...
首页> 外文期刊>Journal of Theoretical Biology >A Mathematical Model for Germinal Centre Kinetics and Affinity Maturation.
【24h】

A Mathematical Model for Germinal Centre Kinetics and Affinity Maturation.

机译:生殖中心动力学和亲和力成熟的数学模型。

获取原文
获取原文并翻译 | 示例
           

摘要

We present a mathematical model which reproduces experimental data on the germinal centre (GC) kinetics of the primed primary immune response and on affinity maturation observed during the reaction. We show that antigen masking by antibodies which are produced by emerging plasma cells can drive affinity maturation and provide a feedback mechanism by which the reaction is stable against variations in the initial antigen amount over several orders of magnitude. This provides a possible answer to the long-standing question of the role of antigen reduction in driving affinity maturation. By comparing model predictions with experimental results, we propose that the selection probability of centrocytes and the recycling probability of selected centrocytes are not constant but vary during the GC reaction with respect to time. It is shown that the efficiency of affinity maturation is highest if clones with an affinity for the antigen well above the average affinity in the GC leave the GC for either the memory or plasma cell pool. It is further shown that termination of somatic hypermutation several days before the end of the germinal centre reaction is beneficial for affinity maturation. The impact on affinity maturation of simultaneous initiation of memory cell formation and somatic hypermutation vs. delayed initiation of memory cell formation is discussed.
机译:我们提出了一个数学模型,该模型再现了有关初次免疫反应的生发中心(GC)动力学以及在反应过程中观察到的亲和力成熟的实验数据。我们表明,由新兴浆细胞产生的抗体的抗原掩盖可以驱动亲和力成熟,并提供反馈机制,通过该机制该反应可稳定地抵抗初始抗原量在几个数量级上的变化。这为长期存在的抗原减少在驱动亲和力成熟中的作用提供了可能的答案。通过将模型预测结果与实验结果进行比较,我们提出,中心细胞的选择概率和所选中心细胞的再循环概率不是恒定的,而是在GC反应过程中随时间变化的。如果对抗原的亲和力远高于GC中平均亲和力的克隆离开GC进入记忆或浆细胞池,则表明亲和力成熟的效率最高。进一步表明,在生发中心反应结束前几天终止体细胞高变对于亲和力成熟是有益的。讨论了同时启动记忆细胞形成和体细胞超突变与记忆细胞形成延迟启动对亲和力成熟的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号