Literature DB >> 22120116

Mechano-sensing and cell migration: a 3D model approach.

C Borau1, R D Kamm, J M García-Aznar.   

Abstract

Cell migration is essential for tissue development in different physiological and pathological conditions. It is a complex process orchestrated by chemistry, biological factors, microstructure and surrounding mechanical properties. Focusing on the mechanical interactions, cells do not only exert forces on the matrix that surrounds them, but they also sense and react to mechanical cues in a process called mechano-sensing. Here, we hypothesize the involvement of mechano-sensing in the regulation of directional cell migration through a three-dimensional (3D) matrix. For this purpose, we develop a 3D numerical model of individual cell migration, which incorporates the mechano-sensing process of the cell as the main mechanism regulating its movement. Consistent with this hypothesis, we found that factors, such as substrate stiffness, boundary conditions and external forces, regulate specific and distinct cell movements.

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Year:  2011        PMID: 22120116     DOI: 10.1088/1478-3975/8/6/066008

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  21 in total

1.  Modeling the two-way feedback between contractility and matrix realignment reveals a nonlinear mode of cancer cell invasion.

Authors:  Hossein Ahmadzadeh; Marie R Webster; Reeti Behera; Angela M Jimenez Valencia; Denis Wirtz; Ashani T Weeraratna; Vivek B Shenoy
Journal:  Proc Natl Acad Sci U S A       Date:  2017-02-14       Impact factor: 11.205

2.  Comparison of cell migration mechanical strategies in three-dimensional matrices: a computational study.

Authors:  Jie Zhu; Alex Mogilner
Journal:  Interface Focus       Date:  2016-10-06       Impact factor: 3.906

3.  The role of actin protrusion dynamics in cell migration through a degradable viscoelastic extracellular matrix: Insights from a computational model.

Authors:  Tommy Heck; Diego A Vargas; Bart Smeets; Herman Ramon; Paul Van Liedekerke; Hans Van Oosterwyck
Journal:  PLoS Comput Biol       Date:  2020-01-13       Impact factor: 4.475

4.  A mechanical toy model linking cell-substrate adhesion to multiple cellular migratory responses.

Authors:  Masatomo Iwasa
Journal:  J Biol Phys       Date:  2019-12-13       Impact factor: 1.365

5.  Computational modeling of three-dimensional ECM-rigidity sensing to guide directed cell migration.

Authors:  Min-Cheol Kim; Yaron R Silberberg; Rohan Abeyaratne; Roger D Kamm; H Harry Asada
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-02       Impact factor: 11.205

6.  CompuCell3D Simulations Reproduce Mesenchymal Cell Migration on Flat Substrates.

Authors:  Ismael Fortuna; Gabriel C Perrone; Monique S Krug; Eduarda Susin; Julio M Belmonte; Gilberto L Thomas; James A Glazier; Rita M C de Almeida
Journal:  Biophys J       Date:  2020-04-30       Impact factor: 4.033

Review 7.  Mathematical modeling of eukaryotic cell migration: insights beyond experiments.

Authors:  Gaudenz Danuser; Jun Allard; Alex Mogilner
Journal:  Annu Rev Cell Dev Biol       Date:  2013-07-24       Impact factor: 13.827

8.  Effects of 3D geometries on cellular gradient sensing and polarization.

Authors:  Fabian Spill; Vivi Andasari; Michael Mak; Roger D Kamm; Muhammad H Zaman
Journal:  Phys Biol       Date:  2016-06-25       Impact factor: 2.583

9.  Combinative in vitro studies and computational model to predict 3D cell migration response to drug insult.

Authors:  Joseph S Maffei; Jaya Srivastava; Brian Fallica; Muhammad H Zaman
Journal:  Integr Biol (Camb)       Date:  2014-10       Impact factor: 2.192

Review 10.  Microengineered tumor models: insights & opportunities from a physical sciences-oncology perspective.

Authors:  Peter DelNero; Young Hye Song; Claudia Fischbach
Journal:  Biomed Microdevices       Date:  2013-08       Impact factor: 2.838

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