Phone:+49 (231) 133 - 2225
Fax:+49 (231) 133 - 2299
We are interested how intercellular communication establishes information processing in cells to dynamically maintain their identity in multicellular context. Studying the relation between topology of signaling networks and their dynamics, both theoretically and experimentally, we investigate how cells in ensembles can generate novel dynamical solutions in terms of biochemical behavior, different than that of isolated cells. We also develop theories and mathematical tools to investigate whether signaling networks are inherently regulated to display rich dynamical behavior at a critical point in a parameter space, thereby determining the right balance between exploration and stability.
Stanoev A, Mhamane A, Schuermann KC, Grecco HE, Stallaert W, Baumdick M, Brüggemann Y, Joshi MS, Roda-Navarro P, Fengler S, Stockert R, Roßmannek L, Luig J, Koseska A, Bastiaens PIH (2018).
Interdependence between EGFR and Phosphatases Spatially Established by Vesicular Dynamics Generates a Growth Factor Sensing and Responding Network.
Zou W, Senthilkumar DV, Nagao R, Kiss IZ, Tang Y, Koseska A, Duan J, Kurths J (2015). Restoration of rhythmicity in diffusively coupled dynamical networks. Nat Commun 7709.
Trpevski I, Stanoev A, Koseska A, Kocarev LJ (2014). Discrete-time distributed consensus algorithm on multiplex networks. New Journal of Physics 16, 113063
Koseska A, Volkov E, Kurths J (2013). Transition from amplitude to oscillation death via Turing bifurcation. Phys Rev Lett 111(2):024103.
Koseska A, Volkov E, Kurths J (2013). Oscillation quenching mechanisms: amplitude vs. oscillation death. Physics Reports 531(4), 173.
Koseska A, Ullner E, Volkov E, Kurths J, García-Ojalvo J (2010). Cooperative differentiation through clustering in multicellular populations. J Theor Biol 263(2):189-202.