Suppr超能文献

体细胞突变、亲和力成熟与抗体库:一个计算机模型

Somatic mutation, affinity maturation and the antibody repertoire: a computer model.

作者信息

Weinand R G

机构信息

Department of Computer Science, Wayne State University, Detroit, Michigan 48202.

出版信息

J Theor Biol. 1990 Apr 5;143(3):343-82. doi: 10.1016/s0022-5193(05)80034-7.

Abstract

Somatic mutation has been implicated as a significant and possibly primary factor in the maturation of antibody affinity in the humoral immune response. B cells stimulated by antigen experience a hyper-mutation in the gene segments that code for the antigen-binding site of the antibody, creating antibody specificities that did not exist at the time of immunization. Although most of the mutations are likely to be disadvantageous, new specificities with a higher affinity for the antigen are sometimes created. These higher-affinity cells are preferentially selected for proliferation and eventual antibody secretion, resulting in a progressively higher average affinity over time. In this paper we present the results of an investigation of somatic mutation through the use of a computer model. At the basis of the model is a large repertoire of discrete antibodies and antigens, having three-dimensional structures, that exhibit properties similar to those of the real populations. The key factor is that the binding strength between any antibody/antigen pair can be calculated as a function of the complementarity of the (a) size, (b) shape and (c) functional groups that comprise the two structures. The created repertoires are imbedded in a dynamical system model of the immune response to directly evaluate the affect of somatic mutation on affinity maturation. We also present an expanded hypothesis of clonal selection and development to explain how the mutational restrictions imposed by the genetic code and the structure of the antibody repertoire, along with antigen concentration, affinity, and probabilistic factors may interact and contribute to the expansion of specific clones as the response develops over time.

摘要

体细胞突变被认为是体液免疫反应中抗体亲和力成熟的一个重要且可能是主要的因素。受抗原刺激的B细胞在编码抗体抗原结合位点的基因片段中经历超突变,产生免疫时不存在的抗体特异性。虽然大多数突变可能是不利的,但有时会产生对抗原有更高亲和力的新特异性。这些高亲和力细胞被优先选择进行增殖并最终分泌抗体,导致随着时间推移平均亲和力逐渐提高。在本文中,我们展示了通过使用计算机模型对体细胞突变进行研究的结果。该模型基于大量具有三维结构的离散抗体和抗原库,这些抗体和抗原表现出与真实群体相似的特性。关键因素是,任何抗体/抗原对之间的结合强度可以根据构成两种结构的(a)大小、(b)形状和(c)官能团的互补性来计算。所创建的库被嵌入免疫反应的动态系统模型中,以直接评估体细胞突变对亲和力成熟的影响。我们还提出了一个关于克隆选择和发育的扩展假说,以解释遗传密码和抗体库结构所施加的突变限制,以及抗原浓度、亲和力和概率因素如何随着反应随时间发展而相互作用并促进特定克隆的扩增。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验