Partin A W, Schoeniger J S, Mohler J L, Coffey D S
Oncology Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205.
Proc Natl Acad Sci U S A. 1989 Feb;86(4):1254-8. doi: 10.1073/pnas.86.4.1254.
We report the development of a computerized, mathematical system for quantitating the various types of cell motility. This Fourier analysis method simultaneously quantifies for individual cells (i) temporal changes in cell shape represented by cell ruffling, undulation, and pseudopodal extension, (ii) cell translation, and (iii) average cell size and shape. This spatial-temporal Fourier analysis was tested on a series of well-characterized animal tumor cell lines of rat prostatic cancer to study in a quantitative manner the correlation of cell motility with increasing in vivo metastatic potential. Fourier motility coefficients measuring pseudopodal extension correlated best with metastatic potential in the cell lines studied. This study demonstrated that Fourier analysis provides quantitative measurement of cell motility that may be applied to the study of biological processes. This analysis should aid in the study of the motility of individual cells in various areas of cellular and tumor biology.
我们报告了一种用于量化各种类型细胞运动性的计算机化数学系统的开发。这种傅里叶分析方法可同时对单个细胞进行以下量化：(i) 由细胞边缘波动、起伏和伪足延伸所代表的细胞形状的时间变化，(ii) 细胞平移，以及(iii) 平均细胞大小和形状。我们在一系列特征明确的大鼠前列腺癌动物肿瘤细胞系上测试了这种时空傅里叶分析，以便以定量方式研究细胞运动性与体内转移潜能增加之间的相关性。在所研究的细胞系中，测量伪足延伸的傅里叶运动系数与转移潜能的相关性最佳。这项研究表明，傅里叶分析提供了可应用于生物过程研究的细胞运动性定量测量。这种分析应有助于研究细胞生物学和肿瘤生物学各个领域中单个细胞的运动性。
