Overview
- Nominated as an outstanding Ph.D. thesis by the University of Aberdeen, UK
- Includes the first computational model of the entire cell cycle and its interaction with the osmotic stress response network
- Presents a comprehensive model that yields a set of novel predictions to guide further experiments
- Also applies the model's predictions to higher eukaryotes
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (5 chapters)
Keywords
- Accelerated Exit from Mitosis
- Boolean Model of Cell Cycle Stress Response
- Cell Cycle Stress Responses
- Cell Cycle of S. Cerevisiae
- Computational Model of Cell Cycle Stress
- DNA Re-replication Under Stress
- Mathematical Models of Cell Cycle Stress
- Osmotic Stress and Cell Cycle Regulation
- Cell Cycle Analysis
About this book
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This work presents the first description of two complementary computational models describing the influence of osmotic stress on the entire cell cycle of S. cerevisiae. Our models condense a vast amount of experimental evidence on the interaction of the cell cycle network components with the osmotic stress pathway. Importantly, it is only by considering the entire cell cycle that we are able to make a series of novel predictions which emerge from the coupling between the molecular components of different cell cycle phases.
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The model-based predictions are supported by experiments in S. cerevisiae and, moreover, have recently been observed in other eukaryotes. Furthermore our models reveal the mechanisms that emerge as a result of the interaction between the cell cycle and stress response networks.
Authors and Affiliations
Bibliographic Information
Book Title: Mathematical Modelling of the Cell Cycle Stress Response
Authors: Elahe Radmaneshfar
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-00744-1
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-00743-4Published: 17 October 2013
Softcover ISBN: 978-3-319-34620-5Published: 23 August 2016
eBook ISBN: 978-3-319-00744-1Published: 08 October 2013
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XV, 109
Number of Illustrations: 7 b/w illustrations, 29 illustrations in colour
Topics: Biological and Medical Physics, Biophysics, Cell Cycle Analysis, Physiological, Cellular and Medical Topics, Computational Biology/Bioinformatics, Applications of Graph Theory and Complex Networks