High-Throughput Single-Cell Kinetics of Virus Infections in the Presence of Defective Interfering Particles

Fulya Akpinar1, Andrea Timm1, John Yin2

  • 1Systems Biology Theme, Wisconsin Institute for Discovery, Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Journal of Virology
|November 27, 2015
PubMed
Abstract

Insights

Defective interfering particles (DIPs) hinder virus growth by diverting viral proteins. Cell-to-cell interactions influence DIPs' impact on virus production, with models predicting infection dynamics.

Area of Science:

  • Virology
  • Molecular Biology
  • Cell Biology

Background:

  • Defective interfering particles (DIPs) are viral mutants lacking essential genes, interfering with helper virus replication.
  • Coinfections with DIPs can alter virus production and potentially evade host immune responses.
  • Understanding DIPs' mechanisms is crucial due to their increasing prevalence and therapeutic potential.

Purpose of the Study:

  • To investigate the impact of defective interfering particles (DIPs) on virus production at the single-cell level.
  • To elucidate the role of cell-cell interactions in modulating DIP interference.
  • To develop quantitative models for predicting virus-DIP coinfection kinetics.

Main Methods:

  • Coinfection of BHK cells with vesicular stomatitis virus (VSV) DIPs and a recombinant helper virus expressing red fluorescent protein (RFP).
  • Single-cell analysis of RFP expression to monitor viral gene expression and virus release timing.
  • Utilizing microwell arrays to isolate cells and study DIP effects in the absence of cell-cell interactions.
  • Developing a gamma distribution model to capture infection kinetics.

Main Results:

  • DIPs significantly suppressed viral gene expression and virus yield, with effects amplified in isolated cells compared to monolayer cultures.
  • In monolayer cultures, DIPs primarily slowed and reduced viral gene expression rather than completely suppressing it in most cells.
  • In isolated cells, DIPs caused a 100-fold reduction in virus yield and extended latent times significantly.
  • Cell-cell interactions in monolayers appeared to mitigate the complete suppression of virus production by DIPs.

Conclusions:

  • Cell-cell interactions play a critical role in limiting the extent of defective interfering particle-mediated suppression of virus growth.
  • Quantitative models, such as the gamma distribution model, can effectively predict virus infection kinetics based on DIP dose.
  • Further research into DIPs can advance predictive biology for virus growth and infection spread, aiding therapeutic development.

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