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首页> 外文期刊>Cell motility and the cytoskeleton >Simultaneous quantification of cell motility and protein-membrane-association using active contours.
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Simultaneous quantification of cell motility and protein-membrane-association using active contours.

机译：用活性轮廓同时定量细胞运动和蛋白质膜关联的。

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摘要

We present a new method for the quantification of dynamic changes in fluorescence intensities at the cell membrane of moving cells. It is based on an active contour method for cell-edge detection, which allows tracking of changes in cell shape and position. Fluorescence intensities at specific cortical subregions can be followed in space and time and correlated with cell motility. The translocation of two GFP tagged proteins (CRAC and GRP1) from the cytosol to the membrane in response to stimulation with the chemoattractant cAMP during chemotaxis of Dictyostelium cells and studies of the spatio-temporal dynamics of this process exemplify the method: We show that the translocation can be correlated with motility parameters and that quantitative differences in the rate of association and dissociation from the membrane can be observed for the two PH domain containing proteins. The analysis of periodic CRAC translocation to the leading edge of a cell responding to natural cAMP waves in a mound demonstrates the power of this approach. It is not only capable of tracking the outline of cells within aggregates in front of a noisy background, but furthermore allows the construction of spatio-temporal polar plots, capturing the dynamics of the protein distribution at the cell membrane within the cells' moving co-ordinate system. Compilation of data by means of normalised polar plots is suggested as a future tool, which promises the so-far impossible practicability of extensive statistical studies and automated comparison of complex spatio-temporal protein distribution patterns. Cell Motil. Cytoskeleton 52:221-230, 2002.
机译：我们提出了一种新方法，用于定量移动电池细胞膜荧光强度的动态变化。它基于用于细胞边缘检测的主动轮廓方法，其允许跟踪单元格形和位置的变化。在空间和时间下可以遵循特定皮质亚区的荧光强度并与细胞运动相关。将来自细胞溶胶的两种GFP标记蛋白（CRAC和GRP1）的易位从脑富氏杆菌细胞的趋化工中与培养型阵营的刺激进行刺激，以及该过程的时空动态的研究举例说明了方法：我们表明了易位可以与运动参数相关，并且可以观察到含有蛋白质的两种pH结构域的关联率和与膜解离的定量差异。对土墩中的自然阵营波的电池前缘的周期CRAC易位分析表明了这种方法的力量。它不仅能够在嘈杂的背景前跟踪聚集体内的细胞概要，但还允许构建时空极性沉积地块，捕获细胞膜中蛋白质分布的动力学在电池中移动的共同纵坐标系统。通过归一化极化地块的数据汇编是作为未来工具的，这承诺了广泛的统计研究的远远不可能的实际性，以及复杂的时空蛋白分布模式的自动比较。细胞运动。细胞骨架52：221-230，2002。

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