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  4. Dynamic modeling of cancer cell migration in an extracellular matrix fiber network

Dynamic modeling of cancer cell migration in an extracellular matrix fiber network

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ACC 2017 MinCheol Kim Feb-28-17.pdf

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Author(s)
Kim, Min-Cheol
•
Abeyaratne, Rohan
•
Kamm, Roger Dale
•
Asada, H. Harry
Date Issued
July 2017
Journal
Proceedings of the American Control Conference
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Kim, Min-Cheol et al. "Dynamic modeling of cancer cell migration in an extracellular matrix fiber network." Proceedings of the American Control Conference, May 2017, Seattle, Washington, USA, Institute of Electrical and Electronics Engineers, July 2017 © 2017 IEEE
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Author's final manuscript
Abstract
We have established a dynamic modeling framework for predicting spatiotemporal behaviors of cancer cell migration in the extracellular matrix (ECM). Dynamic model of cancer cell migration is integrated from four individual simulations, such as 1) filopodia penetration dynamics into the ECM, 2) intracellular mechanics including remodeling of cellular and nuclear membranes, contractile motion of actin stress fibers, and focal adhesion dynamics, 3) structural mechanics of ECM fiber networks, and 4) reaction diffusion mass transfer of degrading enzymes in the ECM. This work is motivated by experimental observations of malignant cancer cell migration, which shows that abundant filopodial formation in cancer cells is a critical characteristic of aggressive cancer cell which invade into the tissue. The dynamic model presented in this work suggests the mechanical interplay between filopodia of cancer cell and surrounding viscoelastic ECM fiber network. The work presented here compares filopodia dynamics in between soft and stiff ECMs varying its pore size.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Singapore-MIT Alliance in Research and Technology (SMART)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/124201
DOI of Published Version
https://doi.org/10.23919/acc.2017.7963047
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