Develop and validate DNA-barcode labelled MHCII multimers for detection of antigen-specific CD4 T cells displayed towards large libraries of epitopes 4185

Abstract Description Here we demonstrate the method for broad-scale detection of antigen-specific CD4 T cells. We have established a protocol for MHCII production and peptide exchange (pMHCII complexes), which are multimerized on DNA barcode- and fluorophore-labelled dextrane backbone to detect CD4 T cells. We demonstrate that antigen-specific T cell populations can be identified by amplifying the co-attached barcode by sorting the MHCII-multimer binding CD4 T cell population and that such signals correlate with the CD4 T cell population identified based on fluorescence-labeled MHC II multimers. We demonstrate that individual T cell populations can be identified, with a peptide-MHC II panel consisting of 151 peptides derived from Flu, EBV, HCMV, and HCV loaded on DRB1*01:01 and DRB1*01:04. We could detect T cell populations at frequencies down to 0.001% of all CD4 T cells. Low-frequency responses were validated using peptide-driven expansion of antigen-specific CD4 T cells. This methodology was applied to identify MHC-II epitopes in HCV, recognized by CD4 T cells. Using PBMC samples from a patient cohort previously tested for CD4 functional reactivity to HCV-derived 20mer peptides, we identified 15 minimal epitopes within such sequences, presented in DRB1*01:01 and DRB1*04:01, being recognized by CD4 T cells in these donors. This method will enable detailed analysis of CD4 T cell-specific immune interactions, revealing antigen-driven links between CD4 and CD8 responses in health and disease. Funding Sources Janssen Collaboration Topic Categories Technological Innovations in Immunology (TECH)

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Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.1898
Primary Topic
vaccines and immunoinformatics approaches
Type
article
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article

Develop and validate DNA-barcode labelled MHCII multimers for detection of antigen-specific CD4 T cells displayed towards large libraries of epitopes 4185

Georg M. Lauer, Yogesh Basavaraju, Suzan Dijkstra, Sine Reker Hadrup et al.
The Journal of Immunology
vaccines and immunoinformatics approaches
article

Develop and validate DNA-barcode labelled MHCII multimers for detection of antigen-specific CD4 T cells displayed towards large libraries of epitopes 4185

Georg M. Lauer, Yogesh Basavaraju, Suzan Dijkstra, Sine Reker Hadrup, Tripti Tamhane, Lawrence J. Stern, Liying Lu, Signe K. Skadborg, William W. Kwok
article en

Abstract

Abstract Description Here we demonstrate the method for broad-scale detection of antigen-specific CD4 T cells. We have established a protocol for MHCII production and peptide exchange (pMHCII complexes), which are multimerized on DNA barcode- and fluorophore-labelled dextrane backbone to detect CD4 T cells. We demonstrate that antigen-specific T cell populations can be identified by amplifying the co-attached barcode by sorting the MHCII-multimer binding CD4 T cell population and that such signals correlate with the CD4 T cell population identified based on fluorescence-labeled MHC II multimers. We demonstrate that individual T cell populations can be identified, with a peptide-MHC II panel consisting of 151 peptides derived from Flu, EBV, HCMV, and HCV loaded on DRB1*01:01 and DRB1*01:04. We could detect T cell populations at frequencies down to 0.001% of all CD4 T cells. Low-frequency responses were validated using peptide-driven expansion of antigen-specific CD4 T cells. This methodology was applied to identify MHC-II epitopes in HCV, recognized by CD4 T cells. Using PBMC samples from a patient cohort previously tested for CD4 functional reactivity to HCV-derived 20mer peptides, we identified 15 minimal epitopes within such sequences, presented in DRB1*01:01 and DRB1*04:01, being recognized by CD4 T cells in these donors. This method will enable detailed analysis of CD4 T cell-specific immune interactions, revealing antigen-driven links between CD4 and CD8 responses in health and disease. Funding Sources Janssen Collaboration Topic Categories Technological Innovations in Immunology (TECH)

The Journal of ImmunologyVol. 214(Supplement_1)
UMass Memorial Health Care (US), Harvard University (US), University of Massachusetts Chan Medical School (US), Massachusetts General Hospital (US), UMass Memorial Medical Center (US), Benaroya Research Institute, Technical University of Denmark (DK)
Openalex Percentile: Top 68%
vaccines and immunoinformatics approaches
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