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Stress-induced plasticity of dynamic collagen networks

Overview of attention for article published in Nature Communications, October 2017
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Title
Stress-induced plasticity of dynamic collagen networks
Published in
Nature Communications, October 2017
DOI 10.1038/s41467-017-01011-7
Pubmed ID
Authors

Jihan Kim, Jingchen Feng, Christopher A. R. Jones, Xiaoming Mao, Leonard M. Sander, Herbert Levine, Bo Sun

Abstract

The structure and mechanics of tissues is constantly perturbed by endogenous forces originated from cells, and at the same time regulate many important cellular functions such as migration, differentiation, and growth. Here we show that 3D collagen gels, major components of connective tissues and extracellular matrix (ECM), are significantly and irreversibly remodeled by cellular traction forces, as well as by macroscopic strains. To understand this ECM plasticity, we develop a computational model that takes into account the sliding and merging of ECM fibers. We have confirmed the model predictions with experiment. Our results suggest the profound impacts of cellular traction forces on their host ECM during development and cancer progression, and suggest indirect mechanical channels of cell-cell communications in 3D fibrous matrices.The structure and mechanics of tissues is constantly perturbed by endogenous forces originated from cells. Here the authors show that 3D collagen gels, major components of connective tissues and extracellular matrix, are significantly and irreversibly remodelled by cellular traction forces and by macroscopic strains.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Student > Master 4 11%
Professor 2 5%
Student > Postgraduate 2 5%
Researcher 2 5%
Other 5 13%
Unknown 14 37%
Readers by discipline Count As %
Engineering 7 18%
Physics and Astronomy 4 11%
Materials Science 4 11%
Unspecified 3 8%
Chemistry 3 8%
Other 3 8%
Unknown 14 37%