Laboratoire de physique théorique et hautes énergies, CNRS and Sorbonne Université, 4 Place Jussieu, 75005 Paris, France.
Laboratoire de physique de l'ENS, CNRS, Sorbonne Université, and École normale supérieure (PSL), 24 rue Lhomond, 75005 Paris, France.
PLoS Comput Biol. 2019 Mar 4;15(3):e1006874. doi: 10.1371/journal.pcbi.1006874. eCollection 2019 Mar.
The T-cell (TCR) repertoire relies on the diversity of receptors composed of two chains, called α and β, to recognize pathogens. Using results of high throughput sequencing and computational chain-pairing experiments of human TCR repertoires, we quantitively characterize the αβ generation process. We estimate the probabilities of a rescue recombination of the β chain on the second chromosome upon failure or success on the first chromosome. Unlike β chains, α chains recombine simultaneously on both chromosomes, resulting in correlated statistics of the two genes which we predict using a mechanistic model. We find that ∼35% of cells express both α chains. Altogether, our statistical analysis gives a complete quantitative mechanistic picture that results in the observed correlations in the generative process. We learn that the probability to generate any TCRαβ is lower than 10(-12) and estimate the generation diversity and sharing properties of the αβ TCR repertoire.
T 细胞(TCR)受体库依赖于由两条链(称为 α 和 β)组成的受体多样性,以识别病原体。使用高通量测序的结果和人类 TCR 受体库的计算链配对实验,我们定量地描述了 αβ 生成过程。我们估计了β链在第一条染色体上失败或成功时在第二条染色体上进行救援重组的概率。与β链不同,α链同时在两条染色体上重组,导致两个基因的相关性统计,我们使用一个机制模型进行预测。我们发现约 35%的细胞表达两条 α 链。总的来说,我们的统计分析给出了一个完整的定量机制图景,导致了在生成过程中观察到的相关性。我们了解到生成任何 TCRαβ 的概率都低于 10(-12),并估计了 αβ TCR 受体库的生成多样性和共享特性。