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Next-generation detection of antigen-responsive T cells using DNA barcode-labeled peptidemajor histocompatibility complex I multimers

  • Amalie Kai Bentzen
  • , Andrea Marion Marquard
  • , Rikke Birgitte Lyngaa
  • , Sunil Kumar Saini
  • , Malene Rask Andersen
  • , Marco Donia
  • , I. M. Svane
  • , P. Thor Straten
  • , Z. Szallasi
  • , S. N. Jakobsen
  • , A. C. Eklund
  • , Sine Reker Hadrup
    • Immudex ApS
    • Technical University of Denmark
    • Copenhagen University Hospital Herlev and Gentofte

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    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 languageEnglish
    JournalEuropean Journal of Immunology
    Volume46
    Issue numberSuppl. 1
    Pages (from-to)9-9
    ISSN0014-2980
    Publication statusPublished - 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/TerritoryAustralia
    CityMelbourne
    Period21/08/2016 → 26/08/2016

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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