Buchmann Benedikt, Fernández Pablo, Bausch Andreas R
Lehrstuhl für Biophysik E27, Physics Department and Center for Protein Assemblies CPA, Technische Universität München, 85747 Garching, Germany.
Biophys Rev (Melville). 2021 Jun 7;2(2):021401. doi: 10.1063/5.0044653.
Cell-driven plastic remodeling of the extracellular matrix (ECM) is a key regulator driving cell invasion and organoid morphogenesis in 3D. While, mostly, the linear properties are reported, the nonlinear and plastic property of the used matrix is required for these processes to occur. Here, we report on the nonlinear and plastic mechanical properties of networks derived from collagen I, Matrigel, and related hybrid gels and link their mechanical response to the underlying collagen structure. We reveal the predominantly linear behavior of Matrigel over a wide range of strains and contrast this to the highly nonlinear and plastic response of collagen upon mechanical load. We show that the mechanical nonlinear response of collagen can be gradually diminished by enriching the network stepwise with Matrigel. This tunability results from the suppression of collagen polymerization in the presence of Matrigel, resulting in a collagen network structure with significant smaller mesh size and consequent contribution to the mechanical response. Thus, the nonlinear plastic properties and structure of the ECM is not simply the addition of two independent network types but depends on the exact polymerization conditions. The understanding of this interplay is key toward an understanding of the dependencies of cellular interactions with their ECM and sheds light on the nonlinear cell-ECM interaction during organogenesis.
细胞驱动的细胞外基质(ECM)塑性重塑是三维空间中驱动细胞侵袭和类器官形态发生的关键调节因子。虽然大多数情况下报道的是线性特性,但这些过程的发生需要所用基质的非线性和塑性特性。在此,我们报告了源自I型胶原蛋白、基质胶和相关混合凝胶的网络的非线性和塑性力学性能,并将它们的力学响应与潜在的胶原蛋白结构联系起来。我们揭示了基质胶在很宽的应变范围内主要呈线性行为,并将其与机械加载时胶原蛋白的高度非线性和塑性响应进行对比。我们表明,通过用基质胶逐步富集网络,可以逐渐减弱胶原蛋白的力学非线性响应。这种可调性源于在基质胶存在下胶原蛋白聚合的抑制,导致形成具有明显更小网格尺寸的胶原蛋白网络结构,并因此对力学响应有贡献。因此,ECM的非线性塑性特性和结构并非简单地是两种独立网络类型的相加,而是取决于确切的聚合条件。理解这种相互作用是理解细胞与其ECM相互作用依赖性的关键,并为器官发生过程中的非线性细胞-ECM相互作用提供了线索。