基于p值分布检测迁移细胞间的长程吸引
Detecting long-range attraction between migrating cells based on p-value distributions
摘要：
免疫细胞已经进化到识别和消除病原体，这一过程的效率可以在培养皿中测量。然而，即使细胞被延时记录并以高分辨率跟踪，也很难判断免疫细胞是否仅仅是偶然发现了它们的目标，或者它们是否以目标导向的方式接近它们，也许使用遥感机制，如趋化性。为了回答这个问题，我们为免疫细胞的每一步分配了一个“p值”，即一个移动的概率，至少像观察到的那样是目标导向的，可以用目标无关的迁移行为来解释。将得到的p值分布与具有随机目标位置的参考系统的分布进行比较。通过使用模拟数据，基于各种趋化搜索机制，我们证明了我们的方法可以可靠地区分盲目迁移和目标导向的“狩猎”行为。
英文摘要：
Immune cells have evolved to recognize and eliminate pathogens, and the efficiency of this process can be measured in a Petri dish. Yet, even if the cells are time-lapse recorded and tracked with high resolution, it is difficult to judge whether the immune cells find their targets by mere chance, or if they approach them in a goal-directed way, perhaps using remote sensing mechanisms such as chemotaxis. To answer this question, we assign to each step of an immune cell a 'p-value', the probability that a move, at least as target-directed as observed, can be explained with target-independent migration behavior. The resulting distribution of p-values is compared to the distribution of a reference system with randomized target positions. By using simulated data, based on various chemotactic search mechanisms, we demonstrate that our method can reliably distinguish between blind migration and target-directed 'hunting' behavior.
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