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Virus Replication Strategies and the Critical CTL Numbers Required for the Control of Infection

Overview of attention for article published in PLoS Computational Biology, November 2011
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Title
Virus Replication Strategies and the Critical CTL Numbers Required for the Control of Infection
Published in
PLoS Computational Biology, November 2011
DOI 10.1371/journal.pcbi.1002274
Pubmed ID
Authors

Andrew J. Yates, Minus Van Baalen, Rustom Antia

Abstract

Vaccines that elicit protective cytotoxic T lymphocytes (CTL) may improve on or augment those designed primarily to elicit antibody responses. However, we have little basis for estimating the numbers of CTL required for sterilising immunity at an infection site. To address this we begin with a theoretical estimate obtained from measurements of CTL surveillance rates and the growth rate of a virus. We show how this estimate needs to be modified to account for (i) the dynamics of CTL-infected cell conjugates, and (ii) features of the virus lifecycle in infected cells. We show that provided the inoculum size of the virus is low, the dynamics of CTL-infected cell conjugates can be ignored, but knowledge of virus life-histories is required for estimating critical thresholds of CTL densities. We show that accounting for virus replication strategies increases estimates of the minimum density of CTL required for immunity over those obtained with the canonical model of virus dynamics, and demonstrate that this modeling framework allows us to predict and compare the ability of CTL to control viruses with different life history strategies. As an example we predict that lytic viruses are more difficult to control than budding viruses when net reproduction rates and infected cell lifetimes are controlled for. Further, we use data from acute SIV infection in rhesus macaques to calculate a lower bound on the density of CTL that a vaccine must generate to control infection at the entry site. We propose that critical CTL densities can be better estimated either using quantitative models incorporating virus life histories or with in vivo assays using virus-infected cells rather than peptide-pulsed targets.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
France 1 3%
India 1 3%
United Kingdom 1 3%
Mexico 1 3%
United States 1 3%
Unknown 34 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 40%
Student > Ph. D. Student 7 18%
Student > Master 3 8%
Librarian 2 5%
Student > Postgraduate 2 5%
Other 4 10%
Unknown 6 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 35%
Immunology and Microbiology 7 18%
Biochemistry, Genetics and Molecular Biology 3 8%
Engineering 3 8%
Mathematics 2 5%
Other 5 13%
Unknown 6 15%