Department of Physics, The University of Tehran, Tehran 14395-547, Iran.
Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California 90089-1211, USA.
Phys Rev E. 2019 Jun;99(6-1):062414. doi: 10.1103/PhysRevE.99.062414.
Collagen fibers, an important component of the extracellular matrix (ECM), can both inhibit and promote cellular migration. In vitro studies have revealed that the fibers' orientations are crucial to cellular invasion, while in vivo investigations have led to the development of tumor-associated collagen signatures (TACS) as an important prognostic factor. Studying biophysical regulation of cell invasion and the effect of the fibers' orientation not only deepens our understanding of the phenomenon, but also helps classify the TACSs precisely, which is currently lacking. We present a stochastic model for random or chemotactic migration of cells in fibrous ECM, and study the role of the various factors in it. The model provides a framework for quantitative classification of the TACSs, and reproduces quantitatively recent experimental data for cell motility. It also indicates that the spatial distribution of the fibers' orientations and extended correlations between them, hitherto ignored, as well as dynamics of cellular motion all contribute to regulation of the cells' invasion length, which represents a measure of metastatic risk. Although the fibers' orientations trivially affect randomly moving cells, their effect on chemotactic cells is completely nontrivial and unexplored, which we study in this paper.
胶原纤维是细胞外基质(ECM)的重要组成部分,既可以抑制细胞迁移,也可以促进细胞迁移。体外研究表明,纤维的取向对细胞侵袭至关重要,而体内研究则导致了肿瘤相关胶原特征(TACS)作为一个重要的预后因素的发展。研究细胞侵袭的生物物理调控以及纤维取向的影响不仅加深了我们对这一现象的理解,还有助于对 TACS 进行精确分类,而目前这方面还存在不足。我们提出了一个随机或趋化性细胞在纤维 ECM 中迁移的随机模型,并研究了其中各种因素的作用。该模型为定量分类 TACS 提供了一个框架,并定量再现了最近关于细胞迁移的实验数据。它还表明,纤维取向的空间分布及其之间的扩展相关性,以及细胞运动的动力学,都有助于调节细胞的侵袭长度,这是衡量转移风险的一个指标。尽管纤维的取向对随机移动的细胞有明显的影响,但它们对趋化性细胞的影响是完全非平凡的,而且尚未被研究,我们在本文中对此进行了研究。