Unknown

Dataset Information

0

Nonlinear mechanics of hybrid polymer networks that mimic the complex mechanical environment of cells.


ABSTRACT: The mechanical properties of cells and the extracellular environment they reside in are governed by a complex interplay of biopolymers. These biopolymers, which possess a wide range of stiffnesses, self-assemble into fibrous composite networks such as the cytoskeleton and extracellular matrix. They interact with each other both physically and chemically to create a highly responsive and adaptive mechanical environment that stiffens when stressed or strained. Here we show that hybrid networks of a synthetic mimic of biological networks and either stiff, flexible and semi-flexible components, even very low concentrations of these added components, strongly affect the network stiffness and/or its strain-responsive character. The stiffness (persistence length) of the second network, its concentration and the interaction between the components are all parameters that can be used to tune the mechanics of the hybrids. The equivalence of these hybrids with biological composites is striking.

SUBMITTER: Jaspers M 

PROVIDER: S-EPMC5458517 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Nonlinear mechanics of hybrid polymer networks that mimic the complex mechanical environment of cells.

Jaspers Maarten M   Vaessen Sarah L SL   van Schayik Pim P   Voerman Dion D   Rowan Alan E AE   Kouwer Paul H J PHJ  

Nature communications 20170525


The mechanical properties of cells and the extracellular environment they reside in are governed by a complex interplay of biopolymers. These biopolymers, which possess a wide range of stiffnesses, self-assemble into fibrous composite networks such as the cytoskeleton and extracellular matrix. They interact with each other both physically and chemically to create a highly responsive and adaptive mechanical environment that stiffens when stressed or strained. Here we show that hybrid networks of  ...[more]

Similar Datasets

| S-EPMC4130247 | biostudies-literature
| S-EPMC4104543 | biostudies-literature
| S-EPMC6824477 | biostudies-literature
| S-EPMC7286550 | biostudies-literature
| S-EPMC5514702 | biostudies-literature
| S-EPMC5383813 | biostudies-literature
| S-EPMC6403851 | biostudies-literature
| S-EPMC2989730 | biostudies-literature
| S-EPMC5455488 | biostudies-other
| S-EPMC7519106 | biostudies-literature