剧目
生物
记忆B细胞
克隆(Java方法)
动力学(音乐)
B细胞
免疫记忆
遗传学
集合(抽象数据类型)
存储单元
计算生物学
B细胞受体
幼稚B细胞
噪音(视频)
免疫系统
持久性(不连续性)
编码
情景记忆
细胞
计算机科学
记忆T细胞
编码(内存)
表型
作者
Andrea Mazzolini,Aleksandra M. Walczak,Thierry Mora
标识
DOI:10.1073/pnas.2528141123
摘要
Our adaptive immune system relies on the persistence over long times of a diverse set of antigen-experienced B cells to encode our memories of past infections and to protect us against future ones. While longitudinal repertoire sequencing promises to track the long-term dynamics of many B cell clones simultaneously, sampling and experimental noise make it hard to draw reliable quantitative conclusions. Leveraging statistical inference, we infer the dynamics of memory B cell clonal dynamics and conversion to plasmablasts, which includes clone creation, degradation, abundance fluctuations, and differentiation. We find that memory B cell clones degrade slowly, with a half-life of 10 y. Based on the inferred parameters, we predict that it takes about 50 y to renew 50% of the repertoire, with most observed clones surviving for a lifetime. We infer that, on average, 1 out of 100 memory B cells differentiates into a plasmablast each year, more than expected from purely antigen-stimulated differentiation, and that plasmablast clones degrade with a half-life of about one year in the absence of memory imports. Our method is general and could be applied to other longitudinal repertoire sequencing B cell subsets.
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