A stochastic model correctly predicts changes in budding yeast cell cycle dynamics upon periodic expression of CLN2

PloS One
Cihan OguzJohn J Tyson

Abstract

In this study, we focus on a recent stochastic budding yeast cell cycle model. First, we estimate the model parameters using extensive data sets: phenotypes of 110 genetic strains, single cell statistics of wild type and cln3 strains. Optimization of stochastic model parameters is achieved by an automated algorithm we recently used for a deterministic cell cycle model. Next, in order to test the predictive ability of the stochastic model, we focus on a recent experimental study in which forced periodic expression of CLN2 cyclin (driven by MET3 promoter in cln3 background) has been used to synchronize budding yeast cell colonies. We demonstrate that the model correctly predicts the experimentally observed synchronization levels and cell cycle statistics of mother and daughter cells under various experimental conditions (numerical data that is not enforced in parameter optimization), in addition to correctly predicting the qualitative changes in size control due to forced CLN2 expression. Our model also generates a novel prediction: under frequent CLN2 expression pulses, G1 phase duration is bimodal among small-born cells. These cells originate from daughters with extended budded periods due to size control during the budded peri...Continue Reading

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Citations

Oct 16, 2015·Journal of Theoretical Biology·Hafiz AhmedDenis Efimov
Oct 1, 2015·Scientific Reports·Hao Zhu, Yanlan Mao
May 14, 2016·Physical Biology·Neşe Aral, Alkan Kabakçıoğlu
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Related Concepts

CLN2 protein, S cerevisiae
Cell Cycle
Saccharomyces cerevisiae
Stochastic Processes
Gene Expression Regulation, Fungal
Cyclins
Saccharomyces cerevisiae Proteins
Cell Volume
Yeasts
Promoter

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