Tools for analyzing cell shape changes during chemotaxis.
Tools for analyzing cell shape changes during chemotaxis.
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DOI：
10.1039/c0ib00036a
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发表时间：
2010-11
期刊：
影响因子：
--
通讯作者：
Iglesias PA
中科院分区：
文献类型：
--
作者：
Xiong Y;Iglesias PA
趋化性是指细胞感知外部化学梯度方向并向源迁移的能力。要彻底了解变形虫和中性粒细胞的趋化反应，需要仔细量化在细胞运动过程中观察到的细胞形状变化。这种反应的随机性质要求细胞形态的统计特征，这需要处理大数据集。由于这个原因，自动图像分析算法是非常可取的，并且越来越可用。这些通常包括从图像分割，形态变换，以及数值算法和物理模型的结合技术的组合。在这里，我们回顾了最近在追踪和理解运动趋化细胞方面的进展，特别强调了趋化盘基骨细胞中假足活性的描述。
Chemotaxis refers to the ability of cells to sense the direction of external chemical gradients and respond by migrating towards the source. A thorough understanding of the chemotactic response of amoebae and neutrophils requires careful quantification of the cell shape changes observed during cell movement. The stochastic nature of this response calls for a statistical characterization of cellular morphology and this requires the processing of large data sets. For this reason, automatic image analysis algorithms are highly desirable and are becoming increasingly available. These usually include a combination of techniques from image segmentation, morphological transformations, as well as the incorporation of numerical algorithms and physical models. Here we review recent developments in the tracking and understanding of motile chemotaxing cells, with a particular emphasis on the description of pseudopodial activity in chemotactic Dictyostelium cells.