Browsing by Author "Prahl, Louis"
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Item Microtubule-based control of glioma cell migration mechanics(2018-08) Prahl, LouisCell migration underlies the extensive tissue invasion that drives brain tumor (glioma) progression. Glioma cell migration involves the coordinated mechanical functions of the actin cytoskeleton, myosin motors, and substrate adhesions through a biophysical motor-clutch model. Although computational forms of the motor-clutch model predict glioma cell migration behaviors as a function of tissue stiffness, less is known about how other cellular structures such as microtubules influence migration. Presently, a number of microtubule-targeting agents (MTAs) are used to treat various cancers (including gliomas) so understanding their mechanism of action is necessary in order to develop better therapies. In this dissertation, I show that two commonly used MTAs (paclitaxel and vinblastine) each have distinct and nearly opposite effects on traction forces that motor-clutch simulations predict, and which correlate with changes to microtubule organization and dynamics. Effects of MTAs are consistent with influencing F-actin assembly and nucleation rates of protrusions, which impairs the ability of glioma cells to spontaneously polarize and migrate. Microtubule-dependent signaling networks that are perturbed in MTA-treated cells support novel roles for receptor tyrosine kinase (RTK) signaling pathways in mediating these effects. In the final study, we use microfabricated channels that replicate geometric and mechanical features of brain tissue alongside simulation-based methods to study confined glioma cell migration. Simulations recapitulate the dynamics of glioma cell migration in microchannels, as well as accurate predictions of the effects of MTAs and other pharmacological inhibitors of motor-clutch system components. This provides novel evidence for motor-clutch-based cell migration in confinement. In summary, this dissertation identifies specific mechanisms by which microtubules regulate motor-clutch based migration of glioma cells, and outlines a systems-level physics-based approach for understanding anti-motility therapy.Item A Software to Automatically Track Cell Protrusions(2017) Tazegul, Tutku E; Prahl, Louis; Odde, Dave; Chan, Clarence; Bangasser, Ben; Tuzel, Erkan; Opoku, Kwaku; Castle, Michael; Klank, RebeccaThis software was designed to automatically track U251 glioma cell protrusions in an effort to extract certain biophysical parameters from a population of cells. It is a modified form of a previous software used to track cell migration patterns (Bangasser et. al. Nat. Com. 2017).