Liang Long, Jones Christopher, Chen Shaohua, Sun Bo, Jiao Yang
Department of Physics, Arizona State University, Tempe, AZ, 85287, USA.
Phys Biol. 2016 Oct 25;13(6):066001. doi: 10.1088/1478-3975/13/6/066001.
Collagen networks play an important role in coordinating and regulating collective cellular dynamics via a number of signaling pathways. Here, we investigate the transmission of forces generated by contractile cells in 3D collagen-I networks. Specifically, the graph (bond-node) representations of collagen networks with collagen concentrations of 1, 2 and 4 mg ml are derived from confocal microscopy data and used to model the network microstructure. Cell contraction is modeled by applying correlated displacements at specific nodes of the network, representing the focal adhesion sites. A nonlinear elastic model is employed to characterize the mechanical behavior of individual fiber bundles including strain hardening during stretching and buckling under compression. A force-based relaxation method is employed to obtain equilibrium network configurations under cell contraction. We find that for all collagen concentrations, the majority of the forces are carried by a small number of heterogeneous force chains emitted from the contracting cells, which is qualitatively consistent with our experimental observations. The force chains consist of fiber segments that either possess a high degree of alignment before cell contraction or are aligned due to fiber reorientation induced by cell contraction. The decay of the forces along the force chains is significantly slower than the decay of radially averaged forces in the system, suggesting that the fibreous nature of biopolymer network structure can support long-range force transmission. The force chains emerge even at very small cell contractions, and the number of force chains increases with increasing cell contraction. At large cell contractions, the fibers close to the cell surface are in the nonlinear regime, and the nonlinear region is localized in a small neighborhood of the cell. In addition, the number of force chains increases with increasing collagen concentration, due to the larger number of focal adhesion sites in collagen networks with high concentrations.
胶原蛋白网络通过多种信号通路在协调和调节集体细胞动力学方面发挥着重要作用。在此,我们研究了三维I型胶原蛋白网络中收缩细胞产生的力的传递。具体而言,胶原蛋白浓度为1、2和4mg/ml的胶原蛋白网络的图形(键-节点)表示是从共聚焦显微镜数据中推导出来的,并用于对网络微观结构进行建模。通过在网络的特定节点处应用相关位移来模拟细胞收缩,这些节点代表着粘着斑位点。采用非线性弹性模型来表征单个纤维束的力学行为,包括拉伸过程中的应变硬化和压缩过程中的屈曲。采用基于力的松弛方法来获得细胞收缩下的平衡网络构型。我们发现,对于所有胶原蛋白浓度,大部分力由收缩细胞发出的少数异质力链承载,这在定性上与我们的实验观察结果一致。力链由在细胞收缩前具有高度排列或由于细胞收缩引起的纤维重新定向而排列的纤维段组成。沿着力链的力的衰减明显慢于系统中径向平均力的衰减,这表明生物聚合物网络结构的纤维性质可以支持长程力传递。即使在非常小的细胞收缩情况下也会出现力链,并且力链的数量随着细胞收缩的增加而增加。在大的细胞收缩情况下,靠近细胞表面的纤维处于非线性状态,并且非线性区域局限于细胞的一个小邻域内。此外,由于高浓度胶原蛋白网络中有更多的粘着斑位点,力链的数量随着胶原蛋白浓度的增加而增加。