TY  - JOUR
A1  - Zakharova, Anna
A1  - Kurths, Jürgen
A1  - Vadivasova, Tatyana
A1  - Koseska, Aneta
T1  - Analysing dynamical behavior of cellular networks via stochastic bifurcations
JF  - PLoS one
N2  - The dynamical structure of genetic networks determines the occurrence of various biological mechanisms, such as cellular differentiation. However, the question of how cellular diversity evolves in relation to the inherent stochasticity and intercellular communication remains still to be understood. Here, we define a concept of stochastic bifurcations suitable to investigate the dynamical structure of genetic networks, and show that under stochastic influence, the expression of given proteins of interest is defined via the probability distribution of the phase variable, representing one of the genes constituting the system. Moreover, we show that under changing stochastic conditions, the probabilities of expressing certain concentration values are different, leading to different functionality of the cells, and thus to differentiation of the cells in the various types.
Y1  - 2011
U6  - https://doi.org/10.1371/journal.pone.0019696
SN  - 1932-6203
VL  - 6
IS  - 5
PB  - PLoS
CY  - San Fransisco
ER  - 
TY  - JOUR
A1  - Koseska, Aneta
A1  - Volkov, Evgenii
A1  - Kurths, Jürgen
T1  - Synthetic multicellular oscillatory systems controlling protein dynamics with genetic circuits
JF  - Physica scripta : an international journal for experimental and theoretical physics
N2  - Synthetic biology is a relatively new research discipline that combines standard biology approaches with the constructive nature of engineering. Thus, recent efforts in the field of synthetic biology have given a perspective to consider cells as 'programmable matter'. Here, we address the possibility of using synthetic circuits to control protein dynamics. In particular, we show how intercellular communication and stochasticity can be used to manipulate the dynamical behavior of a population of coupled synthetic units and, in this manner, finely tune the expression of specific proteins of interest, e.g. in large bioreactors.
Y1  - 2011
U6  - https://doi.org/10.1088/0031-8949/84/04/045007
SN  - 0031-8949
VL  - 84
IS  - 4
PB  - IOP Publ. Ltd.
CY  - Bristol
ER  - 
TY  - THES
A1  - Koseska, Aneta
T1  - Dynamics of biological networks : data analysis, modeling and bifurcations
Y1  - 2011
CY  - Potsdam
ER  -