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From START to FINISH: computational analysis of cell cycle control in budding yeast
In the cell division cycle of budding yeast, START refers to a set of tightly linked events that prepare a cell for budding and DNA replication, and FINISH denotes the interrelated events by which the cell exits from mitosis and divides into mother and daughter cells. On the basis of recent progress...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5516803/ https://www.ncbi.nlm.nih.gov/pubmed/28725464 http://dx.doi.org/10.1038/npjsba.2015.16 |
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author | Kraikivski, Pavel Chen, Katherine C Laomettachit, Teeraphan Murali, T M Tyson, John J |
author_facet | Kraikivski, Pavel Chen, Katherine C Laomettachit, Teeraphan Murali, T M Tyson, John J |
author_sort | Kraikivski, Pavel |
collection | PubMed |
description | In the cell division cycle of budding yeast, START refers to a set of tightly linked events that prepare a cell for budding and DNA replication, and FINISH denotes the interrelated events by which the cell exits from mitosis and divides into mother and daughter cells. On the basis of recent progress made by molecular biologists in characterizing the genes and proteins that control START and FINISH, we crafted a new mathematical model of cell cycle progression in yeast. Our model exploits a natural separation of time scales in the cell cycle control network to construct a system of differential-algebraic equations for protein synthesis and degradation, post-translational modifications, and rapid formation and dissociation of multimeric complexes. The model provides a unified account of the observed phenotypes of 257 mutant yeast strains (98% of the 263 strains in the data set used to constrain the model). We then use the model to predict the phenotypes of 30 novel combinations of mutant alleles. Our comprehensive model of the molecular events controlling cell cycle progression in budding yeast has both explanatory and predictive power. Future experimental tests of the model’s predictions will be useful to refine the underlying molecular mechanism, to constrain the adjustable parameters of the model, and to provide new insights into how the cell division cycle is regulated in budding yeast. |
format | Online Article Text |
id | pubmed-5516803 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-55168032017-07-19 From START to FINISH: computational analysis of cell cycle control in budding yeast Kraikivski, Pavel Chen, Katherine C Laomettachit, Teeraphan Murali, T M Tyson, John J NPJ Syst Biol Appl Article In the cell division cycle of budding yeast, START refers to a set of tightly linked events that prepare a cell for budding and DNA replication, and FINISH denotes the interrelated events by which the cell exits from mitosis and divides into mother and daughter cells. On the basis of recent progress made by molecular biologists in characterizing the genes and proteins that control START and FINISH, we crafted a new mathematical model of cell cycle progression in yeast. Our model exploits a natural separation of time scales in the cell cycle control network to construct a system of differential-algebraic equations for protein synthesis and degradation, post-translational modifications, and rapid formation and dissociation of multimeric complexes. The model provides a unified account of the observed phenotypes of 257 mutant yeast strains (98% of the 263 strains in the data set used to constrain the model). We then use the model to predict the phenotypes of 30 novel combinations of mutant alleles. Our comprehensive model of the molecular events controlling cell cycle progression in budding yeast has both explanatory and predictive power. Future experimental tests of the model’s predictions will be useful to refine the underlying molecular mechanism, to constrain the adjustable parameters of the model, and to provide new insights into how the cell division cycle is regulated in budding yeast. Nature Publishing Group 2015-12-10 /pmc/articles/PMC5516803/ /pubmed/28725464 http://dx.doi.org/10.1038/npjsba.2015.16 Text en Copyright © 2015 The Systems Biology Institute/Macmillan Publishers Limited http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ |
spellingShingle | Article Kraikivski, Pavel Chen, Katherine C Laomettachit, Teeraphan Murali, T M Tyson, John J From START to FINISH: computational analysis of cell cycle control in budding yeast |
title | From START to FINISH: computational analysis of cell cycle control in budding yeast |
title_full | From START to FINISH: computational analysis of cell cycle control in budding yeast |
title_fullStr | From START to FINISH: computational analysis of cell cycle control in budding yeast |
title_full_unstemmed | From START to FINISH: computational analysis of cell cycle control in budding yeast |
title_short | From START to FINISH: computational analysis of cell cycle control in budding yeast |
title_sort | from start to finish: computational analysis of cell cycle control in budding yeast |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5516803/ https://www.ncbi.nlm.nih.gov/pubmed/28725464 http://dx.doi.org/10.1038/npjsba.2015.16 |
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