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Updated: Aug 9, 2025

Visualizing Antigen Specific CD4+ T Cells using MHC Class II Tetramers
Published on: March 6, 2009
A universal MHCII technology platform to characterize antigen-specific CD4+ T cells
Rohit Vyasamneni1, Victoria Kohler1, Binisha Karki1
1BioNTech US, Inc., 40 Erie Street, Cambridge, MA 02139, USA.
Insights
A new platform enables rapid, high-throughput identification of CD4+ T cells, preserving their phenotype for better understanding of immune responses in health and disease. This technology aids in characterizing antigen-specific CD4+ T cells for personalized immunotherapies.
Area of Science:
- Immunology
- Cell Biology
Background:
- CD4+ T cells are vital for immune function, but existing methods struggle to preserve their ex vivo phenotype, limiting in vivo function insights.
- Understanding CD4+ T cell characteristics is crucial for both health and disease research.
Purpose of the Study:
- To develop a flexible, rapid, and robust platform for ex vivo CD4+ T cell identification, immunophenotyping, and sorting.
- To enable high-throughput, personalized CD4+ T cell analysis.
Main Methods:
- Combines MHCII allele purification, allele-independent peptide loading, and multiplexed flow cytometry.
- Utilizes single-cell sorting and multimodal analyses.
Main Results:
- Successfully identified and characterized antigen-specific CD4+ T cells relevant to COVID-19 and cancer neoantigen immunotherapy.
- Demonstrated a platform for high-throughput personalized CD4+ T cell identification and immunophenotyping.
Conclusions:
- The developed platform offers a significant advancement for detecting and characterizing CD4+ T cells across various diseases.
- This technology has the potential to guide CD4+ T cell epitope design for future immunization strategies.
Abstract:
CD4+ T cells are critical to the immune system and perform multiple functions; therefore, their identification and characterization are crucial to better understanding the immune system in both health and disease states. However, current methods rarely preserve their ex vivo phenotype, thus limiting our understanding of their in vivo functions. Here we introduce a flexible, rapid, and robust platform for ex vivo CD4+ T cell identification. By combining MHCII allele purification, allele-independent peptide loading, and multiplexed flow cytometry technologies, we can enable high-throughput personalized CD4+ T cell identification, immunophenotyping, and sorting. Using this platform in combination with single-cell sorting and multimodal analyses, we identified and characterized antigen-specific CD4+ T cells relevant to COVID-19 and cancer neoantigen immunotherapy. Overall, our platform can be used to detect and characterize CD4+ T cells across multiple diseases, with potential to guide CD4+ T cell epitope design for any disease-specific immunization strategy.
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