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.
Unlabelled:
Defective interfering particles (DIPs) are virus mutants that lack essential genes for growth. In coinfections with helper virus, the diversion of viral proteins to the replication and packaging of DIP genomes can interfere with virus production. Mounting cases of DIPs and DIP-like genomes in clinical and natural isolates, as well as growing interest in DIP-based therapies, underscore a need to better elucidate how DIPs work. DIP activity is primarily measured by its inhibition of virus infection yield, an endpoint that masks the dynamic and potentially diverse individual cell behaviors. Using vesicular stomatitis virus (VSV) as a model, we coinfected BHK cells with VSV DIPs and recombinant helper virus carrying a gene encoding a red fluorescent protein (RFP) whose expression correlates with the timing and level of virus release. For single cells within a monolayer, 10 DIPs per cell suppressed the reporter expression in only 1.2% of the cells. In most cells, it slowed and reduced viral gene expression, manifested as a shift in mean latent time from 4 to 6 h and reduced virus yields by 10-fold. For single cells isolated in microwells, DIP effects were more pronounced, reducing virus yields by 100-fold and extending latent times to 12 h, including individual instances above 20 h. Together, these results suggest that direct or indirect cell-cell interactions prevent most coinfected cells from being completely suppressed by DIPs. Finally, a gamma distribution model captures well how the infection kinetics quantitatively depends on the DIP dose. Such models will be useful for advancing a predictive biology of DIP-associated virus growth and infection spread.
Importance:
During the last century, basic studies in virology have focused on developing a molecular mechanistic understanding of how infectious viruses reproduce in their living host cells. However, over the last 10 years, the advent of deep sequencing and other powerful technologies has revealed in natural and patient infections that viruses do not act alone. Instead, viruses are often accompanied by defective virus-like particles that carry large deletions in their genomes and fail to replicate on their own. Coinfections of viable and defective viruses behave in unpredictable ways, but they often interfere with normal virus growth, potentially enabling infections to evade host immune surveillance. In the current study, controlled levels of defective viruses are coinfected with viable viruses that have been engineered to express a fluorescent reporter protein during infection. Unique profiles of reporter expression acquired from thousands of coinfected cells reveal how interference acts at multiple stages of infection.
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.


