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Journal article

Large-scale detection of antigen-specific T cells using peptide-MHC-I multimers labeled with DNA barcodes

From

National Veterinary Institute, Technical University of Denmark1

Section for Immunology and Vaccinology, National Veterinary Institute, Technical University of Denmark2

Department of Systems Biology, Technical University of Denmark3

Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark4

Cancer Systems Biology, Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark5

University of Copenhagen6

University College London7

The Francis Crick Institute8

Identification of the peptides recognized by individual T cells is important for understanding and treating immune-related diseases. Current cytometry-based approaches are limited to the simultaneous screening of 10-100 distinct T-cell specificities in one sample. Here we use peptide-major histocompatibility complex (MHC) multimers labeled with individual DNA barcodes to screen >1,000 peptide specificities in a single sample, and detect low-frequency CD8 T cells specific for virus- or cancer-restricted antigens.

When analyzing T-cell recognition of shared melanoma antigens before and after adoptive cell therapy in melanoma patients, we observe a greater number of melanoma-specific T-cell populations compared with cytometry-based approaches. Furthermore, we detect neoepitope-specific T cells in tumor-infiltrating lymphocytes and peripheral blood from patients with non-small cell lung cancer.

Barcode-labeled pMHC multimers enable the combination of functional T-cell analysis with large-scale epitope recognition profiling for the characterization of T-cell recognition in various diseases, including in small clinical samples.

Language: English
Publisher: Nature Publishing Group US
Year: 2016
Pages: 1037-1045
Journal subtitle: Science and Business of Biotechnology
ISSN: 15461696 and 10870156
Types: Journal article
DOI: 10.1038/nbt.3662
ORCIDs: 0000-0003-2928-6017 , Saini, Sunil Kumar , Eklund, Aron Charles , Hadrup, Sine Reker , 0000-0002-4731-4969 , 0000-0002-9451-6037 , Bentzen, Amalie Kai and Andersen, Sofie Ramskov

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