2010
DOI: 10.1371/journal.pone.0012303
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Transmission of Single HIV-1 Genomes and Dynamics of Early Immune Escape Revealed by Ultra-Deep Sequencing

Abstract: We used ultra-deep sequencing to obtain tens of thousands of HIV-1 sequences from regions targeted by CD8+ T lymphocytes from longitudinal samples from three acutely infected subjects, and modeled viral evolution during the critical first weeks of infection. Previous studies suggested that a single virus established productive infection, but these conclusions were tempered because of limited sampling; now, we have greatly increased our confidence in this observation through modeling the observed earliest sampl… Show more

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Cited by 266 publications
(334 citation statements)
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“…Starting from this view, a population dynamicstype model 11,12 was previously developed by Welte and Walwyn 13 to capture the initial exposure of susceptible immune system cells to HIV virions. Whether or not an exposure develops into systemic infection is determined by random events within a life cycle model, which includes background and immune system-mediated hazards for invading free virions, cell invasion leading to a first-generation of infected cells, and cell-to-cell transmission of virions.…”
Section: Modelling Hiv Transmissionmentioning
confidence: 99%
“…Starting from this view, a population dynamicstype model 11,12 was previously developed by Welte and Walwyn 13 to capture the initial exposure of susceptible immune system cells to HIV virions. Whether or not an exposure develops into systemic infection is determined by random events within a life cycle model, which includes background and immune system-mediated hazards for invading free virions, cell invasion leading to a first-generation of infected cells, and cell-to-cell transmission of virions.…”
Section: Modelling Hiv Transmissionmentioning
confidence: 99%
“…This means that the induced T-cell responses, although increased in depth, are just as likely to focus on variable regions and this opens the possibility of selecting novel escape variants not yet included in the LANL database. Recent deep sequencing of natural T-cell escape mutations showed that a very large number of alternative amino acids were generated by mutation during infection and 'tested' in these variable epitope positions [20]. In essence, perhaps the best solution to a T-cell vaccine immunogen is one that consists of conserved regions made of mosaic sequences.…”
Section: Other Vaccine Strategies Dealing With Diversitymentioning
confidence: 99%
“…Owing to the high mutation rate of HIV, the virus can acquire immune escape mutations and frequently evades recognition from CTLs during the first months of the infection [4][5][6]. Analysing longitudinal data on the evolution of immune escape variants can give insights into the selective pressure that is induced by the CTLs.…”
Section: Introductionmentioning
confidence: 99%
“…However, interpreting the data of immune escape is challenging and critically depends on the underlying assumptions of how immune escape variants replace the wild-type virus [8,9]. CTLs definitely impose a very strong selection pressure on HIV during acute infection as several escape variants replace each other very rapidly during the first months of infection [4,5]. During chronic HIV infection, the relation between CTL-mediated killing, immune escape and viral control is less clear [10].…”
Section: Introductionmentioning
confidence: 99%