Richards David M, Endres Robert G
Department of Life Sciences, Imperial College, London, United Kingdom; Centre for Integrative Systems Biology and Bioinformatics, Imperial College, London, United Kingdom.
Department of Life Sciences, Imperial College, London, United Kingdom; Centre for Integrative Systems Biology and Bioinformatics, Imperial College, London, United Kingdom.
Biophys J. 2014 Oct 7;107(7):1542-53. doi: 10.1016/j.bpj.2014.07.070.
Despite being of vital importance to the immune system, the mechanism by which cells engulf relatively large solid particles during phagocytosis is still poorly understood. From movies of neutrophil phagocytosis of polystyrene beads, we measure the fractional engulfment as a function of time and demonstrate that phagocytosis occurs in two distinct stages. During the first stage, engulfment is relatively slow and progressively slows down as phagocytosis proceeds. However, at approximately half-engulfment, the rate of engulfment increases dramatically, with complete engulfment attained soon afterwards. By studying simple mathematical models of phagocytosis, we suggest that the first stage is due to a passive mechanism, determined by receptor diffusion and capture, whereas the second stage is more actively controlled, perhaps with receptors being driven toward the site of engulfment. We then consider a more advanced model that includes signaling and captures both stages of engulfment. This model predicts that there is an optimum ligand density for quick engulfment. Further, we show how this model explains why nonspherical particles engulf quickest when presented tip-first. Our findings suggest that active regulation may be a later evolutionary innovation, allowing fast and robust engulfment even for large particles.
尽管吞噬作用对免疫系统至关重要,但细胞在吞噬过程中吞噬相对较大固体颗粒的机制仍知之甚少。通过观察中性粒细胞吞噬聚苯乙烯珠的影像,我们测量了吞噬分数随时间的变化,并证明吞噬作用分两个不同阶段发生。在第一阶段,吞噬相对较慢,且随着吞噬过程的进行逐渐减缓。然而,在大约半吞噬时,吞噬速率急剧增加,随后很快实现完全吞噬。通过研究吞噬作用的简单数学模型,我们认为第一阶段是由受体扩散和捕获决定的被动机制,而第二阶段则受到更积极的控制,可能是受体被驱动向吞噬位点移动。然后我们考虑一个更先进的模型,该模型包含信号传导并涵盖吞噬的两个阶段。此模型预测存在一个能实现快速吞噬的最佳配体密度。此外,我们展示了该模型如何解释非球形颗粒尖端先呈现时吞噬最快的原因。我们的研究结果表明,主动调节可能是后来的进化创新,即使对于大颗粒也能实现快速且稳健的吞噬。