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病毒在细胞内生长的动力学建模。

Kinetic Modeling of Virus Growth in Cells.

机构信息

Department of Chemical and Biological Engineering, Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin, USA

Department of Chemical and Biological Engineering, Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin, USA.

出版信息

Microbiol Mol Biol Rev. 2018 Mar 28;82(2). doi: 10.1128/MMBR.00066-17. Print 2018 Jun.

Abstract

When a virus infects a host cell, it hijacks the biosynthetic capacity of the cell to produce virus progeny, a process that may take less than an hour or more than a week. The overall time required for a virus to reproduce depends collectively on the rates of multiple steps in the infection process, including initial binding of the virus particle to the surface of the cell, virus internalization and release of the viral genome within the cell, decoding of the genome to make viral proteins, replication of the genome, assembly of progeny virus particles, and release of these particles into the extracellular environment. For a large number of virus types, much has been learned about the molecular mechanisms and rates of the various steps. However, in only relatively few cases during the last 50 years has an attempt been made-using mathematical modeling-to account for how the different steps contribute to the overall timing and productivity of the infection cycle in a cell. Here we review the initial case studies, which include studies of the one-step growth behavior of viruses that infect bacteria (Qβ, T7, and M13), human immunodeficiency virus, influenza A virus, poliovirus, vesicular stomatitis virus, baculovirus, hepatitis B and C viruses, and herpes simplex virus. Further, we consider how such models enable one to explore how cellular resources are utilized and how antiviral strategies might be designed to resist escape. Finally, we highlight challenges and opportunities at the frontiers of cell-level modeling of virus infections.

摘要

当病毒感染宿主细胞时,它会劫持细胞的生物合成能力来产生病毒后代,这个过程可能需要不到一个小时,也可能需要一周以上。病毒繁殖所需的总时间取决于感染过程中多个步骤的速率,包括病毒粒子与细胞表面的初始结合、病毒内化以及病毒基因组在细胞内的释放、基因组解码以产生病毒蛋白、基因组复制、后代病毒粒子的组装以及这些粒子释放到细胞外环境中。对于大量的病毒类型,人们已经了解了许多关于分子机制和各种步骤的速率。然而,在过去的 50 年中,只有相对较少的情况下,人们尝试使用数学建模来解释不同步骤如何共同影响细胞感染周期的整体时间和效率。在这里,我们回顾了最初的案例研究,包括研究感染细菌的病毒(Qβ、T7 和 M13)、人类免疫缺陷病毒、流感 A 病毒、脊髓灰质炎病毒、水疱性口炎病毒、杆状病毒、乙型和丙型肝炎病毒以及单纯疱疹病毒的一步生长行为。此外,我们还考虑了这些模型如何使人们能够探索细胞资源如何被利用,以及抗病毒策略如何设计以抵抗逃逸。最后,我们强调了在病毒感染的细胞水平建模的前沿的挑战和机遇。

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