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首页> 外文期刊>PLoS Computational Biology >Model-based analysis of influenza A virus replication in genetically engineered cell lines elucidates the impact of host cell factors on key kinetic parameters of virus growth
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Model-based analysis of influenza A virus replication in genetically engineered cell lines elucidates the impact of host cell factors on key kinetic parameters of virus growth

机译:基于模型的甲型流感病毒在基因工程细胞系中复制的分析阐明了宿主细胞因子对病毒生长关键动力学参数的影响

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Author summary Influenza viruses depend on cellular functions at every step of their life cycle and a comprehensive picture of virus-host cell interactions is the key to understand influenza disease and establish antiviral therapies. Over the past decade, this was supported by numerous screening approaches, which identified cellular factors relevant for intracellular virus replication. Ideally, the identification of pro-viral targets should also support the generation of cell lines to optimize influenza virus replication in cell cultures. As a first approach towards this goal, we used a mathematical model to identify mechanisms of viral growth that would be most promising targets for host cell factor manipulation. Based on predictions, we expected a significant increase in virus production if RNA synthesis and virus assembly and virus budding were perturbed, which was partially confirmed by cell lines overexpressing single and multiple selected host cell factors. However, the cell-specific productivity of engineered cell lines was not improved significantly and, according to model-based analysis, this can be explained by adverse changes in kinetic parameters of intracellular replication steps. Finally, results indicate that screening approaches should focus on late time points post infection to identify targets for engineering of cell lines that support high-yield vaccine production processes.
机译:作者摘要流感病毒在生命周期的每个阶段都依赖于细胞功能,全面了解病毒与宿主细胞的相互作用是了解流感疾病和建立抗病毒疗法的关键。在过去的十年中,这得到了众多筛选方法的支持,这些方法确定了与细胞内病毒复制相关的细胞因子。理想情况下,前病毒靶标的鉴定也应支持细胞系的产生,以优化流感病毒在细胞培养物中的复制。作为实现此目标的第一种方法,我们使用数学模型来确定病毒生长的机制,这将是宿主细胞因子操纵的最有希望的目标。根据预测,如果RNA合成,病毒装配和病毒出芽受到干扰,我们预计病毒产量将显着增加,这部分被过表达单个和多个选定宿主细胞因子的细胞系部分证实。然而,工程细胞系的细胞特异性生产力没有显着提高,并且根据基于模型的分析,这可以通过细胞内复制步骤的动力学参数的不利变化来解释。最后,结果表明,筛选方法应集中于感染后的晚期时间点,以鉴定支持高产量疫苗生产过程的细胞系工程化目标。

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