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Positive and negative feedback loops are crucial for regulating biological signaling systems. These feedback loops are processes that connect output signals to their inputs.
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Related Experiment Video

Updated: May 28, 2026

Manipulation and Analysis of Cell Cycle-Dependent Processes in Budding Yeast
08:13

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

Published on: September 26, 2025

Clustering in cell cycle dynamics with general response/signaling feedback.

Todd R Young1, Bastien Fernandez, Richard Buckalew

  • 1Department of Mathematics, Ohio University, Athens, OH, USA. youngt@ohio.edu

Journal of Theoretical Biology
|October 18, 2011
PubMed
Summary
This summary is machine-generated.

Mathematical models of yeast cell populations reveal that cell-cycle dependent feedback robustly causes cell-cycle clustering. Negative feedback mechanisms are most consistent with experimental observations in yeast.

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Area of Science:

  • Mathematical biology
  • Cellular dynamics
  • Systems biology

Background:

  • Autonomous oscillations are observed in yeast populations.
  • Cell-cycle dependent feedback is a key mechanism influencing cellular behavior.
  • Understanding population-level dynamics requires analyzing complex feedback systems.

Purpose of the Study:

  • To analyze ordinary differential equations models of large yeast cell populations with cell-cycle dependent feedback.
  • To investigate the dynamics and emergent behavior, specifically temporal clustering and stability of clustered solutions.
  • To explore the differences between positive and negative feedback systems in cellular populations.

Main Methods:

  • Analysis of ordinary differential equations models.
  • Mathematical modeling of responsive/signaling (RS) feedback without specifying a functional form.
  • Study of temporal clustering and stability of solutions.

Main Results:

  • Established the existence of periodic clustered and uniform solutions.
  • Demonstrated that cell-cycle dependent feedback robustly leads to cell-cycle clustering.
  • Highlighted fundamental dynamic differences between negative and positive feedback systems.

Conclusions:

  • Positive feedback systems rely on the stability of individual clusters.
  • Negative feedback systems require cluster interaction for coherence.
  • Mathematical analysis indicates negative feedback is most consistent with yeast experimental observations.