TY - JOUR T1 - A Canonical 3-D P53 Network Model that Determines Cell Fate by Counting Pulses TT - A Canonical 3-D P53 Network Model that Determines Cell Fate by Counting Pulses AU - Demirkıran, Gökhan AU - Kalaycı Demir, Güleser AU - Güzeliş, Cüneyt PY - 2018 DA - August JF - Electrica PB - İstanbul Üniversitesi-Cerrahpaşa WT - DergiPark SN - 2619-9831 SP - 284 EP - 291 VL - 18 IS - 2 LA - en AB - DOI: 10.26650/electrica.2018.02664From a system theory perspective, p53network dynamics is interesting since it can exhibit three dynamical modes ofp53, namely low-level equilibrium, oscillation, and high-level equilibrium.Each of these modes are associated with different cell fate outcomes: cellsurvival, cell cycle arrest, and apoptosis. The literature reveals that a highlevel (apoptosis) is seen only after ending the oscillation phase, so calledtwo-phase dynamics, which provides the decision of apoptosis depending on theoscillation duration. This paper proposes that a negative feedback can keeptime by counting the pulses of oscillation to take the decision of apoptosis orcell survival. P53DINP1, which is the mediator of this feedback, is added as avariable to a 2-D oscillator model of the p53 network. The resulting canonical3-D model successfully replicates the two-phase dynamics. That is, it possessestemporary oscillatory behavior, in which first oscillations (first phase) andthen high level state (second phase) are observed. By introducing a newvariable to the core oscillator in the p53 network, this study demonstratesthat p53 network can be considered a modular structure, which consists of anoscillator and other variables that control this oscillator to contribute tocell fate determination. KW - Oscillators KW - p53 network KW - two-phase dynamics KW - gene regulatory networks KW - cell fate N2 - DOI:10.26650/electrica.2018.02664From 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. 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