Literature DB >> 19185585

Logical analysis of the budding yeast cell cycle.

D J Irons1.   

Abstract

The budding yeast Saccharomyces cerevisiae is a model organism that is commonly used to investigate control of the eukaryotic cell cycle. Moreover, because of the extensive experimental data on wild type and mutant phenotypes, it is also particularly suitable for mathematical modelling and analysis. Here, I present a new Boolean model of the budding yeast cell cycle. This model is consistent with a wide range of wild type and mutant phenotypes and shows remarkable robustness against perturbations, both to reaction times and the states of component genes/proteins. Because of its simple logical nature, the model is suitable for sub-network analysis, which can be used to identify a four node core regulatory circuit underlying cell cycle regulation. Sub-network analysis can also be used to identify key sub-dynamics that are essential for viable cell cycle control, as well as identifying the sub-dynamics that are most variable between different mutants.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19185585     DOI: 10.1016/j.jtbi.2008.12.028

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  25 in total

1.  Unifying the mechanism of mitotic exit control in a spatiotemporal logical model.

Authors:  Rowan S M Howell; Cinzia Klemm; Peter H Thorpe; Attila Csikász-Nagy
Journal:  PLoS Biol       Date:  2020-11-12       Impact factor: 8.029

2.  Canalization and control in automata networks: body segmentation in Drosophila melanogaster.

Authors:  Manuel Marques-Pita; Luis M Rocha
Journal:  PLoS One       Date:  2013-03-08       Impact factor: 3.240

3.  Timing robustness in the budding and fission yeast cell cycles.

Authors:  Karan Mangla; David L Dill; Mark A Horowitz
Journal:  PLoS One       Date:  2010-02-01       Impact factor: 3.240

4.  Fragilities caused by dosage imbalance in regulation of the budding yeast cell cycle.

Authors:  Kazunari Kaizu; Hisao Moriya; Hiroaki Kitano
Journal:  PLoS Genet       Date:  2010-04-22       Impact factor: 5.917

5.  Deterministic and stochastic models of genetic regulatory networks.

Authors:  Ilya Shmulevich; John D Aitchison
Journal:  Methods Enzymol       Date:  2009       Impact factor: 1.600

6.  Modeling stochasticity and variability in gene regulatory networks.

Authors:  David Murrugarra; Alan Veliz-Cuba; Boris Aguilar; Seda Arat; Reinhard Laubenbacher
Journal:  EURASIP J Bioinform Syst Biol       Date:  2012-06-06

7.  The Cell Collective: toward an open and collaborative approach to systems biology.

Authors:  Tomáš Helikar; Bryan Kowal; Sean McClenathan; Mitchell Bruckner; Thaine Rowley; Alex Madrahimov; Ben Wicks; Manish Shrestha; Kahani Limbu; Jim A Rogers
Journal:  BMC Syst Biol       Date:  2012-08-07

8.  Bio-logic builder: a non-technical tool for building dynamical, qualitative models.

Authors:  Tomáš Helikar; Bryan Kowal; Alex Madrahimov; Manish Shrestha; Jay Pedersen; Kahani Limbu; Ishwor Thapa; Thaine Rowley; Rahul Satalkar; Naomi Kochi; John Konvalina; Jim A Rogers
Journal:  PLoS One       Date:  2012-10-17       Impact factor: 3.240

9.  Ergodic sets as cell phenotype of budding yeast cell cycle.

Authors:  Robert G Todd; Tomáš Helikar
Journal:  PLoS One       Date:  2012-10-01       Impact factor: 3.240

10.  Majority rules with random tie-breaking in Boolean gene regulatory networks.

Authors:  Claudine Chaouiya; Ouerdia Ourrad; Ricardo Lima
Journal:  PLoS One       Date:  2013-07-26       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.