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在无抗原情况下表征T细胞在淋巴结内的移动。

Characterizing T cell movement within lymph nodes in the absence of antigen.

作者信息

Beauchemin Catherine, Dixit Narendra M, Perelson Alan S

机构信息

Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.

出版信息

J Immunol. 2007 May 1;178(9):5505-12. doi: 10.4049/jimmunol.178.9.5505.

Abstract

The recent application of two-photon microscopy to the visualization of T cell movement has presented trajectories of individual T cells within lymphoid organs both in the presence and in the absence of Ag-loaded dendritic cells. Remarkably, even though T cells largely move along conduits of the fibroblastic reticular cell network, they appear to execute random walks in lymphoid organs rather than chemotaxis. In this study, we analyze experimental trajectories of T cells using computer simulations of idealized random walks. Comparisons of simulations with experimental data provide estimates of key parameters that characterize T cell motion in vivo. For example, we find that the distance moved before turning is about twice the distance between intersections in the fibroblastic reticular cell network, suggesting that at an intersection a T cell will turn onto a new fiber approximately 50% of the time. Although the calibrated model appears to offer an accurate representation of T cell movement, it has also uncovered inconsistencies across different experimental data sets.

摘要

最近,双光子显微镜在可视化T细胞运动方面的应用呈现了在存在和不存在负载抗原的树突状细胞的情况下,淋巴器官内单个T细胞的轨迹。值得注意的是,尽管T细胞主要沿着成纤维细胞网状细胞网络的管道移动,但它们在淋巴器官中似乎是进行随机游走而非趋化作用。在本研究中,我们使用理想化随机游走的计算机模拟来分析T细胞的实验轨迹。模拟与实验数据的比较提供了表征体内T细胞运动的关键参数的估计值。例如,我们发现转向之前移动的距离约为成纤维细胞网状细胞网络中交叉点之间距离的两倍,这表明在交叉点处,T细胞大约有50%的时间会转向新的纤维。尽管校准模型似乎能够准确呈现T细胞的运动,但它也揭示了不同实验数据集之间的不一致性。

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