ArticleJournal of virology2016
High-Throughput Single-Cell Kinetics of Virus Infections in the Presence of Defective Interfering Particles.
Article in Journal of virology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
33 citing papers in PubMed, 43 citations in OpenAlex.
- From spark to wildfire: illuminating single-cell origins of virus infection spread and diversification.bioRxiv : the preprint server for biology · 2025Article
- All the single cells: if you like it then you should put some virus on it.Journal of virology · 2024Review
- Computational multigene interactions in virus growth and infection spread.Virus evolution · 2024Article
- Patch formation driven by stochastic effects of interaction between viruses and defective interfering particles.PLoS computational biology · 2023Article
- Single-Cell Infection of Influenza A Virus Using Drop-Based Microfluidics.Microbiology spectrum · 2022Article
- Viro-fluidics: Real-time analysis of virus production kinetics at the single-cell level.Biophysical reports · 2022Article
- Virus-like Particles: Measures and Biological Functions.Viruses · 2022Review
- Article
- Library-based analysis reveals segment and length dependent characteristics of defective influenza genomes.PLoS pathogens · 2021Article
- Multiscale model of defective interfering particle replication for influenza A virus infection in animal cell culture.PLoS computational biology · 2021Article
- Dengue virus-free defective interfering particles have potent and broad anti-dengue virus activity.Communications biology · 2021Article
- Modeling poliovirus replication dynamics from live time-lapse single-cell imaging data.Scientific reports · 2021Article
- Quantitative measurements of early alphaviral replication dynamics in single cells reveals the basis for superinfection exclusion.Cell systems · 2021Article
- Microfluidics in Single-Cell Virology: Technologies and Applications.Trends in biotechnology · 2020Review
- Review
- Article
- Single Cell Metabolomics: A Future Tool to Unmask Cellular Heterogeneity and Virus-Host Interaction in Context of Emerging Viral Diseases.Frontiers in microbiology · 2020Review
- Single-Cell Virus Sequencing of Influenza Infections That Trigger Innate Immunity.Journal of virology · 2019Article
- A Novel Type of Influenza A Virus-Derived Defective Interfering Particle with Nucleotide Substitutions in Its Genome.Journal of virology · 2019Article
- Defective Viral Genomes Alter How Sendai Virus Interacts with Cellular Trafficking Machinery, Leading to Heterogeneity in the Production of Viral Particles among Infected Cells.Journal of virology · 2019Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
unlabelledDefective 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.