<p>After approximately 2 years post-PHI, diversity grows linearly in the latent reservoir (blue solid line) while it starts to saturate in plasma (green solid line). Divergence in the latent reservoir (blue dashed line) grows at approximately the same rate as in the plasma (green dashed line) 6 years post-PHI.</p
<p>The model with programmed expansion and contraction of latently infected cells can generate viral...
One of the most challenging problems in microbiology is to understand how a small fraction of microb...
(A) Variability in the master regulator (X) expands over time. Teal trace corresponds to a simulatio...
<p>We ran 1000 simulations with the intermediate fitness landscape shown in the insert, and categori...
<p><b>GP distribution in a) hN2, b) HEK293, c) NIH3T3 and d) L6.</b> a) Histograms of GP distributio...
<p>The boxplots show the distributions of the mean proportion of lineages through time (averaged fro...
<p>For each parameterization, a 10 year excerpt from a typical simulation is shown. Graphs on the le...
<p>(<b>A</b>) Two representations of cells in the model during static equilibrium: (left) space-fill...
The molecular makeup of the offspring of a dividing cell gradually becomes phenotypically decorrelat...
<p>(A) The proportion of sequences with latent fragments declines rapidly as the number of latent fr...
a. Average cellular growth rates (red) and toxin concentrations (blue) 150 minutes after onset of st...
a. Growing cell numbers over time in individual simulations (blue-green lines) and averaged between ...
<p>The degree of KIR diversity (expressed as the Simspon's Reciprocal Index) increased only in popul...
The molecular makeup of the offspring of a dividing cell gradually becomes phenotypically decorrelat...
<p>The black trace, representing the unsustainable simulation, grows quickly though never expands it...
<p>The model with programmed expansion and contraction of latently infected cells can generate viral...
One of the most challenging problems in microbiology is to understand how a small fraction of microb...
(A) Variability in the master regulator (X) expands over time. Teal trace corresponds to a simulatio...
<p>We ran 1000 simulations with the intermediate fitness landscape shown in the insert, and categori...
<p><b>GP distribution in a) hN2, b) HEK293, c) NIH3T3 and d) L6.</b> a) Histograms of GP distributio...
<p>The boxplots show the distributions of the mean proportion of lineages through time (averaged fro...
<p>For each parameterization, a 10 year excerpt from a typical simulation is shown. Graphs on the le...
<p>(<b>A</b>) Two representations of cells in the model during static equilibrium: (left) space-fill...
The molecular makeup of the offspring of a dividing cell gradually becomes phenotypically decorrelat...
<p>(A) The proportion of sequences with latent fragments declines rapidly as the number of latent fr...
a. Average cellular growth rates (red) and toxin concentrations (blue) 150 minutes after onset of st...
a. Growing cell numbers over time in individual simulations (blue-green lines) and averaged between ...
<p>The degree of KIR diversity (expressed as the Simspon's Reciprocal Index) increased only in popul...
The molecular makeup of the offspring of a dividing cell gradually becomes phenotypically decorrelat...
<p>The black trace, representing the unsustainable simulation, grows quickly though never expands it...
<p>The model with programmed expansion and contraction of latently infected cells can generate viral...
One of the most challenging problems in microbiology is to understand how a small fraction of microb...
(A) Variability in the master regulator (X) expands over time. Teal trace corresponds to a simulatio...