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单病毒示踪
引用本文:王志刚,刘书琳,刘安安,张利娟,余聪,庞代文.单病毒示踪[J].化学进展,2021,33(1):13-24.
作者姓名:王志刚  刘书琳  刘安安  张利娟  余聪  庞代文
作者单位:1 南开大学药物化学生物学国家重点实验室 化学学院 分析科学研究中心 医学院 天津市生物传感及分子识别重点实验室 天津 300071
2 武汉大学化学与分子科学学院 分析科学研究中心 武汉 430072
基金项目:国家自然科学基金项目(No.21877102,21977054,91859123,91953107)资助。
摘    要:病毒是对人类健康威胁最大的病原之一,由其引发的病毒性疾病对人民健康、国家安全和社会经济构成重大威胁。病毒感染机制研究对病毒性疾病的防控及治疗具有重大意义。病毒侵染宿主细胞的动态过程涉及病毒组分与多种细胞组分或细胞器间复杂的相互作用,但是传统手段无法对该动态过程进行实时跟踪研究。单病毒示踪技术作为一种可以实时原位示踪单颗病毒侵染过程的技术,在病毒感染机制研究方面起着愈来愈重要的作用。借助于该技术,能够获取病毒侵染过程中病毒入胞途径、胞内转运过程、病毒核酸释放及其与细胞间的相互作用等动态过程信息,从而对病毒的感染机制进行分子水平的深入研究。本文就单病毒示踪技术所涉及的测量技术、标记技术和信息获取进行阐述,总结归纳了单病毒示踪在病毒感染机制研究中的最新进展,并探讨了该技术目前存在的挑战性问题以及未来发展的方向。

关 键 词:病毒  示踪  测量  标记  感染  机制  
收稿时间:2020-10-27
修稿时间:2020-11-18

Single-Virus Tracking
Zhi-Gang Wang,Shu-Lin Liu,An-An Liu,Li-Juan Zhang,Cong Yu,Dai-Wen Pang.Single-Virus Tracking[J].Progress in Chemistry,2021,33(1):13-24.
Authors:Zhi-Gang Wang  Shu-Lin Liu  An-An Liu  Li-Juan Zhang  Cong Yu  Dai-Wen Pang
Institution:1 Key Laboratory of Medicinal Chemistry Biology, College of Chemistry, Research Center for Analytical Sciences, School of Medicine, Tianjin Key Laboratory of Biosensing and Molecular Recognition, Nankai University, Tianjin 300071, China
2 College of Chemistry and Molecular Sciences, Research Center of Analytical Sciences, Wuhan University,Wuhan 430072, China
Abstract:Viruses are one of the biggest threats to human health, and the outbreak of viral diseases not only poses a great threat to human health and national security, but also causes great losses to the social economy. Uncovering the mechanisms of virus infection is crucial for preventing the spread of viruses and treating viral diseases. The dynamic process of virus infection in host cells involves intricate interactions between viral components and cellular structures or organelles, but conventional methods lack the ability to acquire dynamic information on individual viruses during the infection process. Single-virus tracking(SVT) technique is a powerful approach for studying the real-time and in-situ dynamics of viral processes in live cells and it plays an increasingly important role in the study of viral infection mechanism. SVT allows researchers to obtain the dynamic information on individual viruses during the infection process, including viral entry, trafficking, and genome release, which is meaningful to study the infection mechanisms on the molecular level. In this article, we first discuss the measurement techniques, viral labeling strategies and data analysis methods for SVT, then summarize a couple of applications of SVT and finally propose the challenges and future possibilities of the SVT technique.
Keywords:virus  tracking  measurement  labeling  infection  mechanism
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