定量绘制流感期间的免疫控制图

IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jordan J.A. Weaver, Amber M. Smith
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引用次数: 0

摘要

宿主免疫反应在抵御流感病毒的过程中发挥着关键作用。各种免疫成分(如干扰素、巨噬细胞和 CD8+ T 细胞)的激活可限制病毒传播,同时保持肺部的完整性。最近的数学建模研究对这些反应进行了调查,描述了它们在肺内的调节、功效和运动。在此,我们将讨论这些研究及其重点,即确定不同细胞表型的非线性和多方面作用,这可能是造成空间异质性感染模式的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitatively mapping immune control during influenza

Host immune responses play a pivotal role in defending against influenza viruses. The activation of various immune components, such as interferon, macrophages, and CD8+ T cells, works to limit viral spread while maintaining lung integrity. Recent mathematical modeling studies have investigated these responses, describing their regulation, efficacy, and movement within the lung. Here, we discuss these studies and their emphasis on identifying nonlinearities and multifaceted roles of different cell phenotypes that could be responsible for spatially heterogeneous infection patterns.

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来源期刊
Current Opinion in Systems Biology
Current Opinion in Systems Biology Mathematics-Applied Mathematics
CiteScore
7.10
自引率
2.70%
发文量
20
期刊介绍: Current Opinion in Systems Biology is a new systematic review journal that aims to provide specialists with a unique and educational platform to keep up-to-date with the expanding volume of information published in the field of Systems Biology. It publishes polished, concise and timely systematic reviews and opinion articles. In addition to describing recent trends, the authors are encouraged to give their subjective opinion on the topics discussed. As this is such a broad discipline, we have determined themed sections each of which is reviewed once a year. The following areas will be covered by Current Opinion in Systems Biology: -Genomics and Epigenomics -Gene Regulation -Metabolic Networks -Cancer and Systemic Diseases -Mathematical Modelling -Big Data Acquisition and Analysis -Systems Pharmacology and Physiology -Synthetic Biology -Stem Cells, Development, and Differentiation -Systems Biology of Mold Organisms -Systems Immunology and Host-Pathogen Interaction -Systems Ecology and Evolution
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