Literature DB >> 23823219

Nonlinear strain stiffening is not sufficient to explain how far cells can feel on fibrous protein gels.

Mathilda S Rudnicki1, Heather A Cirka, Maziar Aghvami, Edward A Sander, Qi Wen, Kristen L Billiar.   

Abstract

Recent observations suggest that cells on fibrous extracellular matrix materials sense mechanical signals over much larger distances than they do on linearly elastic synthetic materials. In this work, we systematically investigate the distance fibroblasts can sense a rigid boundary through fibrous gels by quantifying the spread areas of human lung fibroblasts and 3T3 fibroblasts cultured on sloped collagen and fibrin gels. The cell areas gradually decrease as gel thickness increases from 0 to 150 μm, with characteristic sensing distances of >65 μm below fibrin and collagen gels, and spreading affected on gels as thick as 150 μm. These results demonstrate that fibroblasts sense deeper into collagen and fibrin gels than they do into polyacrylamide gels, with the latter exhibiting characteristic sensing distances of <5 μm. We apply finite-element analysis to explore the role of strain stiffening, a characteristic mechanical property of collagen and fibrin that is not observed in polyacrylamide, in facilitating mechanosensing over long distances. Our analysis shows that the effective stiffness of both linear and nonlinear materials sharply increases once the thickness is reduced below 5 μm, with only a slight enhancement in sensitivity to depth for the nonlinear material at very low thickness and high applied traction. Multiscale simulations with a simplified geometry predict changes in fiber alignment deep into the gel and a large increase in effective stiffness with a decrease in substrate thickness that is not predicted by nonlinear elasticity. These results suggest that the observed cell-spreading response to gel thickness is not explained by the nonlinear strain-stiffening behavior of the material alone and is likely due to the fibrous nature of the proteins.
Copyright © 2013 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23823219      PMCID: PMC3699756          DOI: 10.1016/j.bpj.2013.05.032

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  32 in total

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Review 6.  Mechanobiology in the third dimension.

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8.  Connective tissue morphogenesis by fibroblast traction. I. Tissue culture observations.

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  32 in total

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2.  Microbuckling of fibrin provides a mechanism for cell mechanosensing.

Authors:  Jacob Notbohm; Ayelet Lesman; Phoebus Rosakis; David A Tirrell; Guruswami Ravichandran
Journal:  J R Soc Interface       Date:  2015-07-06       Impact factor: 4.118

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Authors:  Conleth A Mullen; Ted J Vaughan; Kristen L Billiar; Laoise M McNamara
Journal:  Biophys J       Date:  2015-04-07       Impact factor: 4.033

4.  Long-range force transmission in fibrous matrices enabled by tension-driven alignment of fibers.

Authors:  Hailong Wang; A S Abhilash; Christopher S Chen; Rebecca G Wells; Vivek B Shenoy
Journal:  Biophys J       Date:  2014-12-02       Impact factor: 4.033

5.  Remodeling of fibrous extracellular matrices by contractile cells: predictions from discrete fiber network simulations.

Authors:  A S Abhilash; Brendon M Baker; Britta Trappmann; Christopher S Chen; Vivek B Shenoy
Journal:  Biophys J       Date:  2014-10-21       Impact factor: 4.033

6.  Inelastic behaviour of collagen networks in cell-matrix interactions and mechanosensation.

Authors:  Hamid Mohammadi; Pamma D Arora; Craig A Simmons; Paul A Janmey; Christopher A McCulloch
Journal:  J R Soc Interface       Date:  2015-01-06       Impact factor: 4.118

7.  Fibrous nonlinear elasticity enables positive mechanical feedback between cells and ECMs.

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Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-21       Impact factor: 11.205

8.  Nonlinear Elasticity of the ECM Fibers Facilitates Efficient Intercellular Communication.

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Journal:  Biophys J       Date:  2018-08-15       Impact factor: 4.033

9.  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

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