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通过定量迁移分析揭示在无炎症情况下淋巴结中异质性CD8 + T细胞的迁移。

Heterogeneous CD8+ T cell migration in the lymph node in the absence of inflammation revealed by quantitative migration analysis.

作者信息

Banigan Edward J, Harris Tajie H, Christian David A, Hunter Christopher A, Liu Andrea J

机构信息

Department of Physics and Astronomy, School of Arts and Sciences, University of Pennsylvania, Philadelphia, Philadelphia, United States of America; Department of Physics and Astronomy, Northwestern University, Evanston, Illinois, United States of America.

Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Philadelphia, United States of America; Department of Neuroscience, School of Medicine, University of Virginia, Charlottesville, Virginia, United States of America.

出版信息

PLoS Comput Biol. 2015 Feb 18;11(2):e1004058. doi: 10.1371/journal.pcbi.1004058. eCollection 2015 Feb.

Abstract

The three-dimensional positions of immune cells can be tracked in live tissues precisely as a function of time using two-photon microscopy. However, standard methods of analysis used in the field and experimental artifacts can bias interpretations and obscure important aspects of cell migration such as directional migration and non-Brownian walk statistics. Therefore, methods were developed for minimizing drift artifacts, identifying directional and anisotropic (asymmetric) migration, and classifying cell migration statistics. These methods were applied to describe the migration statistics of CD8+ T cells in uninflamed lymph nodes. Contrary to current models, CD8+ T cell statistics are not well described by a straightforward persistent random walk model. Instead, a model in which one population of cells moves via Brownian-like motion and another population follows variable persistent random walks with noise reproduces multiple statistical measures of CD8+ T cell migration in the lymph node in the absence of inflammation.

摘要

利用双光子显微镜可以在活组织中精确追踪免疫细胞的三维位置随时间的变化。然而,该领域使用的标准分析方法和实验假象可能会使解释产生偏差,并掩盖细胞迁移的重要方面,如定向迁移和非布朗运动统计。因此,开发了一些方法来最小化漂移假象,识别定向和各向异性(不对称)迁移,并对细胞迁移统计进行分类。这些方法被用于描述未发炎淋巴结中CD8 + T细胞的迁移统计。与当前模型相反,简单的持续随机游走模型并不能很好地描述CD8 + T细胞的统计数据。相反,一种模型,即一部分细胞通过类似布朗运动移动,另一部分细胞遵循带有噪声的可变持续随机游走,能够重现未发炎淋巴结中CD8 + T细胞迁移的多种统计测量结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6531/4334969/893214a045e5/pcbi.1004058.g001.jpg

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