Related Experiment Video
Updated: Aug 27, 2025

08:52
Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes
Published on: July 26, 2019
8.2K
Influenza vaccination features revealed by a single-cell transcriptome atlas
Yi Wang1, Xiaoxia Wang2, Xinbei Jia3
1Experimental Research Center, Capital Institute of Pediatrics, Beijing, P. R. China.
Journal of Medical Virology
|September 27, 2022
Summary
Influenza vaccination minimally alters immune cell counts but globally changes gene expression, particularly in B cells, to enhance antibody production. Immune responses return to baseline levels within 14 days post-vaccination.
Area of Science:
- Immunology
- Virology
- Genomics
Background:
- Emerging viruses like influenza present ongoing global health challenges.
- Vaccination is a key strategy, but single-cell immune responses to influenza vaccines are not fully understood.
Purpose of the Study:
- To create a single-cell transcriptome atlas of peripheral immune responses to inactivated influenza vaccination.
- To elucidate the detailed immunological mechanisms following influenza immunization.
Main Methods:
- Longitudinal collection of peripheral blood mononuclear cells (PBMCs) from individuals receiving influenza vaccine.
- Single-cell RNA sequencing to analyze transcriptomic changes across immune cell subsets.
Main Results:
- Influenza vaccination induced significant global transcriptomic changes in multiple immune cell subsets, especially B cells, impacting antibody production and differentiation.
- A transient reduction in interferon response, inflammatory response, and cytotoxicity was observed 7 days post-vaccination, returning to baseline by 14 days.
- No significant upregulation of pro-inflammatory or thrombosis-related genes was detected.
Conclusions:
- Influenza vaccination elicits a complex, dynamic peripheral immune response at the single-cell level.
- This study provides a valuable resource for understanding the immunological mechanisms of influenza vaccines and guiding future vaccine development.
Keywords:
immunological responsesinfluenza vaccinesingle-cell analysistranscriptional landscapevaccination
