Department of Genomics of Adaptive Immunity, IBCH RAS, Moscow, Russia.
Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
Genome Med. 2018 Aug 25;10(1):68. doi: 10.1186/s13073-018-0577-7.
Adaptive immune responses to newly encountered pathogens depend on the mobilization of antigen-specific clonotypes from a vastly diverse pool of naive T cells. Using recent advances in immune repertoire sequencing technologies, models of the immune receptor rearrangement process, and a database of annotated T cell receptor (TCR) sequences with known specificities, we explored the baseline frequencies of T cells specific for defined human leukocyte antigen (HLA) class I-restricted epitopes in healthy individuals.
We used a database of TCR sequences with known antigen specificities and a probabilistic TCR rearrangement model to estimate the baseline frequencies of TCRs specific to distinct antigens epitopespecificT-cells. We verified our estimates using a publicly available collection of TCR repertoires from healthy individuals. We also interrogated a database of immunogenic and non-immunogenic peptides is used to link baseline T-cell frequencies with epitope immunogenicity.
Our findings revealed a high degree of variability in the prevalence of T cells specific for different antigens that could be explained by the physicochemical properties of the corresponding HLA class I-bound peptides. The occurrence of certain rearrangements was influenced by ancestry and HLA class I restriction, and umbilical cord blood samples contained higher frequencies of common pathogen-specific TCRs. We also identified a quantitative link between specific T cell frequencies and the immunogenicity of cognate epitopes presented by defined HLA class I molecules.
Our results suggest that the population frequencies of specific T cells are strikingly non-uniform across epitopes that are known to elicit immune responses. This inference leads to a new definition of epitope immunogenicity based on specific TCR frequencies, which can be estimated with a high degree of accuracy in silico, thereby providing a novel framework to integrate computational and experimental genomics with basic and translational research efforts in the field of T cell immunology.
针对新遇到的病原体的适应性免疫反应依赖于从大量幼稚 T 细胞中动员抗原特异性克隆型。利用最近在免疫受体测序技术、免疫受体重排过程模型以及具有已知特异性的注释 T 细胞受体 (TCR) 序列数据库方面的进展,我们探索了健康个体中针对特定人类白细胞抗原 (HLA) Ⅰ类限制表位的 T 细胞的基线频率。
我们使用具有已知抗原特异性的 TCR 序列数据库和概率 TCR 重排模型来估计针对不同抗原表位特异性 TCR 的基线频率。我们使用来自健康个体的公共 TCR 库来验证我们的估计。我们还查询了免疫原性和非免疫原性肽数据库,以将基线 T 细胞频率与表位免疫原性联系起来。
我们的研究结果表明,针对不同抗原的 T 细胞的流行程度存在很大的差异,这可以用相应的 HLA Ⅰ类结合肽的物理化学性质来解释。某些重排的发生受到遗传背景和 HLA Ⅰ类限制的影响,脐带血样本中包含更高频率的常见病原体特异性 TCR。我们还确定了特定 T 细胞频率与由特定 HLA Ⅰ类分子呈递的同源表位的免疫原性之间的定量联系。
我们的研究结果表明,在已知能够引发免疫反应的表位中,特定 T 细胞的群体频率非常不均匀。这种推断导致了一种基于特异性 TCR 频率的新的表位免疫原性定义,该定义可以在计算机上高度准确地估计,从而为整合计算和实验基因组学与 T 细胞免疫学领域的基础和转化研究提供了一个新的框架。