The International Max Planck Research School for Chemical and Molecular Biology (IMPRS-CMB) is a collaboration between the Max Planck Institute of Molecular Physiology and three universities, the Technical University Dortmund (TU Dortmund), the Ruhr University Bochum (RUB) and the University of Duisburg-Essen (DUE).

All four institutes are located in the Ruhr Metropolitan Area of Germany, an extremely vibrant and culturally interconnected region. The same spirit is reflected in the science of our program: research groups, with different and often complementary approaches, combine their efforts to study at the molecular level basic cell physiology.

Below you can find all the research groups that are part of IMPRS-CMB, in alphabetical order. You can also search groups by name, topic or technique.

Read about OUR SCIENCE by visiting the webpages of our Faculty Members.

Koseska AnetaCELLULAR COGNITION/DYNAMIC ORGANIZATION PRINCIPLES OF LIVING SYSTEMS

Dr. habil. Aneta Koseska

Since 2016: Group leader, Department of Systemic Cell Biology, Max Planck Institute of Molecular Physiology, Dortmund
2013-2015: Project leader, Department of Systemic Cell Biology, Max Planck Institute of Molecular Physiology, Dortmund
2012: Guest Professor, Institute of Physics, Humboldt University, Berlin
2007-2011: Researcher, Center for Dynamics of Complex Systems, Potsdam
2004-2007: PhD, Institute of Nonlinear Dynamics, University of Potsdam, Potsdam

Research Interest
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.

Techniques
Mathematical modeling, bifurcation analysis, nonlinear time series analysis, microscopy techniques

Selected Reading
Zou W, Senthilkumar DV, Nagao R, Kiss IZ, Tang Y, Koseska A, Duan J, Kurths J. Restoration of rhythmicity in diffusively coupled dynamical networks. Nat Commun 2015, 7709.

Koseska A, Volkov E, Kurths J. Transition from amplitude to oscillation death via Turing bifurcation. Phys Rev Lett 2013, 111(2):024103.

Koseska A, Volkov E, Kurths J. Oscillation quenching mechanisms: amplitude vs. oscillation death. Physics Reports 2013, 531(4), 173.

Koseska A, Ullner E, Volkov E, Kurths J, García-Ojalvo J. Cooperative differentiation through clustering in multicellular populations. J Theor Biol 2010, 263(2):189-202.


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