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Learning the sequence of influenza A genome assembly during viral replication using point process models and fluorescence in situ hybridization

机译:使用点过程模型和荧光原位杂交学习病毒复制过程中甲型流感病毒基因组装配的序列

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摘要

Within influenza virus infected cells, viral genomic RNA are selectively packed into progeny virions, which predominantly contain a single copy of 8 viral RNA segments. Intersegmental RNA-RNA interactions are thought to mediate selective packaging of each viral ribonucleoprotein complex (vRNP). Clear evidence of a specific interaction network culminating in the full genomic set has yet to be identified. Using multi-color fluorescence in situ hybridization to visualize four vRNP segments within a single cell, we developed image-based models of vRNP-vRNP spatial dependence. These models were used to construct likely sequences of vRNP associations resulting in the full genomic set. Our results support the notion that selective packaging occurs during cytoplasmic transport and identifies the formation of multiple distinct vRNP sub-complexes that likely form as intermediate steps toward full genomic inclusion into a progeny virion. The methods employed demonstrate a statistically driven, model based approach applicable to other interaction and assembly problems.
机译:在感染流感病毒的细胞中,病毒基因组RNA被选择性地包装到子代病毒体中,后者主要包含8个病毒RNA片段的单个副本。段间RNA-RNA相互作用被认为可以介导每个病毒核糖核蛋白复合物(vRNP)的选择性包装。特定相互作用网络最终形成完整基因组的清晰证据尚未确定。使用多色荧光原位杂交可视化单个细胞内的四个vRNP段,我们开发了基于图像的vRNP-vRNP空间依赖性模型。这些模型用于构建可能的vRNP关联序列,从而产生完整的基因组集。我们的研究结果支持在细胞质运输过程中发生选择性包装的观点,并确定了多个不同的vRNP亚复合物的形成,这些亚复合物很可能形成为将基因组完全纳入子代病毒体的中间步骤。所采用的方法证明了适用于其他交互和装配问题的基于统计的基于模型的驱动方法。

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