Microtubules as a Key Target in Oncology: Mathematical Modeling of Anti-MT Agents on Cell Migration
Offered By: Institut Henri Poincaré via YouTube
Course Description
Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a comprehensive lecture on the mathematical modeling of microtubules (MTs) and their role in cancer treatment. Delve into the importance of MTs in cellular processes such as cell movement, differentiation, and division, and understand why they are crucial targets for anti-cancer therapies. Learn about the anti-migratory effects of MT targeted agents (MTAs) on cancer and endothelial cells at low doses, opening new possibilities in cancer therapy. Examine a cell-centered mathematical model that describes cell migration while considering microtubule dynamics and the impact of MTAs. Discover how the model utilizes fluid-based approaches, level-set techniques, Stokes equations, and Reaction-Diffusion equations to simulate cell membrane deformation and biochemical states during migration. Explore the role of microtubules in activating and inactivating Rho-GTPases family proteins. Gain insights into the numerical simulation techniques, including Discrete Duality Finite Volume methods, used to implement the model. Analyze the realistic behavior of simulated cells in terms of shape, speed, and microtubule dynamics. Investigate different strategies for modeling the mechanisms of depolymerizing MTAs like Vincristin, and observe the model's robustness in various scenarios.
Syllabus
Microtubules a key target in oncology: mathematical modeling of anti-MT agents on cell migration
Taught by
Institut Henri Poincaré
Related Courses
Advanced Capstone Spacecraft Dynamics and Control ProjectUniversity of Colorado Boulder via Coursera 算法设计与分析 Design and Analysis of Algorithms
Peking University via Coursera Fundamentos del análisis de datos para la toma de decisiones
Tecnológico de Monterrey via Coursera On Ramp to AP* Biology
Weston High School via edX Applied Calculus with Python
Johns Hopkins University via Coursera