Citation: Shujun Liu, Wenfeng Xu, Pengfei Jin, Li-Li Huang. Real-time monitoring of virus infection dynamics in established infection models for mechanism analysis[J]. Chinese Chemical Letters, ;2026, 37(4): 111076. doi: 10.1016/j.cclet.2025.111076 shu

Real-time monitoring of virus infection dynamics in established infection models for mechanism analysis

Shujun Liu ^a ,
Wenfeng Xu ^b ,
Pengfei Jin ^{b, *,} ,
Li-Li Huang ^{a, c, *,}

a.
School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
b.
Department of Pharmacy, Beijing Hospital, National Center of Gerontology, Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
c.
Tangshan Research Institute, Beijing Institute of Technology, Tangshan 063000, China

j790101@163.com

llhuang@bit.edu.cn

Received Date: 18 January 2025
Revised Date: 7 March 2025
Accepted Date: 12 March 2025
Available Online: 13 March 2025

Figures(13)

Understanding the mechanisms of virus infection is pivotal for the effective prevention and treatment of viral diseases. This review provides a comprehensive overview of the latest advancements in real-time monitoring of viral dynamics within established infection models. We begin by summarizing the recent progress in fluorescent probe and labeling techniques for real-time and in situ virus tracking. Next, we provide an in-depth analysis of the types and characteristics of virus infection models and discuss their respective advantages and limitations in virus tracking. Finally, we detail the recent progress in viral dynamics tracking across different infection models, illustrating how to use these models to monitor virus infection dynamics and discussing the meaningful biological information that can be acquired.
- Virus labeling,
- Fluorescent probe,
- Dynamic tracing,
- Virus infection models,
- Infection mechanisms
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