Behr Julie, Gaskin Byron, Fu Changliang, Dong Cheng, Kunz Robert
Department of Biomedical Engineering, Pennsylvania State University, University Park, Pennsylvania, United States of America; Applied Research Laboratory, Pennsylvania State University, University Park, Pennsylvania, United States of America.
Department of Biomedical Engineering, Pennsylvania State University, University Park, Pennsylvania, United States of America.
PLoS One. 2015 Sep 14;10(9):e0136926. doi: 10.1371/journal.pone.0136926. eCollection 2015.
This work focuses on one component of a larger research effort to develop a simulation tool to model populations of flowing cells. Specifically, in this study a local model of the biochemical interactions between circulating melanoma tumor cells (TC) and substrate adherent polymorphonuclear neutrophils (PMN) is developed. This model provides realistic three-dimensional distributions of bond formation and attendant attraction and repulsion forces that are consistent with the time dependent Computational Fluid Dynamics (CFD) framework of the full system model which accounts local pressure, shear and repulsion forces. The resulting full dynamics model enables exploration of TC adhesion to adherent PMNs, which is a known participating mechanism in melanoma cell metastasis. The model defines the adhesion molecules present on the TC and PMN cell surfaces, and calculates their interactions as the melanoma cell flows past the PMN. Biochemical rates of reactions between individual molecules are determined based on their local properties. The melanoma cell in the model expresses ICAM-1 molecules on its surface, and the PMN expresses the β-2 integrins LFA-1 and Mac-1. In this work the PMN is fixed to the substrate and is assumed fully rigid and of a prescribed shear-rate dependent shape obtained from micro-PIV experiments. The melanoma cell is transported with full six-degrees-of-freedom dynamics. Adhesion models, which represent the ability of molecules to bond and adhere the cells to each other, and repulsion models, which represent the various physical mechanisms of cellular repulsion, are incorporated with the CFD solver. All models are general enough to allow for future extensions, including arbitrary adhesion molecule types, and the ability to redefine the values of parameters to represent various cell types. The model presented in this study will be part of a clinical tool for development of personalized medical treatment programs.
这项工作聚焦于一项更大规模研究工作的一个组成部分,该研究旨在开发一种模拟工具来对流动细胞群体进行建模。具体而言,在本研究中,开发了一个关于循环黑色素瘤肿瘤细胞(TC)与底物黏附的多形核中性粒细胞(PMN)之间生化相互作用的局部模型。该模型提供了键形成以及伴随的吸引力和排斥力的逼真三维分布,这些分布与全系统模型的时间相关计算流体动力学(CFD)框架一致,全系统模型考虑了局部压力、剪切力和排斥力。由此产生的全动力学模型能够探索TC与黏附的PMN的黏附情况,这是黑色素瘤细胞转移中一种已知的参与机制。该模型定义了TC和PMN细胞表面存在的黏附分子,并计算黑色素瘤细胞流过PMN时它们之间的相互作用。单个分子之间反应的生化速率根据其局部特性来确定。模型中的黑色素瘤细胞在其表面表达细胞间黏附分子-1(ICAM-1)分子,PMN表达β-2整合素淋巴细胞功能相关抗原-1(LFA-1)和巨噬细胞-1抗原(Mac-1)。在这项工作中,PMN固定在底物上,并假定其完全刚性且具有从微观粒子图像测速(micro-PIV)实验获得的与剪切速率相关的规定形状。黑色素瘤细胞以完整的六自由度动力学进行传输。代表分子相互结合并使细胞彼此黏附能力的黏附模型以及代表细胞排斥各种物理机制的排斥模型与CFD求解器相结合。所有模型都具有足够的通用性,以便未来进行扩展,包括任意类型的黏附分子,以及重新定义参数值以代表各种细胞类型的能力。本研究中提出的模型将成为开发个性化医疗治疗方案临床工具的一部分。