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Efficient and Robust <i>Paramyxoviridae</i> Reverse Genetics Systems
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- Shannon M. Beaty
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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- Arnold Park
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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- Sohui T. Won
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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- Patrick Hong
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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- Michael Lyons
- Department of Microbiology, Immunology, and Molecular Genetics, University of California Los Angeles, Los Angeles, California, USA
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- Frederic Vigant
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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- Alexander N. Freiberg
- Department of Pathology, University of Texas Medical Branch, Galveston, Texas, USA
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- Benjamin R. tenOever
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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- W. Paul Duprex
- Department of Microbiology, Boston University School of Medicine, Boston, Massachusetts, USA
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- Benhur Lee
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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- Christina F. Spiropoulou
- editor
Description
<jats:p>The ability to manipulate the genome of paramyxoviruses and evaluate the effects of these changes at the phenotypic level is a powerful tool for the investigation of specific aspects of the viral life cycle and viral pathogenesis. However, reverse genetics systems for paramyxoviruses are notoriously inefficient, when successful. The ability to efficiently and robustly rescue paramyxovirus reverse genetics systems can be used to answer basic questions about the biology of paramyxoviruses, as well as to facilitate the considerable translational efforts being devoted to developing live attenuated paramyxovirus vaccine vectors.</jats:p>
Journal
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- mSphere
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mSphere 2 (2), 2017-04-26
American Society for Microbiology
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Details 詳細情報について
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- CRID
- 1360294647075491712
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- ISSN
- 23795042
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- Data Source
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- Crossref