Cell-free transmission of human adenovirus by passive mass transfer in cell culture simulated in a computer model

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Artur Yakimovich - , University of Zurich (Author)
  • Heidi Gumpert - , ETH Zurich (Author)
  • Christoph J. Burckhardt - , Harvard Medical School (HMS) (Author)
  • Verena A. Lütschg - , University of Zurich (Author)
  • Andreas Jurgeit - , University of Zurich (Author)
  • Ivo F. Sbalzarini - , ETH Zurich (Author)
  • Urs F. Greber - , University of Zurich (Author)

Abstract

Viruses spread between cells, tissues, and organisms by cell-free and cell-cell transmissions. Both mechanisms enhance disease development, but it is difficult to distinguish between them. Here, we analyzed the transmission mode of human adenovirus (HAdV) in monolayers of epithelial cells by wet laboratory experimentation and a computer simulation. Using live-cell fluorescence microscopy and replication-competent HAdV2 expressing green fluorescent protein, we found that the spread of infection invariably occurred after cell lysis. It was affected by convection and blocked by neutralizing antibodies but was independent of second-round infections. If cells were overlaid with agarose, convection was blocked and round plaques developed around lytic infected cells. Infected cells that did not lyse did not give rise to plaques, highlighting the importance of cell-free transmission. Key parameters for cell-free virus transmission were the time from infection to lysis, the dose of free viruses determining infection probability, and the diffusion of single HAdV particles in aqueous medium. With these parameters, we developed an in silico model using multiscale hybrid dynamics, cellular automata, and particle strength exchange. This so-called white box model is based on experimentally determined parameters and reproduces viral infection spreading as a function of the local concentration of free viruses. These analyses imply that the extent of lytic infections can be determined by either direct plaque assays or can be predicted by calculations of virus diffusion constants and modeling.

Details

Original languageEnglish
Pages (from-to)10123-10137
Number of pages15
JournalJournal of virology
Volume86
Issue number18
Publication statusPublished - Sept 2012
Peer-reviewedYes
Externally publishedYes

External IDs

PubMed 22787215
ORCID /0000-0003-4414-4340/work/159608294

Keywords