Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Modeling the cell division cycle: cdc2 and cyclin interactions.

J J Tyson1

  • 1Department of Biology, Virginia Polytechnic Institute and State University, Blacksburg 24061.

Proceedings of the National Academy of Sciences of the United States of America
|August 15, 1991
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Dynamic Modeling of the Interaction Between Autophagy and Apoptosis in Mammalian Cells.

CPT: pharmacometrics & systems pharmacology·2015
Same author

A simple model of circadian rhythms based on dimerization and proteolysis of PER and TIM.

Biophysical journal·2010
Same author

Globally optimised parameters for a model of mitotic control in frog egg extracts.

Systems biology·2006
Same author

Computer evaluation of network dynamics models with application to cell cycle control in budding yeast.

Systems biology·2006
Same author

Modelling the controls of the eukaryotic cell cycle.

Biochemical Society transactions·2003
Same author

Network dynamics and cell physiology.

Nature reviews. Molecular cell biology·2001
Same journal

Chemotactic self-organization captures the dynamics of mammalian hair follicle patterning.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Tomographic imaging of superconducting order using particle-hole interference.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Inhibitory potential of autologous neutralizing antibodies sets quantitative limits on the rebound-competent HIV-1 reservoir.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Inferring epidemiological parameters under an infectious phylogeography model with visitor dynamics.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Analytical modeling for suction cup designs for skin-interfaced wearable devices.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Improving cell-free metabolism through direct integration of artificial respiratory chains.

Proceedings of the National Academy of Sciences of the United States of America·2026
See all related articles

Maturation promoting factor (MPF), a protein complex, controls cell cycle events. Mathematical modeling reveals MPF operates in three distinct modes, explaining cell cycle variations in different cell types.

Area of Science:

  • Cell Biology
  • Biophysics
  • Mathematical Biology

Background:

  • The cell cycle is a fundamental biological process.
  • Maturation promoting factor (MPF), a heterodimer of cdc2 and cyclin, is a key regulator of cell cycle progression.
  • Understanding MPF's regulatory mechanisms is crucial for comprehending cell division.

Purpose of the Study:

  • To construct and analyze a mathematical model of cdc2 and cyclin interactions.
  • To elucidate the different operational modes of the MPF control system.
  • To correlate these modes with specific cell cycle behaviors observed in various cell types.

Main Methods:

  • Development of a mathematical model simulating cdc2 and cyclin interactions.
  • Computational analysis of the model to identify distinct dynamic behaviors.

Related Experiment Videos

  • Comparison of model predictions with known cell cycle characteristics.

    • Main Results:

    • The model demonstrates three distinct modes of MPF activity: a steady state, spontaneous oscillations, and an excitable switch.
    • The steady state mode corresponds to metaphase arrest in unfertilized eggs.
    • Spontaneous oscillations align with rapid cell divisions in early embryos.
    • The excitable switch mode is associated with growth-controlled divisions in somatic cells.

    Conclusions:

    • The mathematical model successfully captures the complex regulatory dynamics of MPF.
    • MPF's regulatory system exhibits versatile operational modes that explain diverse cell cycle behaviors.
    • This framework provides insights into cell cycle control across different biological contexts, from embryonic development to somatic cell growth.