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Figure 4 | Theoretical Biology and Medical Modelling

Figure 4

From: The Basic Immune Simulator: An agent-based model to study the interactions between innate and adaptive immunity

Figure 4

The effect of adding more agents to the simulated immune response at activation. Figures 4a, 4b and 4c show the percent of simulation runs that ended with the immune win, loss and hyper-response outcomes, respectively, when more of the indicated agent type was recruited, in combination with initial conditions of 20, 50 or 80 DCs. The control in each case is the same as shown in Figures 2 and 3. More DCs added with 20 DCs, n = 49; with 50 DCs, n = 52; with 80 DCs, n = 83; more CTLs added with 20 DCs, n = 61; with 50 DCs, n = 107; with 80 DCs, n = 50; more MΦs added with 20 DCs, n = 62; with 50 DCs, n = 80; with 80 DCs, n = 72; more NKs added with 20 DCs, n = 108; with 50 DCs, n = 80; with 80 DCs, n = 96; more Gran added with 20 DCs, n = 89; with 50 DCs, n = 50; with 80 DCs, n = 50. The asterisks indicate significant differences from the control conditions using the Chi-squared test. The p-values are as follows: **** p <= 0.0001, *** p <= 0.0015, ** p <= 0.005, * p <= 0.01.

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