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用量子点标记囊膜杆状病毒的核衣壳,实现单病毒跟踪。

Labeling the nucleocapsid of enveloped baculovirus with quantum dots for single-virus tracking.

机构信息

Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), College of Chemistry and Molecular Sciences, State Key Laboratory of Virology, and Wuhan Institute of Biotechnology, Wuhan University, Wuhan 430072, PR China.

State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, PR China.

出版信息

Biomaterials. 2014 Feb;35(7):2295-301. doi: 10.1016/j.biomaterials.2013.11.069. Epub 2013 Dec 17.

Abstract

Utilization of quantum dots (QDs) for single-virus tracking is highly important for understanding virus infection mechanism. However, QD labeling site of real enveloped viruses has been confined to the external envelope so far, causing the impossibility to monitor the late infection events after the loss of envelope. Herein, a strategy to label the internal nucleocapsid of enveloped virus with QDs was proposed. The nucleocapsid of enveloped baculovirus was self-biotinylated during virus replication process in host cells and subsequently labeled with streptavidin-conjugated QDs (SA-QDs). Such host cell-assisted QD labeling was proved to be reliable, specific, efficient and capable of maintaining virus infectivity. Based on such labeling, critical infection events before and after the envelope loss were monitored in real time, including single virus interacting with late endosomes and the subsequent nucleocapsid transporting into cell nucleus. Thus our established QD labeling of enveloped virus nucleocapsid with QDs enables the comprehensive single-virus tracking for deeply understanding virus infection mechanism.

摘要

利用量子点(QDs)对单个病毒进行跟踪对于理解病毒感染机制非常重要。然而,迄今为止,真正的包膜病毒的 QD 标记位点仅限于外部包膜,从而无法监测包膜丢失后晚期感染事件。本研究提出了一种用 QD 标记包膜病毒内部核衣壳的策略。包膜杆状病毒的核衣壳在宿主细胞中复制过程中会发生自身生物素化,随后用链霉亲和素偶联的 QD(SA-QD)进行标记。这种基于宿主细胞的 QD 标记被证明是可靠、特异、高效的,并且能够保持病毒感染力。基于这种标记方法,可以实时监测包膜丢失前后的关键感染事件,包括单个病毒与晚期内体的相互作用,以及随后的核衣壳向细胞核的转运。因此,我们建立的用 QD 标记包膜病毒核衣壳的方法可以实现对单个病毒的全面跟踪,从而深入理解病毒感染机制。

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