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Visualization of the African swine fever virus infection in living cells by incorporation into the virus particle of green fluorescent protein-p54 membrane protein chimera

机译:通过将绿色荧光蛋白-p54膜蛋白嵌合体掺入病毒颗粒中,可视化非洲猪瘟病毒在活细胞中的感染

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Many stages of African swine fever virus infection have not yet been studied in detail. To track the behavior of African swine fever virus (ASFV) in the infected cells in real time, we produced an infectious recombinant ASFV (B54GFP-2) that expresses and incorporates into the virus particle a chimera of the p54 envelope protein fused to the enhanced green fluorescent protein (EGFP). The incorporation of the fusion protein into the virus particle was confirmed immunologically and it was determined that p54-EGFP was fully functional by confirmation that the recombinant virus made normal-sized plaques and presented similar growth curves to the wild-type virus. The tagged virus was visualized as individual fluorescent particles during the first stages of infection and allowed to visualize the infection progression in living cells through the viral life cycle by confocal microscopy. In this work, diverse potential applications of B54GFP-2 to study different aspects of ASFV infection are shown. By using this recombinant virus it was possible to determine the trajectory and speed of intracellular virus movement. Additionally, we have been able to visualize for first time the ASFV factory formation dynamics and the cytophatic effect of the virus in live infected cells. Finally, we have analyzed virus progression along the infection cycle and infected cell death as time-lapse animations. (c) 2006 Elsevier Inc. All rights reserved.
机译:尚未详细研究非洲猪瘟病毒感染的许多阶段。为了实时跟踪非洲猪瘟病毒(ASFV)在受感染细胞中的行为,我们生产了一种传染性重组ASFV(B54GFP-2),该重组ASFV表达并整合到病毒颗粒中的p54包膜蛋白的嵌合体与增强子融合在一起。绿色荧光蛋白(EGFP)。免疫学上证实了融合蛋白掺入病毒颗粒中,并通过确认重组病毒形成了正常大小的噬菌斑并呈现出与野生型病毒相似的生长曲线,从而确定了p54-EGFP是完全功能性的。标记的病毒在感染的最初阶段可视化为单个荧光颗粒,并通过共聚焦显微镜在整个病毒生命周期内可视化活细胞中的感染进展。在这项工作中,显示了B54GFP-2在研究ASFV感染的不同方面方面的各种潜在应用。通过使用这种重组病毒,可以确定细胞内病毒移动的轨迹和速度。此外,我们已经能够首次可视化ASFV工厂形成动态和病毒在活感染细胞中的细胞吞噬作用。最后,我们分析了病毒在感染周期中的进展情况以及受感染的细胞死亡情况,并将其作为延时动画。 (c)2006 Elsevier Inc.保留所有权利。

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