Literature DB >> 23720059

Finite element analysis of traction force microscopy: influence of cell mechanics, adhesion, and morphology.

Rachel Zielinski1, Cosmin Mihai, Douglas Kniss, Samir N Ghadiali.   

Abstract

The interactions between adherent cells and their extracellular matrix (ECM) have been shown to play an important role in many biological processes, such as wound healing, morphogenesis, differentiation, and cell migration. Cells attach to the ECM at focal adhesion sites and transmit contractile forces to the substrate via cytoskeletal actin stress fibers. This contraction results in traction stresses within the substrate/ECM. Traction force microscopy (TFM) is an experimental technique used to quantify the contractile forces generated by adherent cells. In TFM, cells are seeded on a flexible substrate and displacements of the substrate caused by cell contraction are tracked and converted to a traction stress field. The magnitude of these traction stresses are normally used as a surrogate measure of internal cell contractile force or contractility. We hypothesize that in addition to contractile force, other biomechanical properties including cell stiffness, adhesion energy density, and cell morphology may affect the traction stresses measured by TFM. In this study, we developed finite element models of the 2D and 3D TFM techniques to investigate how changes in several biomechanical properties alter the traction stresses measured by TFM. We independently varied cell stiffness, cell-ECM adhesion energy density, cell aspect ratio, and contractility and performed a sensitivity analysis to determine which parameters significantly contribute to the measured maximum traction stress and net contractile moment. Results suggest that changes in cell stiffness and adhesion energy density can significantly alter measured tractions, independent of contractility. Based on a sensitivity analysis, we developed a correction factor to account for changes in cell stiffness and adhesion and successfully applied this correction factor algorithm to experimental TFM measurements in invasive and noninvasive cancer cells. Therefore, application of these types of corrections to TFM measurements can yield more accurate estimates of cell contractility.

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Year:  2013        PMID: 23720059      PMCID: PMC3705880          DOI: 10.1115/1.4024467

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  38 in total

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Authors:  Cosmin Mihai; Shengying Bao; Ju-Ping Lai; Samir N Ghadiali; Daren L Knoell
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3.  Determining substrate displacement and cell traction fields--a new approach.

Authors:  Zhaochun Yang; Jeen-Shang Lin; Jianxin Chen; James H-C Wang
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4.  Neutrophil traction stresses are concentrated in the uropod during migration.

Authors:  Lee A Smith; Helim Aranda-Espinoza; Jered B Haun; Micah Dembo; Daniel A Hammer
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Review 5.  Cell mechanics: integrating cell responses to mechanical stimuli.

Authors:  Paul A Janmey; Christopher A McCulloch
Journal:  Annu Rev Biomed Eng       Date:  2007       Impact factor: 9.590

6.  Neutrophil adhesion and chemotaxis depend on substrate mechanics.

Authors:  Risat A Jannat; Gregory P Robbins; Brendon G Ricart; Micah Dembo; Daniel A Hammer
Journal:  J Phys Condens Matter       Date:  2010-05-19       Impact factor: 2.333

7.  An in vitro correlation of mechanical forces and metastatic capacity.

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8.  Live Cells Exert 3-Dimensional Traction Forces on Their Substrata.

Authors:  Sung Sik Hur; Yihua Zhao; Yi-Shuan Li; Elliot Botvinick; Shu Chien
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9.  Image-based finite element modeling of alveolar epithelial cell injury during airway reopening.

Authors:  H L Dailey; L M Ricles; H C Yalcin; S N Ghadiali
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Review 10.  The forces behind cell movement.

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Journal:  Int J Biol Sci       Date:  2007-06-01       Impact factor: 6.580

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  14 in total

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Authors:  Patricia E McCallinhart; Youjin Cho; Zhe Sun; Samir Ghadiali; Gerald A Meininger; Aaron J Trask
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2.  Multiscale mechanical simulations of cell compacted collagen gels.

Authors:  Maziar Aghvami; V H Barocas; E A Sander
Journal:  J Biomech Eng       Date:  2013-07-01       Impact factor: 2.097

3.  Dynamic cellular finite-element method for modelling large-scale cell migration and proliferation under the control of mechanical and biochemical cues: a study of re-epithelialization.

Authors:  Jieling Zhao; Youfang Cao; Luisa A DiPietro; Jie Liang
Journal:  J R Soc Interface       Date:  2017-04       Impact factor: 4.118

4.  Computational analysis of microbubble flows in bifurcating airways: role of gravity, inertia, and surface tension.

Authors:  Xiaodong Chen; Rachel Zielinski; Samir N Ghadiali
Journal:  J Biomech Eng       Date:  2014-10       Impact factor: 2.097

5.  Fiber Network Models Predict Enhanced Cell Mechanosensing on Fibrous Gels.

Authors:  Maziar Aghvami; Kristen L Billiar; Edward A Sander
Journal:  J Biomech Eng       Date:  2016-10-01       Impact factor: 2.097

6.  Cell-substrate mechanics guide collective cell migration through intercellular adhesion: a dynamic finite element cellular model.

Authors:  Jieling Zhao; Farid Manuchehrfar; Jie Liang
Journal:  Biomech Model Mechanobiol       Date:  2020-02-27

7.  Cytoskeletal Mechanics Regulating Amoeboid Cell Locomotion.

Authors:  Begoña Alvarez-González; Ruedi Meili; Richard Firtel; Effie Bastounis; Juan C Del Álamo; Juan C Lasheras
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8.  Stable, covalent attachment of laminin to microposts improves the contractility of mouse neonatal cardiomyocytes.

Authors:  Alexandre J S Ribeiro; Kathia Zaleta-Rivera; Euan A Ashley; Beth L Pruitt
Journal:  ACS Appl Mater Interfaces       Date:  2014-08-26       Impact factor: 9.229

Review 9.  Biophysical Tools to Study Cellular Mechanotransduction.

Authors:  Ismaeel Muhamed; Farhan Chowdhury; Venkat Maruthamuthu
Journal:  Bioengineering (Basel)       Date:  2017-02-07

10.  Loss of myoferlin redirects breast cancer cell motility towards collective migration.

Authors:  Leonithas I Volakis; Ruth Li; William E Ackerman; Cosmin Mihai; Meagan Bechel; Taryn L Summerfield; Christopher S Ahn; Heather M Powell; Rachel Zielinski; Thomas J Rosol; Samir N Ghadiali; Douglas A Kniss
Journal:  PLoS One       Date:  2014-02-26       Impact factor: 3.240

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