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The cellular stress response increases measles virus-induced cytopathic effect

D Vasconcelos1, E Norrby, M Oglesbee

  • 1Department of Veterinary Biosciences, The Ohio State University, Columbus 43210-1093, USA.

The Journal of General Virology
|July 29, 1998
PubMed

Insights

Cellular stress response influences measles virus plaque size in Vero cells. This affects viral transcription and fusion glycoprotein expression, impacting neurovirulence prediction.

Area of Science:

  • Virology
  • Cell Biology
  • Molecular Biology

Background:

  • Plaque area quantifies cytopathic effect and predicts morbillivirus neurovirulence in cell culture.
  • Measles virus (MeV) exhibits distinct plaque phenotypes, with large plaques potentially indicating altered virulence.

Purpose of the Study:

  • To investigate the role of cellular stress response in the development of distinct measles virus large plaque phenotypes.
  • To determine the association between large plaque phenotypes and viral gene expression or receptor utilization.

Main Methods:

  • Utilized Vero cells to culture measles virus and induce distinct plaque phenotypes.
  • Analyzed viral transcriptional activity and expression of the viral fusion glycoprotein.
  • Assessed the expression of the virus receptor CD46 in relation to plaque size.

Main Results:

  • Cellular stress response was identified as a key determinant for expressing distinct measles virus large plaque phenotypes.
  • Emergence of large plaque phenotypes correlated with increased mean viral transcriptional activity.
  • Increased expression of the viral fusion glycoprotein was observed in large plaque phenotypes.
  • No significant upregulation of the virus receptor CD46 was detected in association with large plaques.

Conclusions:

  • Cellular stress significantly impacts measles virus plaque morphology and gene expression.
  • The cellular stress response is a critical factor in modulating measles virus virulence phenotypes.
  • Understanding these mechanisms may refine neurovirulence prediction for morbilliviruses.

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