Towards multiscale modeling of the CD8+ T cell response to viral infections.

IF 7.9 Q1 Medicine
Subhasish Baral, Rubesh Raja, Pramita Sen, Narendra M Dixit
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引用次数: 14

Abstract

The CD8+ T cell response is critical to the control of viral infections. Yet, defining the CD8+ T cell response to viral infections quantitatively has been a challenge. Following antigen recognition, which triggers an intracellular signaling cascade, CD8+ T cells can differentiate into effector cells, which proliferate rapidly and destroy infected cells. When the infection is cleared, they leave behind memory cells for quick recall following a second challenge. If the infection persists, the cells may become exhausted, retaining minimal control of the infection while preventing severe immunopathology. These activation, proliferation and differentiation processes as well as the mounting of the effector response are intrinsically multiscale and collective phenomena. Remarkable experimental advances in the recent years, especially at the single cell level, have enabled a quantitative characterization of several underlying processes. Simultaneously, sophisticated mathematical models have begun to be constructed that describe these multiscale phenomena, bringing us closer to a comprehensive description of the CD8+ T cell response to viral infections. Here, we review the advances made and summarize the challenges and opportunities ahead. This article is categorized under: Analytical and Computational Methods > Computational Methods Biological Mechanisms > Cell Fates Biological Mechanisms > Cell Signaling Models of Systems Properties and Processes > Mechanistic Models.

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CD8+ T细胞对病毒感染反应的多尺度建模。
CD8+ T细胞反应对病毒感染的控制至关重要。然而,定量定义CD8+ T细胞对病毒感染的反应一直是一个挑战。抗原识别触发细胞内信号级联反应后,CD8+ T细胞可以分化为效应细胞,效应细胞迅速增殖并破坏感染细胞。当感染被清除后,它们会留下记忆细胞,以便在第二次挑战后快速回忆起来。如果感染持续存在,细胞可能会耗尽,在防止严重免疫病理的同时保持对感染的最小控制。这些激活、增殖和分化过程以及效应反应的增加本质上是多尺度和集体现象。近年来,特别是在单细胞水平上,显著的实验进展使几个潜在过程的定量表征成为可能。同时,描述这些多尺度现象的复杂数学模型已经开始构建,使我们更接近于全面描述CD8+ T细胞对病毒感染的反应。在这里,我们回顾了取得的进展,并总结了未来的挑战和机遇。本文分类为:分析与计算方法>计算方法生物学机制>细胞命运生物学机制>系统特性和过程的细胞信号传导模型>机制模型。
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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