rotterdam, The Netherlands], Erasmus University Medical Center [Rotterdam] (Erasmus MC), Institute of Molecular Virology and Cell Biology, Federal Research Institute for Animal Health - Friedrich-Loeffler-Institut, Center for Genomics and Systems Biology, Department of Biology [New York], New York University [New York] (NYU), NYU System (NYU)-NYU System (NYU)-New York University [New York] (NYU), NYU System (NYU)-NYU System (NYU), Public Health England [Salisbury] (PHE), Kagoshima University, Murdoch University, State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University [Wuhan] (HZAU), Makerere University [Kampala, Ouganda] (MAK), Research Centre in Infectious Diseases, CHUL Research Centre and Department of Microbiology and Immunology, Université Laval [Québec] (ULaval)-Faculty of Medicine, Institute of Plant Science and Resources, Okayama University, National Center for Biotechnology Information (NCBI), Biologie Moléculaire du Gène chez les Extrêmophiles (BMGE), Institut Pasteur [Paris] (IP), US Geological Survey [Seattle], United States Geological Survey [Reston] (USGS), Northwestern University [Evanston], Icahn School of Medicine at Mount Sinai [New York] (MSSM), Centre International de Recherches Médicales de Franceville (CIRMF), Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Neuromuscular Diagnostic Laboratory, University of Minnesota [Twin Cities] (UMN), University of Minnesota System-University of Minnesota System, Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Universidad de Chile = University of Chile [Santiago] (UCHILE), Novosibirsk State University (NSU), Department of Medicine [San Francisco], University of California (UC)-University of California (UC), University of Veterinary Medicine [Vienna] (Vetmeduni), Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU), Texas Biomedical Research Institute [San Antonio, TX], National Institute for Communicable Diseases [Johannesburg] (NICD), Queen's University [Belfast] (QUB), National Center for Immunization and Respiratory Diseases, CDC, Centers for Disease Control and Prevention (CDC), University of Freiburg [Freiburg], University of Bristol [Bristol], Defence Science and Technology Laboratory (Dstl), Ministry of Defence (UK) (MOD), University of Missouri [Columbia] (Mizzou), University of Missouri System, Department of Microbiology, Immunology and Pathology, Centre for Environment, Fisheries and Aquaculture Science [Weymouth] (CEFAS), Hokkaido University [Sapporo, Japan], Universidade de São Paulo - USP (BRAZIL), Institute for Virus Research, Stratégies antivirales, Institut Pasteur de Guinée, Réseau International des Instituts Pasteur (RIIP), Viral Special Pathogens Branch, Centers for Disease Control and Prevention-WHO Collaborative Centre for Viral Hemorrhagic Fevers, Facultad de Ciencias Veterinarias [Buenos Aires], Universidad de Buenos Aires [Buenos Aires] (UBA), Bases moléculaires de la pathogénicité virale – Molecular Basis of Viral Pathogenicity (BMPV), Centre International de Recherche en Infectiologie (CIRI), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), National Biodefense Analysis and Countermeasures Center [Frederick], U.S. Social Security Administration, CSIRO Health & Biosecurity, Department of Agriculture, Fisheries and Forestry, Ecoscience Precinct, GPO Box 267, Brisbane, Duke-NUS Medical School [Singapore], University of Florida [Gainesville] (UF), University of Nebraska Medical Center, University of Nebraska System, Kansas State University, State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences (CAAS), State Key Laboratory for Infectious Disease prevention and Control, Beijing Institute of Technology (BIT), Army Medical Research Institute of Infectious Diseases [USA] (USAMRIID), Albert Einstein College of Medicine, McGill University, Kyoto University [Kyoto], University of California [San Francisco] (UCSF), University of California, Queensland Alliance for Agriculture and Food Innovation, University of Queensland (UQ), Philipps University of Marburg, Warwick