Sarvestani Alireza S, Jabbari Esmaiel
Biomimetic Materials and Tissue Engineering Laboratories, Department of Chemical Engineering, University of South Carolina, Columbia, South Carolina 29208, USA.
Biotechnol Bioeng. 2009 Jun 1;103(2):424-9. doi: 10.1002/bit.22273.
Directional cell motility plays a key role in many biological processes like morphogenesis, inflammation, wound repair, angiogenesis, immune response, and tumor metastasis. Cells respond to the gradient in surface ligand density by directed locomotion towards the direction of higher ligand density. Theoretical models which address the physical basis underlying the regulatory effect of ligand gradient on cell motility are highly desirable. Predictive models not only contribute to a better understanding of biological processes, but they also provide a quantitative interconnection between cell motility and biophysical properties of the extracellular matrix (ECM) for rational design of biomaterials as scaffolds in tissue engineering. In this work, we consider a one-dimensional (1D) continuum viscoelastic model to predict the cell velocity in response to linearly increasing density of surface ligands on a substrate. The cell is considered as a 1D linear viscoelastic object with position dependent elasticity due to the variation in actin network density. The cell-substrate interaction is characterized by a frictional force, controlled by the density of ligand-receptor pairs. The generation of contractile stresses is described in terms of kinetic equations for the reactions between actins, myosins, and guanine nucleotide regulatory proteins. The model predictions show a reasonable agreement with experimentally measured cell speeds, considering biologically relevant values for the model parameters. The model predicts a biphasic relationship between cell speed and slope of gradient as well as a maximum limiting speed after a finite migration time. For a given slope of ligand gradient, the onset of the limiting speed appears at longer times for substrates with lower ligand gradients. The model can be applied to the design of biomaterials as scaffolds for guided tissue regeneration as it predicts an optimum range for the slope of ligand gradient.
定向细胞运动在许多生物过程中起着关键作用,如形态发生、炎症、伤口修复、血管生成、免疫反应和肿瘤转移。细胞通过向更高配体密度的方向定向移动来响应表面配体密度的梯度。非常需要能够解释配体梯度对细胞运动调节作用背后物理基础的理论模型。预测模型不仅有助于更好地理解生物过程,还能在细胞运动与细胞外基质(ECM)的生物物理特性之间提供定量联系,以便合理设计作为组织工程支架的生物材料。在这项工作中,我们考虑一个一维(1D)连续粘弹性模型,以预测细胞对底物上表面配体密度线性增加的响应速度。由于肌动蛋白网络密度的变化,细胞被视为一个具有位置依赖性弹性的一维线性粘弹性物体。细胞与底物的相互作用由摩擦力表征,该摩擦力由配体 - 受体对的密度控制。收缩应力的产生通过肌动蛋白、肌球蛋白和鸟嘌呤核苷酸调节蛋白之间反应的动力学方程来描述。考虑到模型参数的生物学相关值,模型预测与实验测量的细胞速度显示出合理的一致性。该模型预测了细胞速度与梯度斜率之间的双相关系以及有限迁移时间后的最大极限速度。对于给定的配体梯度斜率,较低配体梯度的底物在更长时间出现极限速度的起始点。该模型可应用于设计作为引导组织再生支架的生物材料,因为它预测了配体梯度斜率的最佳范围。