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Related Experiment Videos

Modelling the fission yeast cell cycle.

Akos Sveiczer1, John J Tyson, Bela Novak

  • 1Department of Agricultural Chemical Technology at Budapest University of Technology and Economics, Hungary. asveiczer@mail.bme.hu

Briefings in Functional Genomics & Proteomics
|May 28, 2004
PubMed
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Computational modeling of cell division reveals that the mass/DNA ratio, not mass/nucleus, drives cell cycle progression in fission yeast lacking Cdc13. This approach aids understanding of endoreplication.

Area of Science:

  • Cellular and Molecular Biology
  • Computational Biology
  • Yeast Genetics

Background:

  • Cellular processes are regulated by complex molecular networks that can be modeled mathematically.
  • Fission yeast serves as a model organism for studying eukaryotic cell cycle control due to its genetic tractability and well-understood biology.
  • Computational modeling offers a powerful approach to dissecting regulatory mechanisms in biological systems.

Purpose of the Study:

  • To apply computational modeling to understand cell cycle regulation in fission yeast.
  • To investigate the phenomenon of endoreplication in fission yeast cells lacking the primary mitotic cyclin, Cdc13.
  • To identify the key physiological variable governing cell cycle progression.

Main Methods:

  • Development of a mathematical model representing cell cycle regulatory networks using differential equations.

Related Experiment Videos

  • Simulation of the mathematical model using wild-type fission yeast and various cell cycle mutant data.
  • Analysis of simulated data to understand the impact of Cdc13 absence on DNA synthesis and cell cycle progression.

    • Main Results:

    • The mathematical model successfully simulated wild-type and mutant fission yeast cell cycles.
    • The model elucidated the mechanism of multiple DNA synthesis rounds (endoreplication) in Cdc13-deficient cells.
    • The study identified the mass/DNA ratio as the critical determinant for cell cycle progression.

    Conclusions:

    • Computational modeling is a valuable tool for understanding complex cellular processes like the cell division cycle.
    • The mass/DNA ratio is proposed as the primary physiological variable controlling cell cycle progression in fission yeast.
    • This modeling approach provides insights into aberrant cell cycles, such as endoreplication, in specific mutant contexts.