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Driving the cell cycle with a minimal CDK control network

Author

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  • Damien Coudreuse

    (Laboratory of Yeast Genetics and Cell Biology, The Rockefeller University, 1230 York Avenue, New York, New York 10065, USA)

  • Paul Nurse

    (Laboratory of Yeast Genetics and Cell Biology, The Rockefeller University, 1230 York Avenue, New York, New York 10065, USA)

Abstract

Control of eukaryotic cell proliferation involves an extended regulatory network, the complexity of which has made it difficult to understand the basic principles of the cell cycle. To investigate the core engine of the mitotic cycle we have generated a minimal control network in fission yeast that efficiently sustains cellular reproduction. Here we demonstrate that orderly progression through the major events of the cell cycle can be driven by oscillation of an engineered monomolecular cyclin-dependent protein kinase (CDK) module lacking much of the canonical regulation. We show further that the CDK oscillator acts as the primary organizer of the cell cycle, imposing timing and directionality to a system of two CDK activity thresholds that define independent cell cycle phases. We propose that this simple core architecture forms the basic control of the eukaryotic cell cycle.

Suggested Citation

  • Damien Coudreuse & Paul Nurse, 2010. "Driving the cell cycle with a minimal CDK control network," Nature, Nature, vol. 468(7327), pages 1074-1079, December.
  • Handle: RePEc:nat:nature:v:468:y:2010:i:7327:d:10.1038_nature09543
    DOI: 10.1038/nature09543
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    Cited by:

    1. Juan Manuel Valverde & Geronimo Dubra & Michael Phillips & Austin Haider & Carlos Elena-Real & Aurélie Fournet & Emile Alghoul & Dhanvantri Chahar & Nuria Andrés-Sanchez & Matteo Paloni & Pau Bernadó , 2023. "A cyclin-dependent kinase-mediated phosphorylation switch of disordered protein condensation," Nature Communications, Nature, vol. 14(1), pages 1-23, December.
    2. Zhang, L.W. & Cheng, Y.M. & Liew, K.M., 2014. "A mathematical study of the robustness of G2/M regulatory network in response to DNA damage with parameters sensitivity," Applied Mathematics and Computation, Elsevier, vol. 232(C), pages 365-374.

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