A Canonical 3-D P53 Network Model that Determines Cell Fate by Counting Pulses

Year 2018, Volume: 18 Issue: 2, 284 - 291, 03.08.2018

Gökhan Demirkıran Güleser Kalaycı Demir Cüneyt Güzeliş

Abstract

DOI: 10.26650/electrica.2018.02664

From a system theory perspective, p53
network dynamics is interesting since it can exhibit three dynamical modes of
p53, namely low-level equilibrium, oscillation, and high-level equilibrium.
Each of these modes are associated with different cell fate outcomes: cell
survival, cell cycle arrest, and apoptosis. The literature reveals that a high
level (apoptosis) is seen only after ending the oscillation phase, so called
two-phase dynamics, which provides the decision of apoptosis depending on the
oscillation duration. This paper proposes that a negative feedback can keep
time by counting the pulses of oscillation to take the decision of apoptosis or
cell survival. P53DINP1, which is the mediator of this feedback, is added as a
variable to a 2-D oscillator model of the p53 network. The resulting canonical
3-D model successfully replicates the two-phase dynamics. That is, it possesses
temporary oscillatory behavior, in which first oscillations (first phase) and
then high level state (second phase) are observed. By introducing a new
variable to the core oscillator in the p53 network, this study demonstrates
that p53 network can be considered a modular structure, which consists of an
oscillator and other variables that control this oscillator to contribute to
cell fate determination.

Keywords

Oscillators, p53 network, two-phase dynamics, gene regulatory networks, cell fate

A Canonical 3-D P53 Network Model that Determines Cell Fate by Counting Pulses

Abstract

DOI: 10.26650/electrica.2018.02664

From a system theory perspective, p53 network dynamics is interesting since it can exhibit three dynamical modes of p53, namely low-level equilibrium, oscillation, and high-level equilibrium. Each of these modes are associated with different cell fate outcomes: cell survival, cell cycle arrest, and apoptosis. The literature reveals that a high level (apoptosis) is seen only after ending the oscillation phase, so called two-phase dynamics, which provides the decision of apoptosis depending on the oscillation duration. This paper proposes that a negative feedback can keep time by counting the pulses of oscillation to take the decision of apoptosis or cell survival. P53DINP1, which is the mediator of this feedback, is added as a variable to a 2-D oscillator model of the p53 network. The resulting canonical 3-D model successfully replicates the two-phase dynamics. That is, it possesses temporary oscillatory behavior, in which first oscillations (first phase) and then high level state (second phase) are observed. By introducing a new variable to the core oscillator in the p53 network, this study demonstrates that p53 network can be considered a modular structure, which consists of an oscillator and other variables that control this oscillator to contribute to cell fate determination.

Keywords

Oscillators, p53 network, two-phase dynamics, gene regulatory networks, cell fate, P53DINP1

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