Defense Date
2025
Document Type
Thesis
Degree Name
Master of Science
Department
Biomedical Engineering
First Advisor
Christopher Lemmon
Second Advisor
Rebecca Heise
Third Advisor
Preetam Ghosh
Abstract
The induction of Epithelial Mesenchymal Transition (EMT) is initiated by a
number of protiens and growth factors, one of which is the profibrotic cytokine Trans-
forming Growth Factor β (TGF-β). Within the extracellular matrix (ECM), TGF-β
is found in a latent, inactive form bound to proteins such as fibronectin (FN). For
TGF-β to contribute to EMT induction, it has to be extracted from the latent com-
plexes into a soluble form. This soluble, activated TGF-β can then bind to receptors
on the cell membrane, which causes the transduction of signals that begin EMT. Re-
search has shown that the release of soluble TGF-β is mediated by integrins on the
cell membrane. The binding of the Latency Associated Peptide (LAP) and of soluble
FN to integrins αv and α5 respectively triggers the activation of motor and formin
proteins that contribute to the assembly of ECM and contract to release soluble, ac-
tive TGF-β from the latent complexes. While there is extensive research on the roles
of TGF-β and integrin signaling in inducing EMT, the synergistic effects of the two
remain unexplored. To investigate the combinatorial effects of the two, we developed
viiia deterministic model simulating the integrin-mediated unfolding of the complexes
that release active TGF-β that can then bind to receptors to induce EMT signaling
A deterministic model consisting of 13 ODEs was developed representing the
unfolding of latent TGF-β and the binding of fibronectin and the latent TGF-β com-
plexes with transmembrane integrins using the compiled results of numerous experi-
mental studies. A combination of rate law kinetics and the Hill activation equation
were used to develop the model, and rates were optimized using steady state values
derived experimentally or from assumptions based on knowledge of the behavior of
the variables. The model was validated by running simulations mimicking the treat-
ment of MCF10A human breast cells with soluble TGF-β and comparing the final
concentrations of the components of the system. Simulations of the inhibition of in-
tegrin activity were then run to use the model to predict the extent of influence of
integrin signaling in the progression of the system.
Rights
© The Author
Is Part Of
VCU University Archives
Is Part Of
VCU Theses and Dissertations
Date of Submission
5-9-2025
Included in
Molecular, Cellular, and Tissue Engineering Commons, Other Biomedical Engineering and Bioengineering Commons