Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, United States.
Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, United States.
Front Immunol. 2019 Jul 31;10:1516. doi: 10.3389/fimmu.2019.01516. eCollection 2019.
Although structural studies of individual T cell receptors (TCRs) have revealed important roles for both the α and β chain in directing MHC and antigen recognition, repertoire-level immunogenomic analyses have historically examined the β chain alone. To determine the amount of useful information about TCR repertoire function encoded within αβ pairings, we analyzed paired TCR sequences from nearly 100,000 unique CD4 and CD8 T cells captured using two different high-throughput, single-cell sequencing approaches. Our results demonstrate little overlap in the healthy CD4 and CD8 repertoires, with shared TCR sequences possessing significantly shorter CDR3 sequences corresponding to higher generation probabilities. We further utilized tools from information theory and machine learning to show that while α and β chains are only weakly associated with lineage, αβ pairings appear to synergistically drive TCR-MHC interactions. Vαβ gene pairings were found to be the TCR feature most informative of T cell lineage, supporting the existence of germline-encoded paired αβ TCR-MHC interaction motifs. Finally, annotating our TCR pairs using a database of sequences with known antigen specificities, we demonstrate that approximately a third of the T cells possess α and β chains that each recognize different known antigens, suggesting that αβ pairing is critical for the accurate inference of repertoire functionality. Together, these findings provide biological insight into the functional implications of αβ pairing and highlight the utility of single-cell sequencing in immunogenomics.
尽管对单个 T 细胞受体 (TCR) 的结构研究揭示了 α 和 β 链在指导 MHC 和抗原识别方面的重要作用,但在免疫基因组学分析中,历史上仅研究了 β 链。为了确定 TCR 库功能在 αβ 配对中编码的有用信息量,我们分析了使用两种不同高通量单细胞测序方法捕获的近 100,000 个独特的 CD4 和 CD8 T 细胞的配对 TCR 序列。我们的结果表明,健康的 CD4 和 CD8 库之间几乎没有重叠,共享的 TCR 序列具有明显更短的 CDR3 序列,对应更高的生成概率。我们进一步利用信息论和机器学习工具来证明,尽管 α 和 β 链仅与谱系弱相关,但 αβ 配对似乎协同地驱动 TCR-MHC 相互作用。发现 Vαβ 基因对是最能说明 T 细胞谱系的 TCR 特征,支持存在胚系编码的配对的 αβ TCR-MHC 相互作用基序。最后,使用具有已知抗原特异性的序列数据库注释我们的 TCR 对,我们证明大约三分之一的 T 细胞具有各自识别不同已知抗原的 α 和 β 链,这表明 αβ 配对对于准确推断库功能至关重要。这些发现为 αβ 配对的功能影响提供了生物学见解,并强调了单细胞测序在免疫基因组学中的应用。