Micro- and Macrorheological Properties of Isotropically Cross-linked Actin Networks

TL;DR

This study investigates how varying concentrations of the cross-linker HMM affect the mechanical properties of actin networks, revealing a transition from entanglement-dominated to cross-linker distance-dominated elasticity, with micro- and macrorheology showing consistent results.

Contribution

It demonstrates that a single intrinsic parameter, the cross-linker distance, governs the mechanical transition in isotropically cross-linked actin networks.

Findings

Transition from entanglement to cross-linker dominated elasticity.

Micro- and macrorheology show consistent transition behavior.

Heterogeneous networks at low cross-linker concentrations.

Abstract

Cells make use of semi-flexible biopolymers such as actin or intermediate filaments to control their local viscoelastic response by dynamically adjusting the concentration and type of cross-linker molecules. The microstructure of the resulting networks mainly determines their mechanical properties. It remains an important challenge to relate structural transitions to both the molecular properties of the cross-linking molecules and the mechanical response of the network. This can be achieved best by well-defined in vitro model systems in combination with microscopic techniques. Here, we show that with increasing concentrations of the cross-linker HMM (heavy meromyosin) a transition in the mechanical network response occurs. At low cross-linker densities the network elasticity is dominated by the entanglement length of the polymer, while at high HMM densities the cross-linker distance determines the elastic behavior. Using microrheology the formation of heterogeneous networks is observed at low cross-linker concentrations. Micro- and macrorheology both report the same transition to a homogeneous cross-linked phase. This transition is set by a constant average cross-linker distance. Thus, the micro- and macromechanical properties of isotropically cross-linked in vitro actin networks are determined by only one intrinsic network parameter.