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Combined Single-Cell Measurement of Cytokine mRNA and Protein Identifies T Cells with Persistent Effector Function

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Abstract

Effective T cell responses entail the coproduction of IFN-γ, TNF-α, and IL-2. Cytokine production is determined by transcriptional and posttranscriptional events. However, increased transcript levels do not always translate into protein production, and therefore simultaneous transcripts and protein measurement are essential for the appropriate analysis of T cell responses. In this study, we optimized flow cytometry-based fluorescence in situ hybridization (Flow-FISH) for IFN-γ to multicolor flow cytometry that allows for single-cell measurement of mRNA and protein levels. This high-throughput analysis detected Ag-specific human T cells of low frequency. We also employed Flow-FISH for single-tube analysis of IFN-γ transcript and protein profile to simultaneously study the responsiveness of different T cell subsets, that is, naive, effector, and memory T cells. Importantly, the simultaneous transcript and protein analysis of IFN-γ and of TNF-α and IL-2 revealed that T cell responses consist of two types: one subtype loses mRNA expression during activation, whereas the other maintains high transcript levels throughout stimulation. High cytokine transcript levels correlated with increased protein production. Intriguingly, this mRNA(hi)-expressing T cell population also produced higher levels of other cytokines, indicating that Flow-FISH helps identify the best cytokine producers during T cell activation. We conclude that Flow-FISH is a rapid, sensitive, and cost-effective method to determine the quality of T cell responses induced by, for instance, T cell vaccines
Original languageEnglish
Pages (from-to)962-970
JournalJournal of immunology (Baltimore, Md.
Volume198
Issue number2
Early online date2016
DOIs
Publication statusPublished - 2017

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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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