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      Real-time RT-qPCR assay for the analysis of human influenza A virus transcription and replication dynamics

      , , , , , ,   ,
      Journal of Virological Methods
      Elsevier BV

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          Abstract

          A quantitative real-time reverse transcriptase PCR (RT-qPCR) assay was developed for the analysis of influenza A virus transcription and replication dynamics in mammalian cell culture. The assay is based on a polarity- and sequence-specific reverse transcription used to distinguish specifically between viral genomes (vRNA(-)), replicative intermediates (cRNA(+)) and viral messenger RNAs (vmRNA(+)) of segments 4 (HA), 6 (NA), 7 (M) and 8 (NS) during the life cycle of influenza virus. Synthetic viral RNAs used as reference standards for validation and quantitation were prepared for each viral RNA type and segment. Assay validation demonstrated linearity over five orders of magnitude, sensitivity of 1.0 x 10(3) to 8.9 x 10(3) of viral RNA molecules, repeatability and reproducibility of less than 0.8-3.1% CV (coefficient of variation). Dynamics of influenza A virus infection in adherent MDCK cells, a substrate considered for human influenza vaccine manufacturing, were analyzed. In general, mainly vmRNA(+) were synthesized during early phases of infection at about 0.6 hpi, followed immediately by cRNA(+) synthesis and after a short delay of about 1.9 hpi viral genome replication could be detected. The vRNA(-)s were synthesized in equimolar amounts and similar dynamics whereas preferential synthesis of NS1 vmRNA(+) in early transcription phases and a delay for M1 vmRNA(+) was found. Copyright 2010 Elsevier B.V. All rights reserved.

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          Author and article information

          Journal
          Journal of Virological Methods
          Journal of Virological Methods
          Elsevier BV
          01660934
          September 2010
          September 2010
          : 168
          : 1-2
          : 63-71
          Article
          10.1016/j.jviromet.2010.04.017
          20433869
          59683b64-3136-4cd8-87a0-a27fde7a83ad
          © 2010

          https://www.elsevier.com/tdm/userlicense/1.0/

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