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Manipulation and Analysis of Cell Cycle-Dependent Processes in Budding Yeast
Published on: September 26, 2025
Stochastic exit from mitosis in budding yeast: model predictions and experimental observations
David A Ball1, Tae-Hyuk Ahn, Pengyuan Wang
1Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
Cell Cycle (Georgetown, Tex.)
|February 26, 2011
Summary
The CLB2-dbΔ clb5Δ yeast mutant shows partial viability on raffinose, exhibiting cell cycle exit due to division failures. A stochastic model accurately captures this behavior, aiding future research in eukaryotes.
Area of Science:
- Cell Biology
- Mathematical Biology
- Genetics
Background:
- The CLB2-dbΔ clb5Δ mutant in Saccharomyces cerevisiae displays unique viability characteristics, being inviable in glucose but partially viable on raffinose.
- This partial viability is associated with a stochastic cell cycle phenotype, specifically telophase arrest and subsequent cell cycle exit, which deterministic models cannot fully explain.
Purpose of the Study:
- To characterize the stochastic cell division behavior of the CLB2-dbΔ clb5Δ mutant on raffinose.
- To develop and validate a stochastic mathematical model of the budding yeast cell cycle that can capture the observed mutant phenotype.
Main Methods:
- Experimental measurement of inter-bud times in wild type and CLB2-dbΔ clb5Δ mutant yeast cells.
- Statistical analysis and distribution computation to characterize cell cycle behavior.
- Conversion of a deterministic cell cycle model into a stochastic model for comparison with experimental data.
Main Results:
- The CLB2-dbΔ clb5Δ mutant exhibits a stochastic phenotype on raffinose, with cells occasionally failing to divide and exiting the cell cycle.
- The developed stochastic mathematical model demonstrated reasonable agreement with the experimental data.
- The model's predictions suggest potential avenues for further refinement and understanding of the mutant's behavior.
Conclusions:
- Stochastic modeling is crucial for accurately describing and understanding phenotypes like that of the CLB2-dbΔ clb5Δ mutant.
- The validated stochastic model provides insights into the yeast cell cycle and its perturbations.
- Accurate modeling of stochastic phenotypes is essential for advancing the understanding of diseases and therapeutic strategies in higher eukaryotes.
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