The CLN gene family: Central regulators of cell cycle Start in budding yeast

1995 ◽  
pp. 101-114 ◽  
Author(s):  
Kristi Levine ◽  
Arthur H. Tinkelenberg ◽  
Frederick Cross
Keyword(s):  
2021 ◽  
Vol 7 (23) ◽  
pp. eabg0007
Author(s):  
Deniz Pirincci Ercan ◽  
Florine Chrétien ◽  
Probir Chakravarty ◽  
Helen R. Flynn ◽  
Ambrosius P. Snijders ◽  
...  

Two models have been put forward for cyclin-dependent kinase (Cdk) control of the cell cycle. In the qualitative model, cell cycle events are ordered by distinct substrate specificities of successive cyclin waves. Alternatively, in the quantitative model, the gradual rise of Cdk activity from G1 phase to mitosis leads to ordered substrate phosphorylation at sequential thresholds. Here, we study the relative contributions of qualitative and quantitative Cdk control in Saccharomyces cerevisiae. All S phase and mitotic cyclins can be replaced by a single mitotic cyclin, albeit at the cost of reduced fitness. A single cyclin can also replace all G1 cyclins to support ordered cell cycle progression, fulfilling key predictions of the quantitative model. However, single-cyclin cells fail to polarize or grow buds and thus cannot survive. Our results suggest that budding yeast has become dependent on G1 cyclin specificity to couple cell cycle progression to essential morphogenetic events.


2007 ◽  
Vol 3 ◽  
pp. 117693510700300 ◽  
Author(s):  
B.P. Ingalls ◽  
B.P. Duncker ◽  
D.R. Kim ◽  
B.J. McConkey

Proteins involved in the regulation of the cell cycle are highly conserved across all eukaryotes, and so a relatively simple eukaryote such as yeast can provide insight into a variety of cell cycle perturbations including those that occur in human cancer. To date, the budding yeast Saccharomyces cerevisiae has provided the largest amount of experimental and modeling data on the progression of the cell cycle, making it a logical choice for in-depth studies of this process. Moreover, the advent of methods for collection of high-throughput genome, transcriptome, and proteome data has provided a means to collect and precisely quantify simultaneous cell cycle gene transcript and protein levels, permitting modeling of the cell cycle on the systems level. With the appropriate mathematical framework and sufficient and accurate data on cell cycle components, it should be possible to create a model of the cell cycle that not only effectively describes its operation, but can also predict responses to perturbations such as variation in protein levels and responses to external stimuli including targeted inhibition by drugs. In this review, we summarize existing data on the yeast cell cycle, proteomics technologies for quantifying cell cycle proteins, and the mathematical frameworks that can integrate this data into representative and effective models. Systems level modeling of the cell cycle will require the integration of high-quality data with the appropriate mathematical framework, which can currently be attained through the combination of dynamic modeling based on proteomics data and using yeast as a model organism.


2003 ◽  
Vol 23 (5) ◽  
pp. 1750-1763 ◽  
Author(s):  
Hilary A. Kemp ◽  
George F. Sprague,

ABSTRACT In budding yeast, diffusible mating pheromones initiate a signaling pathway that culminates in several responses, including cell cycle arrest. Only a handful of genes required for the interface between pheromone response and the cell cycle have been identified, among them FAR1 and FAR3; of these, only FAR1 has been extensively characterized. In an effort to learn about the mechanism by which Far3 acts, we used the two-hybrid method to identify interacting proteins. We identified five previously uncharacterized open reading frames, dubbed FAR7, FAR8, FAR9, FAR10, and FAR11, that cause a far3-like pheromone arrest defect when disrupted. Using two-hybrid and coimmunoprecipitation analysis, we found that all six Far proteins interact with each other. Moreover, velocity sedimentation experiments suggest that Far3 and Far7 to Far11 form a complex. The phenotype of a sextuple far3far7-far11 mutant is no more severe than any single mutant. Thus, FAR3 and FAR7 to FAR11 all participate in the same pathway leading to G1 arrest. These mutants initially arrest in response to pheromone but resume budding after 10 h. Under these conditions, wild-type cells fail to resume budding even after several days whereas far1 mutant cells resume budding within 1 h. We conclude that the FAR3-dependent arrest pathway is functionally distinct from that which employs FAR1.


2007 ◽  
pp. 217-227
Author(s):  
Fangting Li ◽  
Ying Lu ◽  
Tao Long ◽  
Qi Ouyang ◽  
Chao Tang

Cell Cycle ◽  
2005 ◽  
Vol 4 (10) ◽  
pp. 1346-1349 ◽  
Author(s):  
Kyung S. Lee ◽  
Satoshi Asano ◽  
Jung-Eun Park ◽  
Krisada Sakchaisri ◽  
Raymond L. Erikson
Keyword(s):  

2013 ◽  
Vol 7 (1) ◽  
pp. 53 ◽  
Author(s):  
Cihan Oguz ◽  
Teeraphan Laomettachit ◽  
Katherine C Chen ◽  
Layne T Watson ◽  
William T Baumann ◽  
...  

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