title: Synchronization in coupled cells with activator-inhibitor pathways.
abstract: The functional dynamics exhibited by cell collectives are fascinating examples of robust, synchronized, collective behavior in spatially extended biological systems. To investigate the roles of local cellular dynamics and interaction strength in the spatiotemporal dynamics of cell collectives of different sizes, we study a model system consisting of a ring of coupled cells incorporating a three-step biochemical pathway of regulated activator-inhibitor reactions. The isolated individual cells display very complex dynamics as a result of the nonlinear interactions common in cellular processes. On coupling the cells to nearest neighbors, through diffusion of the pathway end product, the ring of cells yields a host of interesting and unusual dynamical features such as, suppression of chaos, phase synchronization, traveling waves, and intermittency, for varying interaction strengths and system sizes. But robust complete synchronization can be induced in these coupled cells with a small degree of random coupling among them even where regular coupling yielded only intermittent synchronization. Our studies indicate that robustness in synchronized functional dynamics in tissues and cell populations in nature can be ensured by a few transient random connections among the cells. Such connections are being discovered only recently in real cellular systems.
authors.affiliation: Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500007, India.
authors.forename: S
authors.initials: S
authors.lastname: Rajesh
authors.forename: Sudeshna
authors.initials: S
authors.lastname: Sinha
authors.forename: Somdata
authors.initials: S
authors.lastname: Sinha
mesh_terms: D000465:Algorithms; D000818:Animals; D001671:Biochemistry / Q000379:methods*; D001703:Biophysics / Q000379:methods*; D002450:Cell Communication; D002478:Cells, Cultured; D003198:Computer Simulation; D025461:Feedback, Physiological; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D008962:Models, Theoretical; D017711:Nonlinear Dynamics; D013997:Time Factors