University, Public Health England [Porton Down, Salisbury], Huazhong Agricultural University, Makerere University (MAK), Faculty of Medicine-Laval University [Québec], Okayama University [Okayama], Institut Pasteur [Paris], Centre International de Recherches Médicales de Franceville, University of Minnesota [Twin Cities], Universidad de Chile, University of California-University of California, Texas Biomedical Research Institute [San Antonio, Texas], National Institute for Communicable Diseases (NICD), Centre for Experimental Medicine [Queen’s University of Belfast], University of Bristol (School of Cellular and Molecular Medicine), University of Missouri [Columbia], Hokkaido University, Bases moléculaires de la pathogénicité virale – Molecular Basis of Viral Pathogenicity, Centre International de Recherche en Infectiologie - UMR (CIRI), Institut National de la Santé et de la Recherche Médicale (INSERM)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Duke NUS Medical School, University of Florida [Gainesville], and Virology
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0301 basic medicine ,Order Mononegavirales ,040301 veterinary sciences ,Mononegavirales Infections ,04 agricultural and veterinary sciences ,General Medicine ,Biology ,Data science ,Virology ,[SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology ,Article ,0403 veterinary science ,03 medical and health sciences ,030104 developmental biology ,[SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology ,Humans ,Animals ,[SDV.IMM]Life Sciences [q-bio]/Immunology ,Taxonomy (biology) ,Mononegavirales ,Phylogeny - Abstract
International audience; In 2018, the order Mononegavirales was expanded by inclusion of 1 new genus and 12 novel species. This article presents the updated taxonomy of the order Mononegavirales as now accepted by the International Committee on Taxonomy of Viruses (ICTV) and summarizes additional taxonomic proposals that may affect the order in the near future.
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- 2018
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5. Quantifying influenza virus diversity and transmission in humans
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Joseph S. M. Peiris, Yi Guan, Timothy B. Stockwell, Bin Zhou, Leo L.M. Poon, Benjamin Greenbaum, Matthew B. Rogers, Alan Twaddle, Robert Sebra, Xudong Lin, Jay V. DePasse, Edward C. Holmes, Benjamin J. Cowling, Timothy Song, Roni Rosenfeld, Elodie Ghedin, Rebecca A. Halpin, and David E. Wentworth
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next generation sequencing ,0301 basic medicine ,Genetics ,Genetic diversity ,Host (biology) ,viruses ,Population genetics ,virus transmission ,Biology ,medicine.disease_cause ,Article ,Virus ,diversity ,3. Good health ,03 medical and health sciences ,030104 developmental biology ,Effective population size ,Influenza A virus ,evolution ,Evolution of influenza ,Genetic variation ,medicine - Abstract
Influenza A virus is characterized by high genetic diversity. However, most of what is known about influenza evolution has come from consensus sequences sampled at the epidemiological scale that only represent the dominant virus lineage within each infected host. Less is known about the extent of within-host virus diversity and what proportion of this diversity is transmitted between individuals. To characterize virus variants that achieve sustainable transmission in new hosts, we examined within-host virus genetic diversity in household donor-recipient pairs from the first wave of the 2009 H1N1 pandemic when seasonal H3N2 was co-circulating. Although the same variants were found in multiple members of the community, the relative frequencies of variants fluctuated, with patterns of genetic variation more similar within than between households. We estimated the effective population size of influenza A virus across donor-recipient pairs to be approximately 100-200 contributing members, which enabled the transmission of multiple lineages, including antigenic variants.
