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量化 T 淋巴细胞更新。

Quantifying T lymphocyte turnover.

机构信息

Theoretical Biology & Bioinformatics, Utrecht University, The Netherlands; Santa Fe Institute, Santa Fe, NM 87501, USA.

出版信息

J Theor Biol. 2013 Jun 21;327:45-87. doi: 10.1016/j.jtbi.2012.12.025. Epub 2013 Jan 9.

Abstract

Peripheral T cell populations are maintained by production of naive T cells in the thymus, clonal expansion of activated cells, cellular self-renewal (or homeostatic proliferation), and density dependent cell life spans. A variety of experimental techniques have been employed to quantify the relative contributions of these processes. In modern studies lymphocytes are typically labeled with 5-bromo-2'-deoxyuridine (BrdU), deuterium, or the fluorescent dye carboxy-fluorescein diacetate succinimidyl ester (CFSE), their division history has been studied by monitoring telomere shortening and the dilution of T cell receptor excision circles (TRECs) or the dye CFSE, and clonal expansion has been documented by recording changes in the population densities of antigen specific cells. Proper interpretation of such data in terms of the underlying rates of T cell production, division, and death has proven to be notoriously difficult and involves mathematical modeling. We review the various models that have been developed for each of these techniques, discuss which models seem most appropriate for what type of data, reveal open problems that require better models, and pinpoint how the assumptions underlying a mathematical model may influence the interpretation of data. Elaborating various successful cases where modeling has delivered new insights in T cell population dynamics, this review provides quantitative estimates of several processes involved in the maintenance of naive and memory, CD4(+) and CD8(+) T cell pools in mice and men.

摘要

外周 T 细胞群体通过在胸腺中产生幼稚 T 细胞、激活细胞的克隆扩增、细胞自我更新(或稳态增殖)以及密度依赖性细胞寿命来维持。已经采用了多种实验技术来量化这些过程的相对贡献。在现代研究中,淋巴细胞通常用 5-溴-2'-脱氧尿苷 (BrdU)、氘或荧光染料羧基-荧光素二乙酸琥珀酰亚胺酯 (CFSE) 标记,通过监测端粒缩短和 T 细胞受体切除环 (TREC) 或染料 CFSE 的稀释来研究其分裂历史,并且通过记录抗原特异性细胞群体密度的变化来记录克隆扩增。根据 T 细胞产生、分裂和死亡的潜在速率对这些数据进行正确解释被证明是非常困难的,并且涉及数学建模。我们回顾了为每种技术开发的各种模型,讨论了哪些模型最适合哪种类型的数据,揭示了需要更好模型的开放性问题,并指出了数学模型的基本假设如何影响数据的解释。通过详细阐述建模在 T 细胞群体动力学中提供新见解的各种成功案例,本综述提供了几种涉及维持小鼠和人类中幼稚和记忆、CD4(+) 和 CD8(+) T 细胞池的过程的定量估计。

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Quantifying T lymphocyte turnover.量化 T 淋巴细胞更新。
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