Literature DB >> 11742660

Rapid confirmation by RFLP of transfer to vaccine candidate reassortment viruses of the principal 'high yield' gene of influenza A viruses.

Ian Brett1, John Werber, Edwin D Kilbourne.   

Abstract

Influenza vaccines must be revised constantly on almost a yearly basis because of the sequential mutations (antigenic drift) that occur as the virus responds to immunologic pressure. New, high yield (hy) reassortant viruses have proved essential to meet production needs for the supply of new vaccines. We have devised a method for simple, rapid and precise identification of the principal influenza A virus RNA segment (RNA 7) associated with hy and transferred from the hy donor virus, A/PR/8/34 (H1N1). The method entails the use of a single restriction enzyme, Bsgl, in analysis by restriction fragment length polymorphism (RFLP) of reverse transcriptase-polymerase chain reaction (RT-PCR)-generated DNA amplicons. The method clearly distinguishes the RNA coding for the M proteins of the donor virus from that of representative and epidemiologically significant human wild type viruses of the past 60 years. In the course of this methodological study further evidence has been found of the variability of the so-called 'invariant' and stable M1 and M2 proteins of the virus. Another finding of potentially basic significance that merits further study is the occurrence of a consistent change at the same amino acid (aa) site of the donated RNA 7 upon its transfer to reassortant viruses.

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Year:  2002        PMID: 11742660     DOI: 10.1016/s0166-0934(01)00412-8

Source DB:  PubMed          Journal:  J Virol Methods        ISSN: 0166-0934            Impact factor:   2.014


  2 in total

1.  Gene constellation of influenza A virus reassortants with high growth phenotype prepared as seed candidates for vaccine production.

Authors:  Andrew A Fulvini; Manojkumar Ramanunninair; Jianhua Le; Barbara A Pokorny; Jennifer Minieri Arroyo; Jeanmarie Silverman; Rene Devis; Doris Bucher
Journal:  PLoS One       Date:  2011-06-13       Impact factor: 3.240

Review 2.  Evolving gene targets and technology in influenza detection.

Authors:  Anthony P Malanoski; Baochuan Lin
Journal:  Mol Diagn Ther       Date:  2013-10       Impact factor: 4.074

  2 in total

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