Giulio Isacchini, Valentin Quiniou, Pierre Barennes, Vanessa Mhanna, Hélène Vantomme, Paul Stys, Encarnita Mariotti-Ferrandiz, David Klatzmann, Aleksandra M Walczak, Thierry Mora, Armita Nourmohammad
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引用次数: 0
Abstract
The adaptive immune response relies on T cells that combine phenotypic specialization with diversity of T-cell receptors (TCRs) to recognize a wide range of pathogens. TCRs are acquired and selected during T-cell maturation in the thymus. Characterizing TCR repertoires across individuals and T-cell maturation stages is important for better understanding adaptive immune responses and for developing new diagnostics and therapies. Analyzing a dataset of human TCR repertoires from thymocyte subsets, we find that the variability between individuals generated during the TCR V(D)J recombination is maintained through all stages of T-cell maturation and differentiation. The interindividual variability of repertoires of the same cell type is of comparable magnitude to the variability across cell types within the same individual. To zoom in on smaller scales than whole repertoires, we defined a distance measuring the relative overlap of locally similar sequences in repertoires. We find that the whole repertoire models correctly predict local similarity networks, suggesting a lack of forbidden T-cell receptor sequences. The local measure correlates well with distances calculated using whole repertoire traits and carries information about cell types.
适应性免疫反应依赖于将表型特化与 T 细胞受体(TCR)多样性相结合的 T 细胞来识别各种病原体。TCR是在胸腺中T细胞成熟过程中获得和选择的。描述不同个体和不同 T 细胞成熟阶段的 TCR 基因库对于更好地了解适应性免疫反应以及开发新的诊断和疗法非常重要。通过分析胸腺细胞亚群的人类 TCR 重排数据集,我们发现在 TCR V(D)J 重组过程中产生的个体间变异在 T 细胞成熟和分化的所有阶段都保持不变。同一细胞类型的基因库的个体间变异性与同一个体内不同细胞类型的变异性大小相当。为了放大比整个语汇更小的尺度,我们定义了一个距离,测量语汇中局部相似序列的相对重叠。我们发现,整个语料库模型能正确预测局部相似性网络,这表明缺乏禁用的 T 细胞受体序列。这种局部测量方法与利用整个语料库特征计算出的距离有很好的相关性,并携带有关细胞类型的信息。