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Single-Cell Virology: On-Chip Investigation of Viral Infection Dynamics.
Guo, Feng; Li, Sixing; Caglar, Mehmet Umut; Mao, Zhangming; Liu, Wu; Woodman, Andrew; Arnold, Jamie J; Wilke, Claus O; Huang, Tony Jun; Cameron, Craig E.
Afiliação
  • Guo F; Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
  • Li S; Molecular Cellular and Integrative Biosciences Graduate Program, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA.
  • Caglar MU; Center for Computational Biology and Bioinformatics, Institute for Cellular and Molecular Biology, and Department of Integrative Biology, The University of Texas at Austin, Austin, TX 78712, USA.
  • Mao Z; Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
  • Liu W; Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
  • Woodman A; Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
  • Arnold JJ; Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
  • Wilke CO; Center for Computational Biology and Bioinformatics, Institute for Cellular and Molecular Biology, and Department of Integrative Biology, The University of Texas at Austin, Austin, TX 78712, USA.
  • Huang TJ; Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA; Molecular Cellular and Integrative Biosciences Graduate Program, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA. Electronic
  • Cameron CE; Molecular Cellular and Integrative Biosciences Graduate Program, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA; Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA. Electroni
Cell Rep ; 21(6): 1692-1704, 2017 Nov 07.
Article em En | MEDLINE | ID: mdl-29117571
We have developed a high-throughput, microfluidics-based platform to perform kinetic analysis of viral infections in individual cells. We have analyzed thousands of individual poliovirus infections while varying experimental parameters, including multiplicity of infection, cell cycle, viral genotype, and presence of a drug. We make several unexpected observations masked by population-based experiments: (1) viral and cellular factors contribute uniquely and independently to viral infection kinetics; (2) cellular factors cause wide variation in replication start times; and (3) infections frequently begin later and replication occurs faster than predicted by population measurements. We show that mutational load impairs interaction of the viral population with the host, delaying replication start times and explaining the attenuated phenotype of a mutator virus. We show that an antiviral drug can selectively extinguish the most-fit members of the viral population. Single-cell virology facilitates discovery and characterization of virulence determinants and elucidation of mechanisms of drug action eluded by population methods.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poliovirus / Dispositivos Lab-On-A-Chip Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Cell Rep Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poliovirus / Dispositivos Lab-On-A-Chip Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Cell Rep Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos