Type of Document	Dissertation
Author	Zhang, Tongli
Author's Email Address	tongli@vt.edu
URN	etd-11032008-114621
Title	Mathematical Models of Some Signaling Pathways Regulating Cell Survival and Death
Degree	PhD
Department	GBCB
Advisory Committee	Advisor Name Title John Tyson Committee Chair Paul Brazhnik Committee Co-Chair Carla Finkielstein Committee Member John A. Burns Committee Member Liwu Li Committee Member Pedro Mendes Committee Member
Keywords	mathematical modeling systems biology apoptosis p53 NFkB
Date of Defense	2008-10-23
Availability	restricted
Abstract In a multi-cellular organism, cells constantly receive signals on their internal condition and surrounding environment. In response to various signals, cells proliferate, move around or even undergo suicide. The signal-response is controlled by complex molecular machinery, understanding of which is an important goal of basic molecular biological research. Such understanding is also valuable for clinical application, since lethal diseases like cancer show maladaptive responses to growth-regulating signals. Because the multiple feedbacks in the molecular regulatory machinery obscure cause-effect relations, it is hard to understand these control systems by intuition alone. Here we translate the molecular interactions into differential equations and recapture the cellular physiological properties with the help of numerical simulations and non-linear dynamical tools. The models address the physiological features of programmed cell death, the cell fate decision by p53 and the dynamics of the NF-?B control system. These models identify key molecular interactions responsible for the observed physiological properties, and they generate experimentally testable predictions to validate the assumptions made in the models.
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