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

  • Amalie Kai Bentzen
  • , Andrea Marion Marquard
  • , Rikke Birgitte Lyngaa
  • , Sunil Kumar Saini
  • , S. R. Andersen
  • , M. Donia
  • , I. M. Svane
  • , P. thor Straten
  • , Zoltan Imre Szallasi
  • , S. N. Jakobsen
  • , Aron Charles Eklund
  • , Sine Reker Hadrup
    • Copenhagen University Hospital Herlev and Gentofte
    • Immudex ApS
    • Technical University of Denmark

    Research output: Contribution to journalConference abstract in journalResearchpeer-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 screeningof T cell reactivity towards 10-100 distinct peptide specificities, which poorly match the large diversityof T cell recognition in humans. Consequently it has been impossible to comprehensively analyze Tcell responsiveness in cancer, infectious and autoimmune diseases. We present and validate a noveltechnology 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 andsequencing of the MHC multimer-associated DNA barcodes. The relative frequency of the sequencedDNA barcodes originating from a given peptide-MHC motif relates to the size of the antigenresponsiveT cell population. We have demonstrated the use of large panels of >1000 DNA barcodedMHC multimers for detection of rareT cell populations of virus and cancer-restricted origin in various tissues and compared withcombinatorial encoding of fluorescent-labeled MHC multimers. Finally, we have demonstrated that thistechnology can be applied for multiplex T cell detection both in limited biological samples, such asuncultured tumor material, and for simultaneous assessment of target recognition and functionalcapability of T cells. This technology enables true high-throughput detection of antigen-responsiveT cells and will advance our understanding of immune recognition from model antigens to genomewideimmune assessments on a personalized basis.
    Original languageEnglish
    Article number1831
    JournalEuropean Journal of Immunology
    Volume46
    Issue numberS1
    Pages (from-to)8-8
    Number of pages1
    ISSN0014-2980
    DOIs
    Publication statusPublished - 2016
    Event ICI 2016 International Congress of Immunology - Melbourne, Australia
    Duration: 21 Aug 201626 Aug 2016

    Conference

    Conference ICI 2016 International Congress of Immunology
    Country/TerritoryAustralia
    CityMelbourne
    Period21/08/201626/08/2016

    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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