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- 2016
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6. Intrahost Dynamics of Antiviral Resistance in Influenza A Virus Reflect Complex Patterns of Segment Linkage, Reassortment, and Natural Selection
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Adam Fitch, Robert Sebra, Marie-Ève Hamelin, Matthew B. Rogers, Elodie Ghedin, Edward C. Holmes, Guy Boivin, Lijia Cui, Benjamin Greenbaum, Alan Twaddle, and Timothy Song
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Population ,Reassortment ,Molecular Sequence Data ,Hemagglutinin (influenza) ,Biology ,medicine.disease_cause ,Microbiology ,Antiviral Agents ,Virus ,Evolution, Molecular ,03 medical and health sciences ,Virology ,Drug Resistance, Viral ,Influenza, Human ,Influenza A virus ,medicine ,Humans ,Selection, Genetic ,education ,030304 developmental biology ,Genetics ,0303 health sciences ,education.field_of_study ,Natural selection ,Phylogenetic tree ,030306 microbiology ,Influenza A Virus, H3N2 Subtype ,Sequence Analysis, DNA ,QR1-502 ,3. Good health ,biology.protein ,RNA, Viral ,Selective sweep ,Research Article - Abstract
Resistance following antiviral therapy is commonly observed in human influenza viruses. Although this evolutionary process is initiated within individual hosts, little is known about the pattern, dynamics, and drivers of antiviral resistance at this scale, including the role played by reassortment. In addition, the short duration of human influenza virus infections limits the available time window in which to examine intrahost evolution. Using single-molecule sequencing, we mapped, in detail, the mutational spectrum of an H3N2 influenza A virus population sampled from an immunocompromised patient who shed virus over a 21-month period. In this unique natural experiment, we were able to document the complex dynamics underlying the evolution of antiviral resistance. Individual resistance mutations appeared weeks before they became dominant, evolved independently on cocirculating lineages, led to a genome-wide reduction in genetic diversity through a selective sweep, and were placed into new combinations by reassortment. Notably, despite frequent reassortment, phylogenetic analysis also provided evidence for specific patterns of segment linkage, with a strong association between the hemagglutinin (HA)- and matrix (M)-encoding segments that matches that previously observed at the epidemiological scale. In sum, we were able to reveal, for the first time, the complex interaction between multiple evolutionary processes as they occur within an individual host., IMPORTANCE Understanding the evolutionary forces that shape the genetic diversity of influenza virus is crucial for predicting the emergence of drug-resistant strains but remains challenging because multiple processes occur concurrently. We characterized the evolution of antiviral resistance in a single persistent influenza virus infection, representing the first case in which reassortment and the complex patterns of drug resistance emergence and evolution have been determined within an individual host. Deep-sequence data from multiple time points revealed that the evolution of antiviral resistance reflects a combination of frequent mutation, natural selection, and a complex pattern of segment linkage and reassortment. In sum, these data show how immunocompromised hosts may help reveal the drivers of strain emergence.
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- 2015
7. Deliberate attenuation of chikungunya virus by adaptation to heparan sulfate-dependent infectivity: a model for rational arboviral vaccine design
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William B. Klimstra, Christina L. Gardner, Elodie Ghedin, Jozef Hritz, Stephen Higgs, Dana L. Vanlandingham, Kate D. Ryman, Timothy Song, and Chengqun Sun
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Models, Molecular ,Adaptation, Biological ,Pathogenesis ,medicine.disease_cause ,chemistry.chemical_compound ,Mice ,Viral Envelope Proteins ,Emerging Viral Diseases ,Chikungunya ,Immune Response ,Infectivity ,0303 health sciences ,biology ,Virulence ,lcsh:Public aspects of medicine ,virus diseases ,Heparan sulfate ,3. Good health ,Host-Pathogen Interaction ,Infectious Diseases ,Cytokines ,Chikungunya virus ,Research Article ,Sindbis virus ,lcsh:Arctic medicine. Tropical medicine ,lcsh:RC955-962 ,Immunology ,Static Electricity ,Alphavirus ,Immunopathology ,Viral Structure ,Vaccines, Attenuated ,Microbiology ,Virus ,03 medical and health sciences ,Virology ,medicine ,Animals ,Biology ,030304 developmental biology ,030306 microbiology ,Public Health, Environmental and Occupational Health ,RNA virus ,Viral Vaccines ,lcsh:RA1-1270 ,biology.organism_classification ,Antibodies, Neutralizing ,Viral Replication ,Animal Models of Infection ,Emerging Infectious Diseases ,chemistry ,Amino Acid Substitution ,Togaviridae ,Virulence Factors and Mechanisms ,Mutation ,Heparitin Sulfate - Abstract
