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流体动力流下细胞黏附的统计:模拟与实验

Statistics of cell adhesion under hydrodynamic flow: simulation and experiment.

作者信息

Hammer D A, Tempelman L A, Apte S M

机构信息

School of Chemical Engineering, Cornell University, Ithaca, New York.

出版信息

Blood Cells. 1993;19(2):261-75; discussion 275-7.

PMID:8312563
Abstract

Adhesion under hydrodynamic flow is a step in many complicated physiological processes such as the neutrophil-mediated inflammatory response and cancer cell metastasis. We use a combination of computer simulation and experiment to explore how a population of cells interacts with a ligand-coated substrate under shear flow. To simulate the binding of a single cell to a surface, we use a microvilli-hard sphere model in which receptor-ligand bonds are treated as springs, and the net motion of the cell is determined from a force balance involving hydrodynamic, bonding, and colloidal forces. We show that the adhesive phenotype of a cell depends strongly on the fractional spring slippage of receptor-ligand bonds, which relates the extension of a bond to its rate of breakage; a lower spring slippage indicates bonds can withstand a great deal of extension without a significant increase in the breakage rate, and hence leads to more strongly adherent cells. We construct the behavior of a population of cells by simulating many cells using this algorithm. We show that a homogeneous population of cells with identical numbers of receptors, modeled with parameters suitable to recreate neutrophil rolling, will display a distribution of translational velocities. In addition, we calculate the average velocity for a heterogeneous population of cells which has a Gaussian distribution in receptor number. As the standard deviation of this distribution increases, the average observed velocity for the population increases. Although the homogeneous and heterogeneous populations have the same average number of receptors (10(5)) per cell, there is a significant difference in their average velocity when the standard deviation of receptor number in the heterogeneous population is as little as 25% of the average receptor number. We also present experimental evidence that not all cells exhibit the slow rolling characteristic of neutrophil-endothelial interaction, but rather appear to exist in a "binary" state in which cells are either adherent or noninteracting. We have developed an experimental model system for studying adhesion under hydrodynamic flow, using the rat basophilic leukemia (RBL) derivatized polyacrylamide gels in a flow chamber. Cells are injected into a portion of the flow chamber in which the substrate is not coated with antigen, and allowed to flow over the antigen-coated portion of the gel. We have measured the spatial distribution of cell binding for a population of cells at different flow rates, and have shown that cell binding decreases as shear rate increases.(ABSTRACT TRUNCATED AT 400 WORDS)

摘要

流体动力流下的黏附是许多复杂生理过程中的一个步骤,比如中性粒细胞介导的炎症反应和癌细胞转移。我们结合计算机模拟和实验,来探究一群细胞在剪切流作用下如何与配体包被的底物相互作用。为了模拟单个细胞与表面的结合,我们使用了微绒毛-硬球模型,其中受体-配体键被视为弹簧,细胞的净运动由涉及流体动力、键合和胶体作用力的力平衡来确定。我们发现,细胞的黏附表型很大程度上取决于受体-配体键的弹簧滑动分数,该分数将键的伸长与其断裂速率联系起来;较低的弹簧滑动表明键能够承受大量伸长而断裂速率没有显著增加,从而导致细胞黏附更强。我们通过使用该算法模拟许多细胞来构建一群细胞的行为。我们表明,具有相同受体数量、用适合重现中性粒细胞滚动的参数建模的同质细胞群体,将呈现平移速度分布。此外,我们计算了受体数量呈高斯分布的异质细胞群体的平均速度。随着该分布标准差的增加,群体的平均观测速度增加。尽管同质和异质群体每个细胞的平均受体数量相同(10⁵),但当异质群体中受体数量的标准差低至平均受体数量的25%时,它们的平均速度存在显著差异。我们还提供了实验证据,表明并非所有细胞都表现出中性粒细胞-内皮细胞相互作用的缓慢滚动特征,而是似乎存在一种“二元”状态,即细胞要么黏附要么不相互作用。我们开发了一个用于研究流体动力流下黏附的实验模型系统,在流动腔室中使用大鼠嗜碱性白血病(RBL)衍生的聚丙烯酰胺凝胶。将细胞注入流动腔室中底物未包被抗原的部分,然后让其流过凝胶上包被抗原的部分。我们测量了不同流速下一群细胞的细胞结合空间分布,并表明细胞结合随着剪切速率的增加而减少。(摘要截选至400字)

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