title: Coupling between feedback loops in autoregulatory networks affects bistability range, open-loop gain and switching times.
abstract: Biochemical regulatory networks governing diverse cellular processes such as stress-response, differentiation and cell cycle often contain coupled feedback loops. We aim at understanding how features of feedback architecture, such as the number of loops, the sign of the loops and the type of their coupling, affect network dynamical performance. Specifically, we investigate how bistability range, maximum open-loop gain and switching times of a network with transcriptional positive feedback are affected by additive or multiplicative coupling with another positive- or negative-feedback loop. We show that a network's bistability range is positively correlated with its maximum open-loop gain and that both quantities depend on the sign of the feedback loops and the type of feedback coupling. Moreover, we find that the addition of positive feedback could decrease the bistability range if we control the basal level in the signal-response curves of the two systems. Furthermore, the addition of negative feedback has the capacity to increase the bistability range if its dissociation constant is much lower than that of the positive feedback. We also find that the addition of a positive feedback to a bistable network increases the robustness of its bistability range, whereas the addition of a negative feedback decreases it. Finally, we show that the switching time for a transition from a high to a low steady state increases with the effective fold change in gene regulation. In summary, we show that the effect of coupled feedback loops on the bistability range and switching times depends on the underlying mechanistic details.
authors.affiliation: Department of Bioengineering, Rice University, MS-142, 6100 Main Street, Houston, TX 77005, USA.
authors.forename: Abhinav
authors.initials: A
authors.lastname: Tiwari
authors.forename: Oleg A
authors.initials: OA
authors.lastname: Igoshin
mesh_terms: D025461:Feedback, Physiological; D005786:Gene Expression Regulation; D053263:Gene Regulatory Networks; D008432:Mathematical Computing; D008954:Models, Biological; D011401:Promoter Regions, Genetic; D014158:Transcription, Genetic