Textor Johannes, Henrickson Sarah E, Mandl Judith N, von Andrian Ulrich H, Westermann Jürgen, de Boer Rob J, Beltman Joost B
Theoretical Biology & Bioinformatics, Utrecht University, Utrecht, The Netherlands.
Department of Pathology, Harvard Medical School, Boston, Massachusetts, United States of America.
PLoS Comput Biol. 2014 Aug 7;10(8):e1003752. doi: 10.1371/journal.pcbi.1003752. eCollection 2014 Aug.
To fight infections, rare T cells must quickly home to appropriate lymph nodes (LNs), and reliably localize the antigen (Ag) within them. The first challenge calls for rapid trafficking between LNs, whereas the second may require extensive search within each LN. Here we combine simulations and experimental data to investigate which features of random T cell migration within and between LNs allow meeting these two conflicting demands. Our model indicates that integrating signals from multiple random encounters with Ag-presenting cells permits reliable detection of even low-dose Ag, and predicts a kinetic feature of cognate T cell arrest in LNs that we confirm using intravital two-photon data. Furthermore, we obtain the most reliable retention if T cells transit through LNs stochastically, which may explain the long and widely distributed LN dwell times observed in vivo. Finally, we demonstrate that random migration, both between and within LNs, allows recruiting the majority of cognate precursors within a few days for various realistic infection scenarios. Thus, the combination of two-scale stochastic migration and signal integration is an efficient and robust strategy for T cell immune surveillance.
为对抗感染,罕见的T细胞必须迅速归巢至合适的淋巴结(LN),并在其中可靠地定位抗原(Ag)。第一个挑战要求在淋巴结之间快速运输,而第二个挑战可能需要在每个淋巴结内进行广泛搜索。在这里,我们结合模拟和实验数据,研究淋巴结内和淋巴结之间随机T细胞迁移的哪些特征能够满足这两个相互冲突的需求。我们的模型表明,整合来自与抗原呈递细胞多次随机相遇的信号能够可靠地检测到低剂量抗原,并预测了同源T细胞在淋巴结中停滞的动力学特征,我们使用活体双光子数据证实了这一特征。此外,如果T细胞随机穿过淋巴结,我们就能获得最可靠的滞留效果,这或许可以解释在体内观察到的较长且分布广泛的淋巴结停留时间。最后,我们证明,对于各种现实的感染情况,淋巴结之间和淋巴结内部的随机迁移能够在几天内招募到大多数同源前体细胞。因此,两尺度随机迁移和信号整合的结合是T细胞免疫监视的一种高效且稳健的策略。