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Cell Size at S Phase Initiation: An Emergent Property of the G1/S Network
Author(s) -
Matteo Barberis,
Edda Klipp,
Marco Vai,
Lilia Alberghina
Publication year - 2007
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.0030064
Subject(s) - cell cycle , cyclin dependent kinase 1 , microbiology and biotechnology , cyclin , cyclin dependent kinase , biology , cell division , restriction point , cyclin a , computational biology , cell , biological system , genetics
The eukaryotic cell cycle is the repeated sequence of events that enable the division of a cell into two daughter cells. It is divided into four phases: G 1 , S, G 2 , and M. Passage through the cell cycle is strictly regulated by a molecular interaction network, which involves the periodic synthesis and destruction of cyclins that bind and activate cyclin-dependent kinases that are present in nonlimiting amounts. Cyclin-dependent kinase inhibitors contribute to cell cycle control. Budding yeast is an established model organism for cell cycle studies, and several mathematical models have been proposed for its cell cycle. An area of major relevance in cell cycle control is the G 1 to S transition. In any given growth condition, it is characterized by the requirement of a specific, critical cell size, P S , to enter S phase. The molecular basis of this control is still under discussion. The authors report a mathematical model of the G 1 to S network that newly takes into account nucleo/cytoplasmic localization, the role of the cyclin-dependent kinase Sic1 in facilitating nuclear import of its cognate Cdk1-Clb5, Whi5 control, and carbon source regulation of Sic1 and Sic1-containing complexes. The model was implemented by a set of ordinary differential equations that describe the temporal change of the concentration of the involved proteins and protein complexes. The model was tested by simulation in several genetic and nutritional setups and was found to be neatly consistent with experimental data. To estimate P S , the authors developed a hybrid model including a probabilistic component for firing of DNA replication origins. Sensitivity analysis of P S provides a novel relevant conclusion: P S is an emergent property of the G 1 to S network that strongly depends on growth rate.

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