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Massachusetts Institute of Technology

The application of signaling networks to cancer metastasis and cellular motility through the EGFR pathway

Abstract

dc:description.abstract

This thesis explores the problem of cancer metastasis by analyzing the various downstream components of the epidermal growth factor receptor (EGFR) pathway. This work develops a mathematical model that consists of partial differential equations and signaling networks. Analysis techniques for these nonlinear reaction-diffusion equations included a study of the biological background and motivation, along with computational simulation of the various sets of models developed. The modeling effort combined biochemical reaction-diffusion equations for various species with mathematical descriptions of the mechanical machinery of the cell to characterize the foundations of cell movement in response to stimuli. By quantifying and qualifying the signaling networks and molecular pathways involved in cellular signaling and linking intracellular signaling to the mechanical machinery of the cell, it is possible to quickly check in silico the effects of changing various feedback parameters and signaling molecule concentrations. By creating a model of this process, it is possible to perform rapid tests of different pharmaceuticals on the biochemical and biomechanical pathways, in order to assess how they would affect cell motility and cancer metastasis on a large scale.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bharath, Ranjeetha
Advisor dc:contributor.advisor
  • Linda G. Griffith and Douglas A. Lauffenburger.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/100155
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/100155

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Bharath, Ranjeetha. The application of signaling networks to cancer metastasis and cellular motility through the EGFR pathway. Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100155