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Diversity Against Adversity: How Adaptive Immune System Evolves Potent Antibodies

机译:对抗逆境的多样性:适应性免疫系统如何发展强力抗体。

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Adaptive immunity is an amazing mechanism, whereby new protein functions-affinity of antibodies (Immunoglobulins) to new antigens-evolve through mutation and selection in a matter of a few days. Despite numerous experimental studies, the fundamental physical principles underlying immune response are still poorly understood. In considerable departure from past approaches, here, we propose a microscopic multiscale model of adaptive immune response, which consists of three essential players: The host cells, viruses, and B-cells in Germinal Centers (GC). Each moiety carries a genome, which encodes proteins whose stability and interactions are determined from their sequences using laws of Statistical Mechanics, providing an exact relationship between genomic sequences and strength of interactions between pathogens and antibodies and antibodies and host proteins (autoimmunity). We find that evolution of potent antibodies (the process known as Affinity Maturation (AM)) is a delicate balancing act, which has to reconcile the conflicting requirements of protein stability, lack of autoimmunity, and high affinity of antibodies to incoming antigens. This becomes possible only when antibody producing B cells elevate their mutation rates (process known as Somatic Hypermutation (SHM)) to fall into a certain range-not too low to find potency increasing mutations but not too high to destroy stable Immunoglobulins and/or already achieved affinity. Potent antibodies develop through clonal expansion of initial B cells expressing marginally potent antibodies followed by their subsequent affinity maturation through mutation and selection. As a result, in each GC the population of mature potent Immunoglobulins is monoclonal being ancestors of a single cell from initial (germline) pool. We developed a simple analytical theory, which provides further rationale to our findings. The model and theory reveal the molecular factors that determine the efficiency of affinity maturation, thereby providing insight into the variability of the immune response to cytopathic viruses (the direct response by germline antibodies) and poorly cytopathic viruses (a crucial role of SHM in the response).
机译:适应性免疫是一种了不起的机制,通过这种新的蛋白质功能,抗体(免疫球蛋白)对新抗原的亲和力可在几天内通过突变和选择而进化。尽管进行了大量的实验研究,但对免疫反应的基本物理原理仍知之甚少。与过去的方法大相径庭的是,我们提出了一种适应性免疫反应的微观多尺度模型,该模型由三个基本参与者组成:宿主细胞,病毒和生发中心(GC)中的B细胞。每个部分均携带一个基因组,该基因组编码的蛋白质的稳定性和相互作用是使用统计力学定律从其序列中确定的,从而提供了基因组序列与病原体与抗体以及抗体与宿主蛋白之间的相互作用强度之间的确切关系(自身免疫性)。我们发现有效抗体的进化(称为亲和力成熟(AM)的过程)是一种微妙的平衡行为,它必须调和蛋白质稳定性,缺乏自身免疫性和抗体对传入抗原的高亲和力的矛盾要求。仅当产生抗体的B细胞将其突变率提高(称为体细胞超突变(SHM)的过程)落入某个范围时才有可能-不能太低以至于不能找到效力增加的突变,而不能太高而足以破坏稳定的免疫球蛋白和/或已经实现亲和力。通过最初表达少量有效抗体的初始B细胞的克隆扩增,然后通过突变和选择使其亲和力成熟,可产生有效的抗体。结果,在每个GC中,成熟有效的免疫球蛋白群体都是单克隆的,是最初(生殖细胞)库中单个细胞的祖先。我们开发了一种简单的分析理论,为我们的发现提供了进一步的理论依据。该模型和理论揭示了决定亲和力成熟效率的分子因素,从而深入了解了对细胞病变病毒(种系抗体的直接反应)和细胞病变较弱病毒(SHM在反应中的关键作用)的免疫应答的变异性)。

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