Characterizing T cell movement within lymph nodes in the absence of antigen
Characterizing T cell movement within lymph nodes in the absence of antigen
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DOI：
10.4049/jimmunol.178.9.5505
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发表时间：
2007-05-01
影响因子：
4.4
通讯作者：
Perelson, Alan S.
中科院分区：
文献类型：
--
作者：
Beauchemin, Catherine;Dixit, Narendra M.;Perelson, Alan S.
最近应用双光子显微镜的可视化T细胞运动的淋巴器官内的单个T细胞的存在和不存在的Ag-负载的树突状细胞的轨迹。值得注意的是，尽管T细胞主要沿着成纤维网状细胞网络的管道沿着移动，但它们似乎在淋巴器官中进行随机游走，而不是趋化性。在这项研究中，我们分析了实验轨迹的T细胞使用计算机模拟的理想化随机游走。模拟与实验数据的比较提供了表征T细胞在体内运动的关键参数的估计。例如，我们发现在转向之前移动的距离大约是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细胞将转向新的纤维，类似于50%的时间。虽然校准模型似乎提供了T细胞运动的准确表示，但它也发现了不同实验数据集之间的不一致性。
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 similar to 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.