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首页> 外文期刊>The Journal of Immunology: Official Journal of the American Association of Immunologists >A Stochastic Model of the Germinal Center Integrating Local Antigen Competition, Individualistic T-B Interactions, and B Cell Receptor Signaling
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A Stochastic Model of the Germinal Center Integrating Local Antigen Competition, Individualistic T-B Interactions, and B Cell Receptor Signaling

机译:整合局部抗原竞争,个体化T-B相互作用和B细胞受体信号传导的生发中心的随机模型

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摘要

The germinal center (GC) reaction underlies productive humoral immunity by orchestrating competition-based affinity maturation to produce plasma cells and memory B cells. T cells are limiting in this process. How B cells integrate signals from T cells and BCRs to make fate decisions while subjected to a cyclic selection process is not clear. In this article, we present a spatiotemporally resolved stochastic model that describes cell behaviors as rate-limited stochastic reactions. We hypothesize a signal integrator protein integrates follicular helper T (Tfh)- and Ag-derived signals to drive different B cell fates in a probabilistic manner and a dedicated module of Tfh interaction promoting factors control the efficiency of contact-dependent Tfh help delivery to B cells. Without assuming deterministic affinity-based decisions or temporal event sequence, this model recapitulates GC characteristics, highlights the importance of efficient T cell help delivery during individual contacts with B cells and intercellular positive feedback for affinity maturation, reveals the possibility that antagonism between BCR signaling and T cell help accelerates affinity maturation, and suggests that the dichotomy between affinity and magnitude of GC reaction can be avoided by tuning the efficiency of contact-dependent help delivery during reiterative T-B interactions.
机译:生发中心(GC)反应通过协调基于竞争的亲和力成熟来产生浆细胞和记忆B细胞,从而构成了生产性体液免疫的基础。 T细胞在此过程中受到限制。在经历循环选择过程时,B细胞如何整合来自T细胞和BCR的信号以做出命运决定还不清楚。在本文中,我们提出了一个时空分解的随机模型,该模型将细胞行为描述为速率受限的随机反应。我们假设信号整合蛋白整合了卵泡辅助性T(Tfh)和Ag衍生的信号,以概率方式驱动不同的B细胞命运,并且Tfh相互作用促进因子的专用模块控制接触依赖性Tfh帮助传递至B的效率细胞。在不假设基于确定性的基于亲和力的决定或时间事件序列的情况下,该模型概括了GC的特征,强调了在与B细胞的个体接触以及亲和力成熟的细胞间阳性反馈过程中有效T细胞帮助传递的重要性,揭示了BCR信号传导与BCR之间的拮抗作用的可能性。 T细胞帮助加速了亲和力的成熟,并表明通过在反复性TB相互作用中调整接触依赖性帮助的传递效率可以避免亲和力与GC反应强度之间的二分法。

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