MEASUREMENT OF INDIVIDUAL CELL-MIGRATION PARAMETERS FOR HUMAN TISSUE-CELLS

MEASUREMENT OF INDIVIDUAL CELL-MIGRATION PARAMETERS FOR HUMAN TISSUE-CELLS
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DOI:
10.1002/aic.690380712
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发表时间:
1992-07-01
期刊:
影响因子:
3.7
通讯作者:
LAUFFENBURGER, DA
LAUFFENBURGER, DA
中科院分区:
工程技术3区
文献类型:
--
作者:
DIMILLA, PA;QUINN, JA;LAUFFENBURGER, DA

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我们提出了一种方法,用于确定在体外的一组现象学参数,包括细胞的速度和持续时间,它可以用来评估各向同性的效果的平均值和分布。细胞外环境的变化对人体组织细胞运动的影响。使用延时视频显微镜和半自动图像分析,我们跟踪了缓慢移动的,分离的人血管平滑肌细胞在48小时内在涂有10 μ g/mL的粘附性细胞外基质蛋白IV型胶原蛋白,纤连蛋白或层粘连蛋白的培养皿表面上行进的路径。通过应用一个持久的随机游走模型的实验数据的均方位移作为时间的函数,这些细胞,我们严格区分个别细胞与不同的运动特性不明显的基础上,定性比较的结构之间的个别细胞路径。我们还确定了不动细胞的存在。根据每个基质上34至77个细胞的行为,我们发现所有三种ECM基质上的平均细胞速度和持续时间分别为10微米/小时和3小时左右,而运动细胞的比例从层粘连蛋白的65%到胶原蛋白的78%。在所有三个表面上,速度和持续时间的实验数量分布可以分别用正态和指数等待时间分布来描述。我们的方法提供了一个框架,解决有关细胞和环境特性和细胞运动之间的机械关系的问题。
We present an approach for determining in vitro the means and distributions of a set of phenomenological parameters, including cell speed and persistence time, which can be used to evaluate the effect of isotropic. variations in the extracellular environment on the motility of human tissue cells. Using time-lapse videomicroscopy and semi-automated image analysis, we tracked the paths traveled by slow-moving, isolated human vascular smooth muscle cells over 48 hours on surfaces of petri dishes coated with 10-mu-g/mL of the adhesive extracellular matrix proteins type IV collagen, fibronectin or laminin. By applying a persistent random walk model to experimental data for mean-squared displacement as a function of time for these cells, we rigorously distinguished individual cells with different motile characteristics not obvious based on qualitative comparisons between the structures of individual cell paths. We also positively identified the presence of immotile cells. Based on the behavior of 34 to 77 cells on each substrate, we found mean cell speeds and persistence times on the order of 10 micron/h and 3 hours, respectively, on all three ECM substrates, while the fraction of motile cells varied from 65% on laminin to 78% on collagen. On all three surfaces experimental number distributions of speed and persistence time could be described by normal and exponential waiting time distributions, respectively. Our approach provides a framework for addressing questions concerning the mechanistic relationship between cellular and environmental properties and cell motility.