2014
DOI: 10.1128/jvi.02038-13
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Intracellular Dynamics of HIV Infection

Abstract: dEarly studies of HIV infection dynamics suggested that virus-producing HIV-infected cells had an average half-life of approximately 1 day. However, whether this average behavior is reflective of the dynamics of individual infected cells is unclear. Here, we use HIV-enhanced green fluorescent protein (EGFP) constructs and flow cytometry sorting to explore the dynamics of cell infection, viral protein production, and cell death in vitro. By following the numbers of productively infected cells expressing EGFP ov… Show more

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Cited by 19 publications
(23 citation statements)
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“…Detailed studies of viral reactivation kinetics are essential for understanding both the mechanisms of viral suppression by antiviral drugs and the mechanisms leading to HIV-1 reactivation in latently infected cells (36). The major strength of the fluorescence in situ hybridization assay (PrimeFlow RNA assay) used here is the ability to simultaneously and specifically quantify intracellular viral mRNA and protein expression levels as well as the expression of cell surface molecules by flow cytometry on the single-cell level.…”
Section: Resultsmentioning
confidence: 99%
“…Detailed studies of viral reactivation kinetics are essential for understanding both the mechanisms of viral suppression by antiviral drugs and the mechanisms leading to HIV-1 reactivation in latently infected cells (36). The major strength of the fluorescence in situ hybridization assay (PrimeFlow RNA assay) used here is the ability to simultaneously and specifically quantify intracellular viral mRNA and protein expression levels as well as the expression of cell surface molecules by flow cytometry on the single-cell level.…”
Section: Resultsmentioning
confidence: 99%
“…Another possibility is that the cells with reactivated HIV are dividing, in addition to dying at a natural rate. We did not consider this possibility, because we assumed that virus transcription would lead to cell cycle arrest (29,30).…”
Section: Implications Of the Model For Interpreting Clinical Trial Datamentioning
confidence: 99%
“…Note that the measurement units of virus (RNA copies or TCID 50 ) used in our analysis changes both the units and physical meaning of the virus production ‫)(‬ and cell infection (ߚ) rates, changes the meaning and value of the virus loss (ܿ), and the value of the infectious cell lifespan estimated from the experimental data (ߜሻ. (Holder and Beauchemin, 2011;Petravic et al, 2014;Pinilla et al, 2012 . In the case of a non-lytic virus (i.e., ߜ ൌ 0), the burst size becomes infinity, which implies these two terms become 0 and Eq.…”
Section: Derivation Of a Conservation Law For Viral Infectionsmentioning
confidence: 99%