Cell Biology Techniques in COVID-19 Vaccine Developments
Research Article
Open Access
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Cell Biology Techniques in COVID-19 Vaccine Developments

Shiyu Xie 1*
1 Oregon Episcopal School
*Corresponding author: xies@go.oes.edu
Published on 13 August 2025
Journal Cover
TNS Vol.124
ISSN (Print): 2753-8826
ISSN (Online): 2753-8818
ISBN (Print): 978-1-80590-271-3
ISBN (Online): 978-1-80590-272-0
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Abstract

With the outbreak of the COVID-19 pandemic, the SARS-CoV-2 virus began to spread rapidly, posing an unprecedented challenge to global public health. In the battle against the virus, the rapid development of vaccines and cell biology techniques has played a key role. They have enabled researchers to identify potential vaccine targets based on the cellular characteristics of the virus, thereby accelerating the vaccine development process. Currently, mRNA vaccines and viral vector vaccines have been put into use around the world, but they still face some technical challenges, especially long-term efficacy and immune escape. This paper analyzes the application of cell biology techniques in the development of COVID-19 vaccines and discusses the latest research progress from traditional cell culture techniques to mRNA and viral vector technologies. The research not only provides valuable references for future vaccine development but also reveals the shortcomings of current technologies in long-term immunity and production efficiency. Future research can further optimize these technologies, especially in the areas of vaccine scalability and immune responses.

Keywords:

COVID-19 vaccines, Cell biology techniques, mRNA vaccines.

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Xie,S. (2025). Cell Biology Techniques in COVID-19 Vaccine Developments. Theoretical and Natural Science,124,41-47.

References

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Cite this article

Xie,S. (2025). Cell Biology Techniques in COVID-19 Vaccine Developments. Theoretical and Natural Science,124,41-47.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICBioMed 2025 Symposium: AI for Healthcare: Advanced Medical Data Analytics and Smart Rehabilitation

ISBN: 978-1-80590-271-3(Print) / 978-1-80590-272-0(Online)
Editor: Alan Wang
Conference date: 17 October 2025
Series: Theoretical and Natural Science
Volume number: Vol.124
ISSN: 2753-8818(Print) / 2753-8826(Online)