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Efficient ex vivo analysis of CD4+ T-cell responses using combinatorial HLA class II tetramer staining

Author

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  • Hannes Uchtenhagen

    (Benaroya Research Institute at Virginia Mason, Translational Research Program
    Neuroimmunology Unit, Solna, Karolinska Institutet, Karolinska University Hospital)

  • Cliff Rims

    (Benaroya Research Institute at Virginia Mason, Translational Research Program)

  • Gabriele Blahnik

    (Benaroya Research Institute at Virginia Mason, Diabetes Program)

  • I-Ting Chow

    (Benaroya Research Institute at Virginia Mason, Diabetes Program)

  • William W. Kwok

    (Benaroya Research Institute at Virginia Mason, Diabetes Program
    University of Washington)

  • Jane H. Buckner

    (Benaroya Research Institute at Virginia Mason, Translational Research Program)

  • Eddie A. James

    (Benaroya Research Institute at Virginia Mason, Diabetes Program and Tetramer Core Laboratory)

Abstract

MHC tetramers are an essential tool for characterizing antigen-specific CD4+ T cells. However, their ex vivo analysis is limited by the large sample requirements. Here we demonstrate a combinatorial staining approach that allows simultaneous characterization of multiple specificities to address this challenge. As proof of principle, we analyse CD4+ T-cell responses to the seasonal influenza vaccine, establishing a frequency hierarchy and examining differences in memory and activation status, lineage commitment and cytokine expression. We also observe cross-reactivity between an established epitope and recent variant and provide a means for probing T-cell receptor cross-reactivity. Using cord blood samples, we correlate the adult frequency hierarchy with the naive precursor frequencies. Last, we use our combinatorial staining approach to demonstrate that rheumatoid arthritis patients on therapy can mount effective responses to influenza vaccination. Together, these results demonstrate the utility of combinatorial tetramer staining and suggest that this approach may have broad applicability in human health and disease.

Suggested Citation

  • Hannes Uchtenhagen & Cliff Rims & Gabriele Blahnik & I-Ting Chow & William W. Kwok & Jane H. Buckner & Eddie A. James, 2016. "Efficient ex vivo analysis of CD4+ T-cell responses using combinatorial HLA class II tetramer staining," Nature Communications, Nature, vol. 7(1), pages 1-12, November.
  • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12614
    DOI: 10.1038/ncomms12614
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    Cited by:

    1. Eddie A. James & V. Michael Holers & Radhika Iyer & E. Barton Prideaux & Navin L. Rao & Cliff Rims & Virginia S. Muir & Sylvia E. Posso & Michelle S. Bloom & Amin Zia & Serra E. Elliott & Julia Z. Ada, 2023. "Multifaceted immune dysregulation characterizes individuals at-risk for rheumatoid arthritis," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Katharina Wild & Maike Smits & Saskia Killmer & Shirin Strohmeier & Christoph Neumann-Haefelin & Bertram Bengsch & Florian Krammer & Martin Schwemmle & Maike Hofmann & Robert Thimme & Katharina Zoldan, 2021. "Pre-existing immunity and vaccine history determine hemagglutinin-specific CD4 T cell and IgG response following seasonal influenza vaccination," Nature Communications, Nature, vol. 12(1), pages 1-15, December.

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