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- W3100472128 abstract "The cells and tissues that make up our body manage contradictory mechanical demands. It is crucial for their survival to be able to withstand large mechanical loads, but it is equally crucial for them to produce forces and actively change shape during biological processes such as tissue growth and repair. The mechanics of cells and tissues is determined by scaffolds of protein polymers known as the cytoskeleton and the extracellular matrix, respectively. Experiments on model systems reconstituted from purified components combined with polymer physics concepts have already uncovered some of the mechanisms that underlie the paradoxical mechanics of living matter. Initial work focused on explaining universal features, such as the nonlinear elasticity of cells and tissues, in terms of polymer network models. However, there is a growing recognition that living matter exhibits many advanced mechanical functionalities that are not captured by these coarse-grained theories. Here, we review recent experimental and theoretical insights that reveal how the porous structure, structural hierarchy, transient crosslinking and mechanochemical activity of biopolymers confer resilience combined with the ability to adapt and self-heal. These physical concepts increase our understanding of cell and tissue biology and provide inspiration for advanced synthetic materials. Biopolymer networks provide mechanical integrity and enable active deformation of cells and tissues. Here, we review recent experimental and theoretical studies of the mechanical behaviour of biopolymer networks with a focus on reductionist approaches." @default.
- W3100472128 created "2020-11-23" @default.
- W3100472128 creator A5006339468 @default.
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- W3100472128 creator A5046993858 @default.
- W3100472128 creator A5061488818 @default.
- W3100472128 creator A5083550174 @default.
- W3100472128 date "2019-03-18" @default.
- W3100472128 modified "2023-10-05" @default.
- W3100472128 title "From mechanical resilience to active material properties in biopolymer networks" @default.
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