ArticleJournal of the Royal Society, Interface2011
Effect of different modes of viral spread on the dynamics of multiply infected cells in human immunodeficiency virus infection.
Article in Journal of the Royal Society, Interface, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 36 citations in OpenAlex.
- Spatially structured models of viral dynamics: a scoping review.Microbiology and molecular biology reviews : MMBR · 2025Article
- Spatial information allows inference of the prevalence of direct cell-to-cell viral infection.PLoS computational biology · 2024Article
- Incorporating Intracellular Processes in Virus Dynamics Models.Microorganisms · 2024Review
- Superinfection exclusion: A viral strategy with short-term benefits and long-term drawbacks.PLoS computational biology · 2022Article
- Review
- The role of spatial structure in the evolution of viral innate immunity evasion: A diffusion-reaction cellular automaton model.PLoS computational biology · 2020Article
- Within-host infectious disease models accommodating cellular coinfection, with an application to influenza.Virus evolution · 2019Article
- Multiple infection of cells changes the dynamics of basic viral evolutionary processes.Evolution letters · 2019Article
- Number of infection events per cell during HIV-1 cell-free infection.Scientific reports · 2017Article
- Quantification of Hepatitis C Virus Cell-to-Cell Spread Using a Stochastic Modeling Approach.Journal of virology · 2015Article
- Modeling multiple infection of cells by viruses: Challenges and insights.Mathematical biosciences · 2015Article
- Mathematical modeling of viral infection dynamics in spherical organs.Journal of mathematical biology · 2013Article
- Virus dynamics in the presence of synaptic transmission.Mathematical biosciences · 2013Article
- Synaptic transmission and the susceptibility of HIV infection to anti-viral drugs.Scientific reports · 2013Article
- Competition-colonization trade-off promotes coexistence of low-virulence viral strains.Journal of the Royal Society, Interface · 2012Article
- Impaired immune evasion in HIV through intracellular delays and multiple infection of cells.Proceedings. Biological sciences · 2012Article
- Increased burst size in multiply infected cells can alter basic virus dynamics.Biology direct · 2012Article
- Viral determinants of HIV-1 macrophage tropism.Viruses · 2011Review
- Multiploid inheritance of HIV-1 during cell-to-cell infection.Journal of virology · 2011Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Infection of individual cells with more than one HIV particle is an important feature of HIV replication, which may contribute to HIV pathogenesis via the occurrence of recombination, viral complementation and other outcomes that influence HIV replication and evolutionary dynamics. A previous mathematical model of co-infection has shown that the number of cells infected with i viruses correlates with the ith power of the singly infected cell population, and this has partly been observed in experiments. This model, however, assumed that virus spread from cell to cell occurs only via free virus particles, and that viruses and cells mix perfectly. Here, we introduce a cellular automaton model that takes into account different modes of virus spread among cells, including cell to cell transmission via the virological synapse, and spatially constrained virus spread. In these scenarios, it is found that the number of multiply infected cells correlates linearly with the number of singly infected cells, meaning that co-infection plays a greater role at lower virus loads. The model further indicates that current experimental systems that are used to study co-infection dynamics fail to reflect the true dynamics of multiply infected cells under these specific assumptions, and that new experimental techniques need to be designed to distinguish between the different assumptions.
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Registered trials
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.