Related Experiment Video

Updated: Jan 23, 2026

Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light
07:56

Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light

Published on: September 20, 2017

12.1K

Oscillatory Dynamics of p53 Genetic Network Induced by Feedback Loops and Time Delays

Conghua Wang, Haihong Liu, Jin Zhou

    IEEE Transactions on Nanobioscience
    |June 22, 2019
    PubMed

    Insights

    DNA damage triggers oscillating p53 protein levels. Ataxia telangiectasia mutated (ATM) initiates these pulses, with feedback loops and time delays being crucial for generating the p53 oscillation observed in DNA repair.

    Area of Science:

    • Cellular biology
    • Systems biology
    • Biophysics

    Background:

    • DNA damage response involves the p53 genetic network.
    • p53 protein dynamics are influenced by the p53-Mdm2 feedback circuit.
    • The role of upstream kinases in p53 oscillation remains less explored.

    Purpose of the Study:

    • To investigate the contribution of upstream kinases to p53 oscillation following DNA damage.
    • To develop and analyze a mathematical model of the p53 network in response to gamma irradiation.
    • To elucidate the key components and mechanisms driving p53 oscillatory expression.

    Main Methods:

    • Development of an integrated mathematical model of the p53 network.
    • Inclusion of five basic components, two time delays, and two negative feedback loops.
    • Theoretical analysis of delay-driven Hopf bifurcation and critical time delay values.

    Main Results:

    • Recurrent p53 pulses are initiated by ataxia telangiectasia mutated (ATM).
    • The ATM-p53 feedback loop via Wip1 is dominant in generating p53 oscillation.
    • p53 oscillation depends on Mdm2 and Wip1 negative feedback strengths and time delays in transcription/translation.

    Conclusions:

    • ATM acts as an external trigger for p53 oscillations after DNA damage.
    • The interplay between ATM, p53, Wip1, and Mdm2, along with critical time delays, governs p53 network dynamics.
    • The model's predictions align with experimental observations of p53 oscillation.

    More Related Videos

    Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks11:18

    Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

    Published on: March 2, 2015

    10.8K
    Movement Retraining using Real-time Feedback of Performance08:16

    Movement Retraining using Real-time Feedback of Performance

    Published on: January 17, 2013

    13.8K

    Related Concept Videos

    Feedback Loops01:01

    Feedback Loops

    In most cases, excessive hormone production is prevented by negative feedback—a loop that starts with a stimulus inducing the release of a particular substance, like a hormone, to maintain a certain level before triggering a signal that results in a decrease in further release of the hormone.
    64.2K
    Cell Signaling Feedback Loops01:07

    Cell Signaling Feedback Loops

    Positive and negative feedback loops are crucial for regulating biological signaling systems. These feedback loops are processes that connect output signals to their inputs.
    Negative feedback loops
    Most signaling systems have negative feedback loops that can perform different functions such as output limiter, and adaptation.
    Output limiter
    Upon receiving an input signal, the cellular response rapidly increases until a threshold is reached. Beyond this threshold, a negative feedback loop...
    7.3K
    Positive and Negative Feedback Loops01:18

    Positive and Negative Feedback Loops

    Animal organs and organ systems constantly adjust to internal and external changes through a process called homeostasis ("steady state"). Examples of these changes include regulation of the level of glucose or calcium in the blood or internal responses to external temperatures. Homeostasis requires  maintaining an internal dynamic equilibrium:
    25.0K
    Feedback Inhibition00:46

    Feedback Inhibition

    Biochemical reactions are occurring constantly in cells, converting starting substances to different products, usually with the help of enzymes that speed the reactions. Without enzymes, it would take far too long for most reactions to occur to be useful to the cell!
    56.9K
    Protein Networks02:26

    Protein Networks

    An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
    These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
    4.5K
    Effects of feedback01:24

    Effects of feedback

    Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
    Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
    1.0K