<p>Output from system (1)–(6) computed using the Gillespie SSA. Histograms show the levels of (A) DegU and (B) exoprotease collated from 1000 simulations at 10 time points. Each simulation can be considered to be equivalent to the temporal evolution of transcription in a single cell. Note that distributions for both DegU and exoprotease display no significant further change after approximately hrs. All parameter values from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0038574#pone-0038574-t001" target="_blank">Table 1</a> except . Initial protein values set to zero.</p
Publisher's PDFInside individual cells, expression of genes is inherently stochastic and manifests a...
<p>Deterministic (A, C) and the corresponding stochastic (B, D) time evolution of RNA, protein and m...
Deterministic and stochastic descriptions of gene expression dynamics Received: date / Accepted: dat...
<p>Output from system (1)–(6) computed using the Gillespie SSA. For comparison, the DegU levels pred...
<p>Output from system (1)–(6) subject to discrete steps in signal level/perception computed using th...
<p>Output from system (1)–(6) subject to normally distributed signal level/perception computed using...
<p>Temporal evolution of the DegU - exoprotease system as modelled by equations (1)–(6). The levels ...
AbstractA general dynamic description of protein synthesis was employed to quantify different source...
<p>Intrinsic noise measured in two-color assay as a function of (extent of parameter fluctuations) ...
We derive exact solutions of simplified models for the temporal evolution of the protein concentrati...
Protein levels differ considerably between otherwise identical cells, and these differences signific...
<p>Analytic and modified Gillespie simulation results for time evolution of mRNA levels with and wit...
AbstractProtein levels differ considerably between otherwise identical cells, and these differences ...
<p>Upper panel: R protein degradation rate (and other parameters as described in the text) with the...
AbstractTo study noise in the number of protein molecules produced in gene expression, we use a dela...
Publisher's PDFInside individual cells, expression of genes is inherently stochastic and manifests a...
<p>Deterministic (A, C) and the corresponding stochastic (B, D) time evolution of RNA, protein and m...
Deterministic and stochastic descriptions of gene expression dynamics Received: date / Accepted: dat...
<p>Output from system (1)–(6) computed using the Gillespie SSA. For comparison, the DegU levels pred...
<p>Output from system (1)–(6) subject to discrete steps in signal level/perception computed using th...
<p>Output from system (1)–(6) subject to normally distributed signal level/perception computed using...
<p>Temporal evolution of the DegU - exoprotease system as modelled by equations (1)–(6). The levels ...
AbstractA general dynamic description of protein synthesis was employed to quantify different source...
<p>Intrinsic noise measured in two-color assay as a function of (extent of parameter fluctuations) ...
We derive exact solutions of simplified models for the temporal evolution of the protein concentrati...
Protein levels differ considerably between otherwise identical cells, and these differences signific...
<p>Analytic and modified Gillespie simulation results for time evolution of mRNA levels with and wit...
AbstractProtein levels differ considerably between otherwise identical cells, and these differences ...
<p>Upper panel: R protein degradation rate (and other parameters as described in the text) with the...
AbstractTo study noise in the number of protein molecules produced in gene expression, we use a dela...
Publisher's PDFInside individual cells, expression of genes is inherently stochastic and manifests a...
<p>Deterministic (A, C) and the corresponding stochastic (B, D) time evolution of RNA, protein and m...
Deterministic and stochastic descriptions of gene expression dynamics Received: date / Accepted: dat...