Deriving a germinal center lymphocyte migration model from two-photon data.
Deriving a germinal center lymphocyte migration model from two-photon data.
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DOI：
10.1084/jem.20081160
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发表时间：
2008-12-22
期刊：
影响因子：
--
通讯作者：
Meyer-Hermann M
中科院分区：
文献类型：
--
作者：
Figge MT;Garin A;Gunzer M;Kosco-Vilbois M;Toellner KM;Meyer-Hermann M
最近，双光子成像已经允许在生发中心（GC）反应中对淋巴细胞迁移和细胞相互作用进行活体跟踪。一些研究者获得的双光子测量的含义目前是有争议的主题。借助两种数学方法，我们重新分析了这些数据。结果表明，测量到的淋巴细胞在暗区和亮区之间的迁移频率可以定量地解释为淋巴细胞的持续随机游走。细胞运动数据意味着整个GC内细胞在大约3小时内快速混合，这不允许维持暗区和亮区。该模型预测，趋化性在GC中是活跃的，以维持GC分区，并证明趋化性与双光子淋巴细胞运动数据一致。然而，该模型还预测，趋化因子的敏感性会迅速下调。在这些发现的基础上，我们建立了一个新的GC淋巴细胞迁移模型，并提出了新的双光子实验，结合B细胞迁移的测量和特定趋化因子受体表达水平的验证。此外，我们讨论了一般双光子细胞运动测量解释的一些统计限制。
Recently, two-photon imaging has allowed intravital tracking of lymphocyte migration and cellular interactions during germinal center (GC) reactions. The implications of two-photon measurements obtained by several investigators are currently the subject of controversy. With the help of two mathematical approaches, we reanalyze these data. It is shown that the measured lymphocyte migration frequency between the dark and the light zone is quantitatively explained by persistent random walk of lymphocytes. The cell motility data imply a fast intermixture of cells within the whole GC in approximately 3 h, and this does not allow for maintenance of dark and light zones. The model predicts that chemotaxis is active in GCs to maintain GC zoning and demonstrates that chemotaxis is consistent with two-photon lymphocyte motility data. However, the model also predicts that the chemokine sensitivity is quickly down-regulated. On the basis of these findings, we formulate a novel GC lymphocyte migration model and propose its verification by new two-photon experiments that combine the measurement of B cell migration with that of specific chemokine receptor expression levels. In addition, we discuss some statistical limitations for the interpretation of two-photon cell motility measurements in general.
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影响因子：
56.9
作者：
Allen, Christopher D. C.;Okada, Takaharu;Cyster, Jason G.
通讯作者：
Cyster, Jason G.
影响因子：
4.4
作者：
Beauchemin, Catherine;Dixit, Narendra M.;Perelson, Alan S.
通讯作者：
Perelson, Alan S.
DOI：
10.1080/10446670310001593541
发表时间：
2002-12-01
期刊：
Developmental immunology
影响因子：
--
作者：
Dunn-Walters, Deborah K;Belelovsky, Alex;Mehr, Ramit
通讯作者：
Mehr, Ramit
影响因子：
15.3
作者：
Ansel, K M;McHeyzer-Williams, L J;Ngo, V N;McHeyzer-Williams, M G;Cyster, J G
通讯作者：
Cyster, J G
影响因子：
6.4
作者：
GERDES, J;SCHWAB, U;STEIN, H
通讯作者：
STEIN, H