The Cell Cycle is a Limit Cycle^*

¹ Unité de Chronobiologie théorique, Faculté des Sciences, Université Libre de Bruxelles (ULB) Campus Plaine, CP 231, B-1050 Brussels, Belgium
² On leave at the Department of Biochemistry, University of Oxford, Oxford, UK

^⋆ Corresponding author. E-mail: agoldbet@ulb.ac.be

Abstract

Progression along the successive phases of the mammalian cell cycle is driven by a network of cyclin-dependent kinases (Cdks). This network is regulated by a variety of negative and positive feedback loops. We previously proposed a detailed, 39-variable model for the Cdk network and showed that it is capable of temporal self-organization in the form of sustained oscillations, which correspond to the repetitive, transient, sequential activation of the cyclin- Cdk complexes that govern the successive phases of the cell cycle [Gérard and Goldbeter (2009) Proc Natl Acad Sci 106, 21643-8]. Here we compare the dynamical behavior of three models of different complexity for the Cdk network driving the mammalian cell cycle. The first is the detailed model that counts 39 variables and is based on Michaelis-Menten kinetics for the enzymatic steps. From this detailed model, we build a version based only on mass-action kinetics, which counts 80 variables. In this version we do not need to assume that enzymes are present in much smaller amounts that their substrates, which is not necessarily the case in the cell cycle. We show that these two versions of the model for the Cdk network yield similar results. In particular they predict sustained oscillations of the limit cycle type. We show that the model for the Cdk network can be reduced to a version containing only 5 variables, which is more amenable to stochastic simulations. This skeleton version retains the dynamic properties of the more complex versions of the model for the Cdk network in regard to Cdk oscillations. The regulatory wiring of the Cdk network therefore governs its dynamic behavior, regardless of the degree of molecular detail. We discuss the relative advantages of each version of the model, all of which support the view that the mammalian cell cycle behaves as a limit cycle oscillator.