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Cell Signaling Feedback Loops01:07

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Related Experiment Video

Updated: Apr 27, 2026

Manipulation and Analysis of Cell Cycle-Dependent Processes in Budding Yeast
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Manipulation and Analysis of Cell Cycle-Dependent Processes in Budding Yeast

Published on: September 26, 2025

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Cell cycle dynamics in a response/signalling feedback system with a gap.

Xue Gong1, Richard Buckalew, Todd Young

  • 1a Department of Mathematics , Ohio University , Athens , OH 45701 , USA.

Journal of Biological Dynamics
|June 26, 2014
PubMed
Summary
This summary is machine-generated.

Adding a time delay to cell cycle signaling models enhances the stability of cell clustering. This suggests that signaling delays are advantageous for the emergence of robust clustering in biological systems.

Keywords:
nonlinear feedbackyeast metabolic oscillations

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Area of Science:

  • Mathematical Biology
  • Systems Biology
  • Dynamical Systems Theory

Background:

  • Cell cycle models often explore feedback mechanisms influencing cell population dynamics.
  • Negative feedback typically leads to cell cycle clustering, while positive feedback promotes synchronization.
  • The impact of time delays in signaling pathways on these dynamics is not fully understood.

Purpose of the Study:

  • To analyze the dynamics of a cell cycle model incorporating a time delay between signaling and responsive phases.
  • To investigate the stability of clustered and synchronized cell cycle solutions with this time delay.
  • To determine if time delays enhance or disrupt existing clustering phenomena.

Main Methods:

  • Development and analysis of a dynamical model for n cells in culture.
  • Mathematical analysis of system dynamics with a focus on time-delayed signaling.
  • Investigation of periodic solutions and their stability using concepts like Floquet exponents.
  • Simulation and theoretical analysis of clustered cell arrangements.

Main Results:

  • The introduction of a time delay (gap) between signaling and responsive phases does not fundamentally alter the global dynamics.
  • Clustered cell cycle solutions remain stable across large parameter ranges, confirming clustering as a robust phenomenon.
  • The time delay was found to enhance the stability of existing clustered solutions.
  • Analysis using Floquet exponents explained the stabilizing effect of the delay.

Conclusions:

  • Time delays in cell cycle signaling, modeled as a gap, can stabilize and promote the emergence of cell clustering.
  • Clustering is a robust phenomenon in biological systems, even with signaling delays.
  • The findings support the advantage of signaling delays for robust clustering in relevant biological systems.