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模拟T细胞和B细胞的生长与分化。

Modeling T- and B-cell growth and differentiation.

作者信息

Callard Robin, Hodgkin Phil

机构信息

Immunobiology Unit, Institute of Child Health, University College London, London, UK.

出版信息

Immunol Rev. 2007 Apr;216:119-29. doi: 10.1111/j.1600-065X.2006.00498.x.

DOI:10.1111/j.1600-065X.2006.00498.x
PMID:17367338
Abstract

The control of T- and B-cell proliferation following antigen stimulation lies at the heart of the adaptive immune response. The outcome of a response depends on the number of cells that are activated to go into cycle, the rates at which the cells divide and die, and the number of division cycles the cells undergo. Each of these processes may be under independent control, and the precise outcome of T- or B-cell responses to antigen will depend on how the signals controlling the different events are integrated. In this article, the way different mathematical models in combination with data from carboxyfluorescein diacetate succinamidyl ester (CFSE) experiments can be used to investigate the mechanisms controlling T- and B-cell proliferation is reviewed.

摘要

抗原刺激后T细胞和B细胞增殖的控制是适应性免疫反应的核心。反应的结果取决于被激活进入细胞周期的细胞数量、细胞分裂和死亡的速率以及细胞经历的分裂周期数。这些过程中的每一个都可能受到独立控制,T细胞或B细胞对抗原反应的精确结果将取决于控制不同事件的信号如何整合。在本文中,将综述如何结合不同的数学模型与来自羧基荧光素二乙酸琥珀酰亚胺酯(CFSE)实验的数据来研究控制T细胞和B细胞增殖的机制。

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