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arXiv 1810.06015physics.bio-phcond-mat.stat-mechq-bio.CB
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突触模式的主动调节增强免疫识别

Active tuning of synaptic patterns enhances immune discrimination

Miloš Knežević, Shenshen Wang

摘要:

免疫细胞通过触觉来了解它们的抗原靶标:在识别过程中,免疫细胞和抗原呈递细胞(APC)之间形成了一个高度组织化但动态的基序,称为免疫突触。通过突触,免疫细胞通过施加由收缩性细胞骨架产生的机械拉力来选择性地从APC提取识别的抗原。奇怪的是,根据其发育阶段,B淋巴细胞表现出不同的突触模式,并以不同的强度和时间使用力,这似乎强烈影响其区分抗原亲和力的能力。然而,分子结合亲和力转化为抗原获得量的机制仍然是一个未解决的难题。我们使用一个螺旋机械模型来研究如何实验观察到的突触结构可以从正常的细胞骨架力耦合到移动受体的横向组织,并显示如何这种积极的调节方案,集体性质,可以提供一个强大的分级方案,允许有效的和广泛的亲和力歧视必要的适当的免疫功能。

英文摘要:

Immune cells learn about their antigenic targets using tactile sense: during recognition, a highly organized yet dynamic motif, named immunological synapse, forms between immune cells and antigen-presenting cells (APCs). Via synapses, immune cells selectively extract recognized antigen from APCs by applying mechanical pulling forces generated by the contractile cytoskeleton. Curiously, depending on its stage of development, a B lymphocyte exhibits distinct synaptic patterns and uses force at different strength and timing, which appear to strongly impact its capacity of distinguishing antigen affinities. However, the mechanism by which molecular binding affinity translates into the amount of antigen acquisition remains an unsolved puzzle. We use a statistical-mechanical model to study how the experimentally observed synaptic architectures can originate from normal cytoskeletal forces coupled to lateral organization of mobile receptors, and show how this active regulation scheme, collective in nature, may provide a robust grading scheme that allows efficient and broad affinity discrimination essential for proper immune function.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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