Computational Analysis of the Rb-E2F Pathway: Classification of Parameters

Persistent Link:
http://hdl.handle.net/10150/595064
Title:
Computational Analysis of the Rb-E2F Pathway: Classification of Parameters
Author:
Kim, Jun-Young Sun
Issue Date:
2015
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The restriction point, or R-point, of the cell cycle behaves as a switch-like system which controls whether a cell progresses from the G1 phase to the S phase. The mechanism which controls the restriction point has been determined to be the Rb-E2F pathway. The Rb-E2F pathway is bistable; this allows for the system to exist in two states, ON or OFF, and explains the switch-like behavior observed in the R-point. The stimulus of this system is serum growth signal which exist at a concentration either low enough to keep the cells in a non-growing state called cellular quiescence or at a high level that activates the pathway into the ON state and commits the cell into proliferation. Yao et al. constructed a mathematical model to analyze the dynamics of the Rb-E2F pathway. The research of this paper involves the classification of the parameters used in this mathematical model to better understand similarities and differences of the components within the network's topology. Once classified, further analysis was performed with parameters that resulted in the decrease of bistable width. Only two phenotypes were observed from this analysis which suggests some potential evolutionary advantages of the bistable system.
Type:
text; Electronic Thesis
Degree Name:
B.S.
Degree Level:
bachelors
Degree Program:
Honors College; Molecular and Cellular Biology
Degree Grantor:
University of Arizona
Advisor:
Yao, Guang

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleComputational Analysis of the Rb-E2F Pathway: Classification of Parametersen_US
dc.creatorKim, Jun-Young Sunen
dc.contributor.authorKim, Jun-Young Sunen
dc.date.issued2015en
dc.publisherThe University of Arizona.en
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en
dc.description.abstractThe restriction point, or R-point, of the cell cycle behaves as a switch-like system which controls whether a cell progresses from the G1 phase to the S phase. The mechanism which controls the restriction point has been determined to be the Rb-E2F pathway. The Rb-E2F pathway is bistable; this allows for the system to exist in two states, ON or OFF, and explains the switch-like behavior observed in the R-point. The stimulus of this system is serum growth signal which exist at a concentration either low enough to keep the cells in a non-growing state called cellular quiescence or at a high level that activates the pathway into the ON state and commits the cell into proliferation. Yao et al. constructed a mathematical model to analyze the dynamics of the Rb-E2F pathway. The research of this paper involves the classification of the parameters used in this mathematical model to better understand similarities and differences of the components within the network's topology. Once classified, further analysis was performed with parameters that resulted in the decrease of bistable width. Only two phenotypes were observed from this analysis which suggests some potential evolutionary advantages of the bistable system.en
dc.typetexten
dc.typeElectronic Thesisen
thesis.degree.nameB.S.en
thesis.degree.levelbachelorsen
thesis.degree.disciplineHonors Collegeen
thesis.degree.disciplineMolecular and Cellular Biologyen
thesis.degree.grantorUniversity of Arizonaen
dc.contributor.advisorYao, Guangen
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