Rapid selection and identification of functional CD8+ T cell epitopes from large peptide-coding libraries

Cytotoxic CD8 + T cells recognize and eliminate infected or malignant cells that present peptide epitopes derived from intracellularly processed antigens on their surface. However, comprehensive profiling of specific major histocompatibility complex (MHC)-bound peptide epitopes that are naturally pr...

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Veröffentlicht in:Nature communications 2019-10, Vol.10 (1), p.4553-13, Article 4553
Hauptverfasser: Sharma, Govinda, Rive, Craig M., Holt, Robert A.
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Sprache:eng
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Zusammenfassung:Cytotoxic CD8 + T cells recognize and eliminate infected or malignant cells that present peptide epitopes derived from intracellularly processed antigens on their surface. However, comprehensive profiling of specific major histocompatibility complex (MHC)-bound peptide epitopes that are naturally processed and capable of eliciting a functional T cell response has been challenging. Here, we report a method for deep and unbiased T cell epitope profiling, using in vitro co-culture of CD8 + T cells together with target cells transduced with high-complexity, epitope-encoding minigene libraries. Target cells that are subject to cytotoxic attack from T cells in co-culture are isolated prior to apoptosis by fluorescence-activated cell sorting, and characterized by sequencing the encoded minigenes. We then validate this highly parallelized method using known murine T cell receptor/peptide-MHC pairs and diverse minigene-encoded epitope libraries. Our data thus suggest that this epitope profiling method allows unambiguous and sensitive identification of naturally processed and MHC-presented peptide epitopes. High-throughput assays for TCR specificity are a bottleneck in understanding T cell immunity and harnessing it for medicine. Here the authors develop a functional screening method to identify T cell specificity in the natural context of peptide-MHC presentation, enabling detection of physiologically relevant T cell antigens from large libraries of peptide-coding sequences.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-019-12444-7