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Studying Proteolysis of Cyclin B at the Single Cell Level in Whole Cell Populations
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Computational insights in cell physiology.

Geneviève Dupont1, Didier Gonze1

  • 1Unité de Chronobiologie Théorique, Faculté des Sciences CP 231, Université Libre de Bruxelles (ULB), Bruxelles, Belgium.

Frontiers in Systems Biology
|August 14, 2025
PubMed
Summary
This summary is machine-generated.

Computational modeling offers a systems approach to understand cellular dynamics. It helps answer complex questions about cell signaling, regulation, and rhythmic processes in both health and disease.

Keywords:
calcium signalingcell cyclecell differentiationcircadian rhythmscomputational modelingentrainmentsynchronizationsystems biology

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Area of Science:

  • Systems biology
  • Computational biology
  • Cellular dynamics

Background:

  • Physiological processes involve complex transcriptional and post-translational regulations.
  • Inter-cellular signaling and environmental responses are crucial for cellular function.
  • Understanding healthy and diseased states requires a systems-level perspective.

Purpose of the Study:

  • To illustrate the utility of computational modeling in systems biology.
  • To demonstrate how modeling addresses complex questions in cellular systems.
  • To showcase applications in areas like cell differentiation and signaling.

Main Methods:

  • Utilizing computational models to formalize and simulate complex biological networks.
  • Applying a systems approach to analyze cellular dynamics.
  • Illustrating through selected examples.

Main Results:

  • Modeling provides insights into rhythmic phenomena in cellular systems.
  • Computational approaches aid in understanding signaling pathways and decision-making.
  • Examples demonstrate applications in cell differentiation, metabolic regulation, chronopharmacology, and calcium dynamics.

Conclusions:

  • Computational modeling is a powerful tool for deciphering complex physiological processes.
  • A systems approach using modeling is essential for understanding cellular functions in health and disease.
  • Modeling facilitates answering non-trivial questions across diverse biological areas.