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Determining whether observed eukaryotic cell migration indicates chemotactic responsiveness or random chemokinetic motion

机译:确定观察到的真核细胞迁移是否表明趋化响应性或随机趋化运动

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Chemotaxis, the motion of cells directed by a gradient of chemoattractant molecules, guides cells in immune response, development, wound healing, and cancer. Unfortunately, this process is difficult to distinguish from chemokinesis, i.e., stimulated random cell motion. Chemotaxis is frequently inferred by determining how many cells cross a boundary in a chemotaxis assay, for example how many cells crawl into a chemoattractant-infused filter, or how many cells enter a defined region in an under-agarose assay or agarose spot assay. To mitigate possible ambiguity in whether motion observed in these assays is directed by the chemoattractant gradient or by chemokinesis, we developed a mathematical model to determine when such methods indeed indicate directed motion of cells. In contrast to previous analyses of chemotaxis assays, we report not just the gradients that arise in the assays but also resulting cell motion. We applied the model to data obtained from rigorous measurements and show, as examples, that MDA-MB-231 breast-cancer cells are at least 20 times less sensitive to gradients of EGF or CXCL12 than neutrophils are to formyl peptides; we then used this information to determine the extent to which gradient sensing increases the rate of boundary crossing relative to a random-motility control. Results show, for example, that in the filter assay, 2-4 times as many neutrophils pass through the filter when exposed to a gradient as when the gradient is absent. However, in the other combinations of cells and assays we considered, only 10-20% more cells are counted as having migrated in a directed, rather than random, motility condition. We also discuss the design of appropriate controls for these assays, which is difficult for the under-agarose and agarose spot assays. Moreover, although straightforward to perform with the filter assay, reliable controls are often not done. Consequently, we infer that chemotaxis is frequently over-reported, especially for cells like MDA-MB-231 cells, which move slowly and are relatively insensitive to gradients. Such results provide insights into the use of chemotaxis assays, particularly if one wants to acquire and analyze quantitative data. Published by Elsevier Ltd.
机译:趋化性,由趋化物分子的梯度引导的细胞的运动,引导免疫应答,发育,伤口愈合和癌症中的细胞。遗憾的是,该过程难以区分趋化性,即刺激的随机细胞运动。通过确定趋化性测定中的界限越界,常常推断趋化性,例如,在琼脂糖的测定或琼脂糖点测定中进入有多少细胞进入化学侵入剂注入过滤器或者有多少细胞进入琼脂糖测定中的细胞。为了在这些测定中观察到的运动来减轻可能的模糊性,由化学侵入剂梯度或通过趋化性,我们开发了一种数学模型,以确定这些方法是否确实表明细胞的迹象。与先前的趋化性分析相比,我们不仅报告了测定中出现的梯度,而且还报告了导致细胞运动。我们将模型应用于从严格的测量结果获得的数据,作为实例,MDA-MB-231乳腺癌细胞与EGF或CXCL12的梯度敏感的敏感性较小的20倍,而不是中性粒细胞是甲醛肽;然后,我们使用该信息来确定梯度感测的程度增加了相对于随机运动控制的边界交叉率。结果表明,例如,在过滤器测定中,在暴露于梯度时,在梯度不存在时,在许多中性粒细胞穿过过滤器的2-4倍。然而,在我们考虑的细胞和测定的其他组合中,仅计算10-20%的细胞,以在指向的,而不是随机的动力状态下迁移。我们还讨论了这些测定的适当对照的设计,这对于琼脂糖和琼脂糖点测定是难以的。此外,尽管与过滤器测定进行直接执行,但通常没有进行可靠的控制。因此,我们推断趋化性经常过度报道,特别是对于MDA-MB-231细胞等细胞,其缓慢地移动并且对梯度相对不敏感。这种结果提供了对趋化性测定的使用,特别是如果想要获得和分析定量数据。 elsevier有限公司出版

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