Genre
Journal ArticleDate
2017-05-22Author
Bangasser, BLShamsan, GA
Chan, CE
Opoku, KN
Tüzel, E
Schlichtmann, BW
Kasim, JA
Fuller, BJ
McCullough, BR
Rosenfeld, SS
Odde, DJ
Subject
Actin CytoskeletonActins
Algorithms
Animals
Cell Adhesion
Cell Line, Tumor
Cell Movement
Chick Embryo
Collagen
Disease Progression
Elastic Modulus
Glioma
Humans
Integrins
Mice
Models, Biological
Models, Statistical
Myosin Type II
Neurons
Prosencephalon
RNA, Messenger
Permanent link to this record
http://hdl.handle.net/20.500.12613/4896
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10.1038/ncomms15313Abstract
© The Author(s) 2017. Cell migration, which is central to many biological processes including wound healing and cancer progression, is sensitive to environmental stiffness, and many cell types exhibit a stiffness optimum, at which migration is maximal. Here we present a cell migration simulator that predicts a stiffness optimum that can be shifted by altering the number of active molecular motors and clutches. This prediction is verified experimentally by comparing cell traction and F-actin retrograde flow for two cell types with differing amounts of active motors and clutches: embryonic chick forebrain neurons (ECFNs; optimum ∼ 1 kPa) and U251 glioma cells (optimum ∼ 100 kPa). In addition, the model predicts, and experiments confirm, that the stiffness optimum of U251 glioma cell migration, morphology and F-actin retrograde flow rate can be shifted to lower stiffness by simultaneous drug inhibition of myosin II motors and integrin-mediated adhesions.Citation to related work
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http://dx.doi.org/10.34944/dspace/4878