Skip to main content
Fig. 4 | BMC Immunology

Fig. 4

From: Comparative analysis of anti-viral transcriptomics reveals novel effects of influenza immune antagonism

Fig. 4

Model-based analysis of genes at different multiplicities of infection (MOI). a An ODE model (equation 1) was used to predict the dynamics of genes expressed by infected cells (left plot) at different MOIs (individual lines). The same model was then fit to experimentally measured IFNA expression profiles (right plot) at different MOIs. Best fit parameter values were (k i  = 1.6, n = 1.14, d = 0.62 and H = 0.99). b An ODE model (equation 2) was used to predict the dynamics of genes expressed by non-infected cells (left plot) at different MOIs. The same model was then fit to experimentally measured MX1 (middle plot) and IP10 (right plot) expression profiles. Best fit parameter values for MX1 were k i  = 1.4, n = 4.1, d = 0.73 and H = 0.07, and for IP10 were k i  = 1.18, n = 4.4, d = 0.56 and H = 0.08. In all plots, lines indicate model results and triangles show experimentally measured values for MOI = 0.5 (empty triangles and continuous lines), MOI = 1 (grey triangles and dashed lines) and MOI = 2 (black triangles and dash-dot lines)

Back to article page