IL7 receptor signaling in T cells: A mathematical modeling perspective.

IF 7.9 Q1 Medicine Wiley Interdisciplinary Reviews-Systems Biology and Medicine Pub Date : 2019-09-01 Epub Date: 2019-05-28 DOI:10.1002/wsbm.1447
Jung-Hyun Park, Adam T Waickman, Joseph Reynolds, Mario Castro, Carmen Molina-París
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引用次数: 5

Abstract

Interleukin-7 (IL7) plays a nonredundant role in T cell survival and homeostasis, which is illustrated in the severe T cell lymphopenia of IL7-deficient mice, or demonstrated in animals or humans that lack expression of either the IL7Rα or γ c chain, the two subunits that constitute the functional IL7 receptor. Remarkably, IL7 is not expressed by T cells themselves, but produced in limited amounts by radio-resistant stromal cells. Thus, T cells need to constantly compete for IL7 to survive. How T cells maintain homeostasis and further maximize the size of the peripheral T cell pool in face of such competition are important questions that have fascinated both immunologists and mathematicians for a long time. Exceptionally, IL7 downregulates expression of its own receptor, so that IL7-signaled T cells do not consume extracellular IL7, and thus, the remaining extracellular IL7 can be shared among unsignaled T cells. Such an altruistic behavior of the IL7Rα chain is quite unique among members of the γ c cytokine receptor family. However, the consequences of this altruistic signaling behavior at the molecular, single cell and population levels are less well understood and require further investigation. In this regard, mathematical modeling of how a limited resource can be shared, while maintaining the clonal diversity of the T cell pool, can help decipher the molecular or cellular mechanisms that regulate T cell homeostasis. Thus, the current review aims to provide a mathematical modeling perspective of IL7-dependent T cell homeostasis at the molecular, cellular and population levels, in the context of recent advances in our understanding of the IL7 biology. This article is categorized under: Models of Systems Properties and Processes > Organ, Tissue, and Physiological Models Biological Mechanisms > Cell Signaling Models of Systems Properties and Processes > Mechanistic Models Analytical and Computational Methods > Computational Methods.

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白细胞介素7受体信号在T细胞:一个数学模型的观点。
白细胞介素-7 (IL7)在T细胞存活和稳态中起着非冗余的作用,这在IL7缺陷小鼠的严重T细胞淋巴减少中得到了证明,或者在动物或人类中缺乏IL7Rα或γ c链的表达,这两个亚基构成了功能性IL7受体。值得注意的是,IL7不是由T细胞本身表达的,而是由抗辐射基质细胞产生的。因此,T细胞需要不断竞争IL7才能生存。面对这样的竞争,T细胞如何维持稳态并进一步最大化外周T细胞池的大小是长期以来吸引免疫学家和数学家的重要问题。特殊的是,IL7下调其自身受体的表达,因此IL7信号T细胞不消耗细胞外IL7,因此,剩余的细胞外IL7可以在未信号T细胞中共享。IL7Rα链的这种利他行为在γ c细胞因子受体家族成员中是相当独特的。然而,这种利他信号行为在分子、单细胞和群体水平上的后果尚不清楚,需要进一步研究。在这方面,如何共享有限资源的数学建模,同时保持T细胞库的克隆多样性,可以帮助破译调节T细胞稳态的分子或细胞机制。因此,本文旨在结合我们对IL7生物学的最新了解,从分子、细胞和群体水平上提供IL7依赖性T细胞稳态的数学建模视角。本文分类如下:系统特性和过程模型>器官、组织和生理模型生物机制>系统特性和过程的细胞信号模型>机制模型分析和计算方法>计算方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
18.40
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Journal Name:Wiley Interdisciplinary Reviews-Systems Biology and Medicine Focus: Strong interdisciplinary focus Serves as an encyclopedic reference for systems biology research Conceptual Framework: Systems biology asserts the study of organisms as hierarchical systems or networks Individual biological components interact in complex ways within these systems Article Coverage: Discusses biology, methods, and models Spans systems from a few molecules to whole species Topical Coverage: Developmental Biology Physiology Biological Mechanisms Models of Systems, Properties, and Processes Laboratory Methods and Technologies Translational, Genomic, and Systems Medicine
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