Fig. 3
From: An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling
IFN-α and IFN-λ1 activate the same signaling effectors but induce different signaling dynamics. a Model representation of the type I and type III IFNs signaling used to construct the input–output probability distribution, P(Y|X). IFN-α exerts its action through cognate two subunits receptor complex IFNAR1/IFNAR2, whereas IFN-λ1 signals through two subunit receptor complex IFNLR1/IL10Rα. Both of receptor complexes are pre-associated with JAK1 and TYK2 tyrosine kinases50, 51. Simplistically, receptor ligand binding results in tyrosine phosphorylation of STAT1 and STAT2 proteins. These, denoted as p-STAT1 and p-STAT2, respectively, form p-STAT1/1 homodimers and p-STAT1/2 heterodimers and translocate to the nucleus. Dephosphorylation in the nucleus results in nuclear export of STATs and makes them available to subsequent phosphorylation/dephosphorylation cycles. b Samples of the model output Y (copy numbers of nuclear p-STAT1/1 and p-STAT1/2 dimers) in response to 30 min stimulation with IFN-α (green; 5 ng/ml) or IFN-λ (red; 250 ng/ml) for three levels of δ and cv = 0. In each panel 30 trajectories are plotted. Parameters used to simulate the mode are given in Supplementary Tables 1 and 2
