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Control Analysis of the Eukaryotic Cell Cycle Using Gene Copy-number Series in Yeast Tetraploids

Overview
Journal BMC Genomics
Publisher Biomed Central
Specialty Genetics
Date 2013 Nov 2
PMID 24176122
Citations 2
Authors
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Abstract

Background: In the model eukaryote, Saccharomyces cerevisiae, previous experiments have identified those genes that exert the most significant control over cell growth rate. These genes are termed HFC for high flux control. Such genes are overrepresented within pathways controlling the mitotic cell cycle.

Results: We postulated that the increase/decrease in growth rate is due to a change in the rate of progression through specific cell cycle steps. We extended and further developed an existing logical model of the yeast cell cycle in order elucidate how the HFC genes modulated progress through the cycle. This model can simulate gene dosage-variation and calculate the cycle time, determine the order and relative speed at which events occur, and predict arrests and failures to correctly execute a step. To experimentally test our model's predictions, we constructed a tetraploid series of deletion mutants for a set of eight genes that control the G2/M transition. This system allowed us to vary gene copy number through more intermediate levels than previous studies and examine the impact of copy-number variation on growth, cell-cycle phenotype, and response to different cellular stresses.

Conclusions: For the majority of strains, the predictions agreed with experimental observations, validating our model and its use for further predictions. Where simulation and experiment diverged, we uncovered both novel tetraploid-specific phenotypes and a switch in the determinative execution point of a key cell-cycle regulator, the Cdc28 kinase, from the G1/S to the S/G2 boundaries.

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LncRNAs of Saccharomyces cerevisiae bypass the cell cycle arrest imposed by ethanol stress.

Lazari L, Wolf I, Schnepper A, Valente G PLoS Comput Biol. 2022; 18(5):e1010081.

PMID: 35587936 PMC: 9232138. DOI: 10.1371/journal.pcbi.1010081.


Advances and challenges in logical modeling of cell cycle regulation: perspective for multi-scale, integrative yeast cell models.

Barberis M, Todd R, van der Zee L FEMS Yeast Res. 2016; 17(1).

PMID: 27993914 PMC: 5225787. DOI: 10.1093/femsyr/fow103.

References
1.
Zi Z, Liebermeister W, Klipp E . A quantitative study of the Hog1 MAPK response to fluctuating osmotic stress in Saccharomyces cerevisiae. PLoS One. 2010; 5(3):e9522. PMC: 2831999. DOI: 10.1371/journal.pone.0009522. View

2.
Harrison J, Zyla T, Bardes E, Lew D . Stress-specific activation mechanisms for the "cell integrity" MAPK pathway. J Biol Chem. 2003; 279(4):2616-22. DOI: 10.1074/jbc.M306110200. View

3.
Berger A, Knudson A, Pandolfi P . A continuum model for tumour suppression. Nature. 2011; 476(7359):163-9. PMC: 3206311. DOI: 10.1038/nature10275. View

4.
Bishop A, Shokat K . Acquisition of inhibitor-sensitive protein kinases through protein design. Pharmacol Ther. 1999; 82(2-3):337-46. DOI: 10.1016/s0163-7258(98)00060-6. View

5.
Barral Y, Parra M, Bidlingmaier S, Snyder M . Nim1-related kinases coordinate cell cycle progression with the organization of the peripheral cytoskeleton in yeast. Genes Dev. 1999; 13(2):176-87. PMC: 316392. DOI: 10.1101/gad.13.2.176. View