Figure 7
From: Modeling heterogeneous responsiveness of intrinsic apoptosis pathway
Effect of extrinsic noise in the amount of Cytochrome C protein on the stochasticity of the time delay of CEA response. (A) Stochastic model of intrinsic apoptosis pathway under the extrinsic noise of random amount of Cytochrome C (CC) is implemented by simulating the deterministic model, while assuming the mean concentration of CC is log-normally distributed with a coefficient of variation CV = 0.25 across cells. The coefficient of variation (CV) of the time delay of CEA activation (denoted as T d ) is plotted versus the concentration of CC. (B) Stochastic model under both intrinsic noise and the extrinsic noise of random amount of Cytochrome C (CC) is simulated using Gillespie algorithm, while assuming the mean number of CC is log-normally distributed with a coefficient of variation CV = 0.25 across cells. Eight copy- number conditions of c9p = { 5×103,104} combined with c3p = { 10,102,103,104} are implemented in the simulations. The coefficient of variation (CV) of T d is plotted versus the number of CC molecules in the range of [0, 10000]. In the inset plot, the coefficient of variation (CV) of T d is zoomed into the range of [0, 600] number of CC molecules. Cross: simulation data; solid line: fitted curve. The color scheme of specific copy-number condition of [c9p, c3p] is as follows: magenta for [ 5×103,10]; cyan for [ 5×103,102]; orange for [ 5×103,103]; red for [ 5×103,104]; blue for [ 104,10]; green for [ 104,102]; gray for [ 104,103]; black for [ 104,104]. All the calculation is based on 150 cells at each data point.