Seminars of the Focus Area Complex Systems

Prof. Dr. C. Beta, Prof. Dr. K. Dethloff, Prof. Dr. R. Engbert, Prof. Dr. M. Holschneider, Prof. Dr. W. Huisinga, Prof. Dr. Ralf Metzler, Prof. Dr. A. Pikovsky, Prof. Dr. S. Reich, Prof. Dr. M. Rosenblum, Prof. Dr. G. Rüdiger, Prof. Dr. T. Scheffer, Prof. Dr. F. Scherbaum, Prof. Dr. J. Selbig, Prof. Dr. F. Spahn

Seminar

Speaker: Aneta Koseska, Interdisciplinary center for dynamics of complex systems, University of Potsdam

Title: Dynamics of biological networks: data analysis, modeling and bifurcations

Time: Mon, Mar 19, 2012, 12:00pm

Place: bldg 28, room 0.104

Abstract:
Genetic and protein networks, through their underlying dynamical behavior, describe various structural and functional cellular processes. Therefore, the characterization of the dynamics of multicellular systems should lead to improved knowledge about cellular behavior and vital biological mechanisms. Hence, this work focuses on investigations of the rhythm generation mechanisms which emerge from the interactions among the coupled units (genes and metabolites), and identifies the necessary intercellular communication schemes which define multistability and multirhythmicity as inherent properties of biological networks. Moreover, the emergence of multiple stable attractors and their dependence on the coupling strength and organization, as well as various topological aspects are expressed in terms of bifurcation analysis. The results are further used to address diverse biological questions, such as cooperative differentiation, timing cellular decision mechanisms etc. In relation to cellular differentiation, the background Turing-type of mechanism responsible for emergence of heterogeneity in homogeneous mediums is identified as a specific type of oscillation death phenomena. A novel, general effect shows the dominance of this regime over the coexisting limit cycles in various chemical and biological systems. Additionally, the dynamical behavior of gene regulatory networks in the unavoidable presence of noise is quantified in terms of stochastic bifurcations. On the other hand, the inference of regulatory interactions from experimental data, yielding reverse engineered gene regulatory networks is also considered, and a novel, permutation-based measure for detection of coupling and its directionality from short time series is proposed.

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Past NLD Seminars (1994-2007) & (2008 ...)

Students' seminar: Theoretical Physics, PIK, Modeling & TSA Berlin-Potsdam-Colloquia: PhysGesellschaft Berlin, TU Berlin, Pro Physik, AIP, AEI, MPI-KGF, GFZ, HMI, PIK, AWI, Max Planck Institute for the History of Science, Mathematik, DPG Disputationen, & Vorschau UP

Udo Schwarz, Zentrum für Dynamik komplexer Systeme,
Universität Potsdam, Campus Golm Karl-Liebknecht-Str. 24, 14476 Potsdam, building 28, room 2.107
Phone: (+49-331) 977-1658, Fax : (+49-331) 977-1045

Email: Udo.Schwarz AT uni-potsdam.de

DFG SFB 1294

DFG Sonderforschungsbereich 1294 Data assimilation

DFG SPP 1488

DFG Schwerpunktprogramm 1488 Planetmag


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