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Mathematical models of memory T-cell compartment size and repertoire dynamics.

机译:记忆T细胞区室大小和库动态的数学模型。

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摘要

Immunity to infections is conferred by the immune system via memory cells, which are created when a host first encounters a virus and serve as sentinels that activate quickly to eliminate any reinfections that occur. Some memory cells secrete antibodies against extracellular invaders, others act as coordinators of the immune response, and some—the memory CD8+ T-cells—eradicate intracellular pathogens by killing infected host cells. These latter cells are each equipped with T-cell receptors that recognize and become activated only in response to a particular virus; thus, a host must possess a broad repertoire of memory CD8+ T-cells with a range of specificities to effectively protect against viral invasions. The breadth of the memory repertoire is constrained, however, by the fact that the number of memory CD8+ T-cells is remarkably constant between infections. Therefore, some attrition of existing memory cells is necessary following infections to make room for new memory cells. Furthermore, some viruses induce memory attrition early in infections creating an underfilled memory compartment; cells must then proliferate to restore the memory compartment to its homeostatic size.;In this thesis, we use deterministic mathematical models to investigate possible mechanisms that maintain memory compartment size. In particular, we examine whether resource competition for survival signals is sufficient to regulate the number of memory cells, even with repeated or persistent cellular influx. To examine how viral infections impact the composition of the memory CD8+ T-cell repertoire, we use stochastic approaches to develop probabilistic models of cellular attrition and proliferation events. We apply these models to acute viruses that stimulate T-cell responses as well as to viruses that cause a drastic early T-cell attrition in order to find probability distributions for the post-infection size of every memory T-cell lineage (as defined by T-cell receptor specificities) in the repertoire. This allows us to determine and compare the effects of such viruses on overall memory compartment diversity, individual T-cell lineage representation, lineage extinction times and probabilities, and other compartment dynamics. Using this information, we draw conclusions about how immunity to past diseases changes or is lost as a result of new infections.
机译:免疫系统通过记忆细胞赋予感染免疫力,记忆细胞是在宿主初次感染病毒时产生的,并充当前哨,迅速激活以消除发生的任何再感染。一些记忆细胞分泌针对细胞外入侵者的抗体,另一些记忆细胞充当免疫应答的协调者,而另一些记忆细胞CD8 + T细胞则通过杀死感染的宿主细胞来消除细胞内病原体。后面的这些细胞各自配备有T细胞受体,它们仅在对特定病毒有反应时才能识别并激活。因此,宿主必须具有广泛的记忆CD8 + T细胞库,并具有一系列特异性,以有效地防止病毒入侵。但是,由于感染之间的记忆CD8 + T细胞数量非常恒定,这一事实限制了记忆库的广度。因此,在感染后必须消耗一些现有的存​​储单元,以便为新的存储单元腾出空间。此外,某些病毒会在感染初期导致记忆力减退,从而造成记忆舱不足。然后,细胞必须增殖以使记忆区恢复到其稳态大小。在本文中,我们使用确定性数学模型研究维持记忆区大小的可能机制。特别是,我们检查了生存信号的资源竞争是否足以调节存储单元的数量,即使重复或持续的细胞大量涌入也是如此。要检查病毒感染如何影响记忆CD8 + T细胞库的组成,我们使用随机方法来开发细胞耗损和增殖事件的概率模型。我们将这些模型应用于刺激T细胞反应的急性病毒以及引起剧烈T细胞早期磨损的病毒,以便找到每个记忆T细胞谱系的感染后大小的概率分布(定义为曲目中的T细胞受体特异性)。这使我们能够确定和比较此类病毒对整体存储区多样性,单个T细胞谱系表示,谱系灭绝时间和概率以及其他区室动态的影响。利用这些信息,我们得出结论,即对过去疾病的免疫力如何由于新感染而改变或丧失。

著录项

  • 作者

    Davis, Courtney L.;

  • 作者单位

    The University of Utah.;

  • 授予单位 The University of Utah.;
  • 学科 Mathematics.;Health Sciences Immunology.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 155 p.
  • 总页数 155
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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