Mosquito-borne chikungunya virus (CHIKV) is a positive-sense, single-stranded RNA virus from the genus Alphavirus, family Togaviridae, which causes fever, rash and severe persistent polyarthralgia in humans. Since there are currently no FDA licensed vaccines or antiviral therapies for CHIKV, the development of vaccine candidates is of critical importance. Historically, live-attenuated vaccines (LAVs) for protection against arthropod-borne viruses have been created by blind cell culture passage leading to attenuation of disease, while maintaining immunogenicity. Attenuation may occur via multiple mechanisms. However, all examined arbovirus LAVs have in common the acquisition of positively charged amino acid substitutions in cell-surface attachment proteins that render virus infection partially dependent upon heparan sulfate (HS), a ubiquitously expressed sulfated polysaccharide, and appear to attenuate by retarding dissemination of virus particles in vivo. We previously reported that, like other wild-type Old World alphaviruses, CHIKV strain, La Réunion, (CHIKV-LR), does not depend upon HS for infectivity. To deliberately identify CHIKV attachment protein mutations that could be combined with other attenuating processes in a LAV candidate, we passaged CHIKV-LR on evolutionarily divergent cell-types. A panel of single amino acid substitutions was identified in the E2 glycoprotein of passaged virus populations that were predicted to increase electrostatic potential. Each of these substitutions was made in the CHIKV-LR cDNA clone and comparisons of the mutant viruses revealed surface exposure of the mutated residue on the spike and sensitivity to competition with the HS analog, heparin, to be primary correlates of attenuation in vivo. Furthermore, we have identified a mutation at E2 position 79 as a promising candidate for inclusion in a CHIKV LAV., Author Summary With the adaptation of chikungunya virus (CHIKV) to transmission by the Aedes albopictus mosquito, a pandemic has occurred resulting in four to six million human infections, and the virus continues to become endemic in new regions, most recently in the Caribbean. CHIKV can cause debilitating polyarthralgia, lasting for weeks to years, and there are currently no licensed vaccines or antiviral therapies available. While an investigational live-attenuated vaccine (LAV) exists, problems with reactogenicity have precluded its licensure. The purpose of the current study was to: i) devise an in vitro passage procedure that reliably generates a panel of CHIKV envelope glycoprotein mutations for screening as vaccine candidates; ii) determine the position of the mutations in the three-dimensional structure of the alphavirus spike complex and their effect on electrostatic potential; iii) determine the attenuation characteristics of each mutation in a murine model of CHIKV musculoskeletal disease; and iv) to identify in vitro assays examining the dependency of infection upon HS that correlate with attenuation and localization in the glycoprotein spike. This approach provides a paradigm for the rational design of future LAVs for CHIKV and other mosquito-borne viruses, by deliberately selecting and combining attenuating processes.
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- 2014
8. Length constraints of multi-domain proteins in metazoans
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Sarah Middleton, Sudhir Nayak, and Timothy Song
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Linear function (calculus) ,General Medicine ,Computational biology ,Biology ,Hypothesis ,computer.software_genre ,Genome ,Domain (software engineering) ,Multi domain ,Ensembl ,Data mining ,Protein length ,Animal species ,computer ,Function (biology) - Abstract
The increasing number of annotated genome sequences in public databases has made it possible to study the length distributions and domain composition of proteins at unprecedented resolution. To identify factors that influence protein length in metazoans, we performed an analysis of all domainannotated proteins from a total of 49 animal species from Ensembl (v.56) or EnsemblMetazoa (v.3). Our results indicate that protein length constraints are not fixed as a linear function of domain count and can vary based on domain content. The presence of repeating domains was associated with relaxation of the constraints that govern protein length. Conversely, for proteins with unique domains, length constraints were generally maintained with increased domain counts. It is clear that mean (and median) protein length and domain composition vary significantly between metazoans and other kingdoms; however, the connections between function, domain content, and length are unclear. We incorporated Gene Ontology (GO) annotation to identify biological processes, cellular components, or molecular functions that favor the incorporation of multidomain proteins. Using this approach, we identified multiple GO terms that favor the incorporation of multi-domain proteins; interestingly, several of the GO terms with elevated domain counts were not restricted to a single gene family. The findings presented here represent an important step in resolving the complex relationship between protein length, function, and domain content. The comparison of the data presented in this work to data from other kingdoms is likely to reveal additional differences in the regulation of protein length.
