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Virginia Tech

Mathematical Models of Some Signaling Pathways Regulating Cell Survival and Death

Abstract

dc:description.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.

Degree

thesis:*
Name thesis:degree_name
Ph. D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Genetics, Bioinformatics, and Computational Biology
Department dc:contributor.department
Genetics, Bioinformatics, and Computational Biology
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2008

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zhang, Tongli
Chairs dc:contributor.committeechair
  • Tyson, John J.
  • Brazhnik, Paul
Committee members dc:contributor.committeemember
  • Li, Liwu
  • Mendes, Pedro J. P.
  • Finkielstein, Carla V.
  • Burns, John A.

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
etd-11032008-114621
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/29443

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Zhang, Tongli. Mathematical Models of Some Signaling Pathways Regulating Cell Survival and Death. doctoral thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/29443