Abstract
Identification of antigenic peptides recognized by T cells is important for understanding and treatingimmune related diseases. Current cytometry-based approaches are limited to simultaneous screening of T cell reactivity towards 10-100 distinct peptide specificities, which poorly match the large diversity of T cell recognition in humans. Consequently it has been impossible to comprehensively analyze T cell responsiveness in cancer, infectious and autoimmune diseases. We present and validate a novel technology that enables parallel detection of numerous different peptide-MHC responsive T cells in asingle sample using >1000 different peptide-MHC multimers labeled with individual DNA barcodes. After isolation of MHC multimer binding T cells their recognition are revealed by amplification and sequencing of the MHC multimer-associated DNA barcodes. The relative frequency of the sequenced DNA barcodes originating from a given peptide-MHC motif relates to the size of the antigenresponsive T cell population. We have demonstrated the use of large panels of >1000 DNA barcoded MHC multimers for detection of rare T cell populations of virus and cancer-restricted origin in various tissues and compared with combinatorial encoding of fluorescent-labeled MHC multimers. Finally, we have demonstrated that this technology can be applied for multiplex T cell detection both in limited biological samples, such as uncultured tumor material, and for simultaneous assessment of target recognition and functional capability of T cells. This technology enables true high-throughput detection of antigen-responsive T cells and will advance our understanding of immune recognition from model antigens to genomewide immune assessments on a personalized basis.
| Original language | English |
|---|---|
| Journal | European Journal of Immunology |
| Volume | 46 |
| Issue number | Suppl. 1 |
| Pages (from-to) | 9-9 |
| ISSN | 0014-2980 |
| Publication status | Published - 2016 |
| Event | ICI 2016 International Congress of Immunology - Melbourne, Australia Duration: 21 Aug 2016 → 26 Aug 2016 |
Conference
| Conference | ICI 2016 International Congress of Immunology |
|---|---|
| Country/Territory | Australia |
| City | Melbourne |
| Period | 21/08/2016 → 26/08/2016 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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