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- 2010
9. A function-blocking CD47 antibody suppresses stem cell and EGF signaling in triple-negative breast cancer
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Weiwei Wu, Susan H. Garfield, Daoud Meerzaman, Nidhi Manu, Abdel G. Elkahloun, Satya P. Singh, Qing-Rong Chen, Poonam Mannan, Sukhbir Kaur, Timothy Song, and David D. Roberts
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cancer stem cells ,0301 basic medicine ,therapeutic antibodies ,Triple Negative Breast Neoplasms ,Thrombospondin 1 ,0302 clinical medicine ,Epidermal growth factor ,Medicine ,Epidermal growth factor receptor ,Phosphorylation ,Receptors, Immunologic ,CD47 ,skin and connective tissue diseases ,Triple-negative breast cancer ,Microscopy, Confocal ,biology ,Reverse Transcriptase Polymerase Chain Reaction ,ErbB Receptors ,Gene Expression Regulation, Neoplastic ,Oncology ,KLF4 ,030220 oncology & carcinogenesis ,MCF-7 Cells ,Neoplastic Stem Cells ,triple-negative breast cancer ,Female ,Stem cell ,Signal transduction ,Signal Transduction ,Research Paper ,medicine.medical_specialty ,Blotting, Western ,CD47 Antigen ,Cell Line ,Kruppel-Like Factor 4 ,03 medical and health sciences ,Cancer stem cell ,Cell Line, Tumor ,Internal medicine ,Humans ,Antibodies, Blocking ,Cell Proliferation ,Epidermal Growth Factor ,business.industry ,Gene Expression Profiling ,Antigens, Differentiation ,MicroRNAs ,030104 developmental biology ,Endocrinology ,Cancer research ,biology.protein ,epidermal growth factor receptor ,business - Abstract
CD47 is a signaling receptor for thrombospondin-1 and the counter-receptor for signal-regulatory protein-α (SIRPα). By inducing inhibitory SIRPα signaling, elevated CD47 expression by some cancers prevents macrophage phagocytosis. The anti-human CD47 antibody B6H12 inhibits tumor growth in several xenograft models, presumably by preventing SIRPα engagement. However, CD47 signaling in nontransformed and some malignant cells regulates self-renewal, suggesting that CD47 antibodies may therapeutically target cancer stem cells (CSCs). Treatment of MDA-MB-231 breast CSCs with B6H12 decreased proliferation and asymmetric cell division. Similar effects were observed in T47D CSCs but not in MCF7 breast carcinoma or MCF10A breast epithelial cells. Gene expression analysis in breast CSCs treated with B6H12 showed decreased expression of epidermal growth factor receptor (EGFR) and the stem cell transcription factor KLF4. EGFR and KLF4 mRNAs are known targets of microRNA-7, and B6H12 treatment correspondingly enhanced microRNA-7 expression in breast CSCs. B6H12 treatment also acutely inhibited EGF-induced EGFR tyrosine phosphorylation. Expression of B6H12-responsive genes correlated with CD47 mRNA expression in human breast cancers, suggesting that the CD47 signaling pathways identified in breast CSCs are functional in vivo. These data reveal a novel SIRPα-independent mechanism by which therapeutic CD47 antibodies could control tumor growth by autonomously forcing differentiation of CSC.
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