Mathematical modeling of epithelial cell division: evaluating the effects of human papillomavirus infection

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Title Mathematical modeling of epithelial cell division: evaluating the effects of human papillomavirus infection
Publication Type dissertation
School or College College of Science
Department Mathematics
Author Miller, Anna K.
Date 2018
Description We develop mathematical models to study the effect of changes to the regulation of cell division during human papillomavirus (HPV) infections at the molecular and the tissue level. At the molecular level, the HPV viral protein E7 binds to and inactivates the retinoblastoma tumor suppressor protein (RB), a key regulatory protein of the cell cycle. We examine how the regulation of the G1/S transition is modified due to growth factor concentration, E7 concentration, and differences in RB binding affinity. At the tissue level, HPV infected cells interact with uninfected cells during the viral life cycle, which may influence disease progression. We develop a mathematical model of homeostatic tissue that incorporates cell division due to growth factor and low cell density, and cell delamination due to high cell density, which we use as a framework to study how growth factor, growth factor receptors, and cell density contribute to the rate and spread of HPV infections in tissue.
Type Text
Publisher University of Utah
Subject Virology; Cellular biology; Mathematical models; Human papillomavirus; Cell division
Dissertation Name Doctor of Philosophy
Language eng
Rights Management (c) Anna K. Miller
Format application/pdf
Format Medium application/pdf
ARK ark:/87278/s62g2qnx
Setname ir_etd
ID 1525832
Reference URL https://collections.lib.utah.edu/ark:/87278/s62g2qnx
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