Massively parallel interrogation and mining of natively paired human TCRαβ repertoires

Nat Biotechnol. 2020 May;38(5):609-619. doi: 10.1038/s41587-020-0438-y. Epub 2020 Mar 16.

Abstract

T cells engineered to express antigen-specific T cell receptors (TCRs) are potent therapies for viral infections and cancer. However, efficient identification of clinical candidate TCRs is complicated by the size and complexity of T cell repertoires and the challenges of working with primary T cells. Here we present a high-throughput method to identify TCRs with high functional avidity from diverse human T cell repertoires. The approach used massively parallel microfluidics to generate libraries of natively paired, full-length TCRαβ clones, from millions of primary T cells, which were then expressed in Jurkat cells. The TCRαβ-Jurkat libraries enabled repeated screening and panning for antigen-reactive TCRs using peptide major histocompatibility complex binding and cellular activation. We captured more than 2.9 million natively paired TCRαβ clonotypes from six healthy human donors and identified rare (<0.001% frequency) viral-antigen-reactive TCRs. We also mined a tumor-infiltrating lymphocyte sample from a patient with melanoma and identified several tumor-specific TCRs, which, after expression in primary T cells, led to tumor cell killing.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Antigens / analysis*
  • Cell Engineering
  • Gene Library
  • Humans
  • Jurkat Cells
  • Lymphocytes, Tumor-Infiltrating / immunology
  • Melanoma / immunology
  • Receptors, Antigen, T-Cell, alpha-beta / immunology*
  • T-Lymphocytes / cytology*
  • T-Lymphocytes / immunology
  • Viruses / immunology

Substances

  • Antigens
  • Receptors, Antigen, T-Cell, alpha-beta