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Antibody-Specific Model of Amino Acid Substitution for Immunological Inferences from Alignments of Antibody Sequences

机译:从抗体序列比对的免疫学推断中氨基酸取代的抗体特异性模型

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摘要

Antibodies are glycoproteins produced by the immune system as a dynamically adaptive line of defense against invading pathogens. Very elegant and specific mutational mechanisms allow B lymphocytes to produce a large and diversified repertoire of antibodies, which is modified and enhanced throughout all adulthood. One of these mechanisms is somatic hypermutation, which stochastically mutates nucleotides in the antibody genes, forming new sequences with different properties and, eventually, higher affinity and selectivity to the pathogenic target. As somatic hypermutation involves fast mutation of antibody sequences, this process can be described using a Markov substitution model of molecular evolution. Here, using large sets of antibody sequences from mice and humans, we infer an empirical amino acid substitution model AB, which is specific to antibody sequences. Compared with existing general amino acid models, we show that the AB model provides significantly better description for the somatic evolution of mice and human antibody sequences, as demonstrated on large next generation sequencing (NGS) antibody data. General amino acid models are reflective of conservation at the protein level due to functional constraints, with most frequent amino acids exchanges taking place between residues with the same or similar physicochemical properties. In contrast, within the variable part of antibody sequences we observed an elevated frequency of exchanges between amino acids with distinct physicochemical properties. This is indicative of a sui generis mutational mechanism, specific to antibody somatic hypermutation. We illustrate this property of antibody sequences by a comparative analysis of the network modularity implied by the AB model and general amino acid substitution models. We recommend using the new model for computational studies of antibody sequence maturation, including inference of alignments and phylogenetic trees describing antibody somatic hypermutation in large NGS data sets. The AB model is implemented in the open-source software CodonPhyML () and can be downloaded and supplied by the user to ProGraphMSA () or other alignment and phylogeny reconstruction programs that allow for user-defined substitution models.
机译:抗体是由免疫系统产生的糖蛋白,可作为抵御病原体的动态自适应防御线。非常优雅和特异的突变机制使B淋巴细胞能够产生大量的多样化抗体,这些抗体在整个成年期都得到了修饰和增强。这些机制之一是体细胞超突变,其随机突变抗体基因中的核苷酸,形成具有不同特性的新序列,并最终对病原体具有更高的亲和力和选择性。由于体细胞超突变涉及抗体序列的快速突变,因此可以使用分子进化的马尔可夫替换模型来描述此过程。在这里,使用来自小鼠和人类的大量抗体序列,我们推断出一个经验性氨基酸替代模型AB,它对抗体序列具有特异性。与现有的一般氨基酸模型相比,我们显示AB模型为小鼠和人类抗体序列的体细胞进化提供了更好的描述,这在大型下一代测序(NGS)抗体数据中得到了证明。通用氨基酸模型反映了由于功能限制而在蛋白质水平上的保守性,其中最频繁的氨基酸交换发生在具有相同或相似理化特性的残基之间。相反,在抗体序列的可变部分内,我们观察到了具有不同理化特性的氨基酸之间的交换频率升高。这表明特定于抗体体细胞超突变的特殊突变机制。我们通过对AB模型和一般氨基酸替代模型所隐含的网络模块性进行比较分析来说明抗体序列的这一特性。我们建议使用新模型进行抗体序列成熟度的计算研究,包括比对和描述大型NGS数据集中抗体体细胞超突变的系统进化树的推断。 AB模型在开源软件CodonPhyML()中实现,可以由用户下载并提供给ProGraphMSA()或其他允许用户定义替换模型的比对和系统发育重建程序。

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