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一个适应性良好的免疫系统是如何组织的。

How a well-adapted immune system is organized.

作者信息

Mayer Andreas, Balasubramanian Vijay, Mora Thierry, Walczak Aleksandra M

机构信息

Laboratoire de Physique Théorique and.

Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104; and Initiative for the Theoretical Sciences, The Graduate Center, The City University of New York, New York, NY 10016.

出版信息

Proc Natl Acad Sci U S A. 2015 May 12;112(19):5950-5. doi: 10.1073/pnas.1421827112. Epub 2015 Apr 27.

Abstract

The repertoire of lymphocyte receptors in the adaptive immune system protects organisms from diverse pathogens. A well-adapted repertoire should be tuned to the pathogenic environment to reduce the cost of infections. We develop a general framework for predicting the optimal repertoire that minimizes the cost of infections contracted from a given distribution of pathogens. The theory predicts that the immune system will have more receptors for rare antigens than expected from the frequency of encounters; individuals exposed to the same infections will have sparse repertoires that are largely different, but nevertheless exploit cross-reactivity to provide the same coverage of antigens; and the optimal repertoires can be reached via the dynamics of competitive binding of antigens by receptors and selective amplification of stimulated receptors. Our results follow from a tension between the statistics of pathogen detection, which favor a broader receptor distribution, and the effects of cross-reactivity, which tend to concentrate the optimal repertoire onto a few highly abundant clones. Our predictions can be tested in high-throughput surveys of receptor and pathogen diversity.

摘要

适应性免疫系统中淋巴细胞受体的全部组成可保护生物体抵御各种病原体。一个适应性良好的全部组成应根据致病环境进行调整,以降低感染成本。我们开发了一个通用框架,用于预测能将从给定病原体分布中感染的成本降至最低的最佳全部组成。该理论预测,免疫系统对稀有抗原的受体数量将超过根据接触频率所预期的数量;暴露于相同感染的个体将拥有稀疏的全部组成,这些组成在很大程度上有所不同,但仍利用交叉反应性来提供相同的抗原覆盖范围;并且最佳全部组成可通过受体对抗原的竞争性结合动力学以及受刺激受体的选择性扩增来实现。我们的结果源于病原体检测统计学(倾向于更广泛的受体分布)与交叉反应性效应(倾向于将最佳全部组成集中到少数高度丰富的克隆上)之间的矛盾。我们的预测可在受体和病原体多样性的高通量调查中进行检验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df52/4434741/850352e38394/pnas.1421827112fig01.jpg

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