Massively parallel interrogation and mining of natively paired human TCRαβ repertoires

Matthew J Spindler1, Ayla L Nelson1, Ellen K Wagner1

  • 1GigaMune, Inc., South San Francisco, CA, USA.

Insights

We developed a high-throughput method to find T cell receptors (TCRs) with high functional avidity. This approach efficiently identifies rare viral-antigen and tumor-specific TCRs from millions of cells for potential therapies.

Area of Science:

  • Immunology
  • Molecular Biology
  • Biotechnology

Background:

  • T cell receptors (TCRs) engineered to express specific antigens are promising therapies for viral infections and cancer.
  • Identifying clinical-grade TCRs is challenging due to T cell repertoire complexity and difficulties working with primary T cells.

Purpose of the Study:

  • To develop a high-throughput method for identifying T cell receptors (TCRs) with high functional avidity from diverse human T cell repertoires.
  • To enable efficient screening and panning for antigen-reactive TCRs.

Main Methods:

  • Utilized massively parallel microfluidics to generate libraries of natively paired, full-length TCRαβ clones from millions of primary T cells.
  • Expressed TCRαβ clones in Jurkat cells to create libraries for screening.
  • Employed peptide-major histocompatibility complex binding and cellular activation assays for screening and panning.

Main Results:

  • Captured over 2.9 million natively paired TCRαβ clonotypes from six healthy human donors.
  • Identified rare viral-antigen-reactive TCRs (<0.001% frequency).
  • Discovered tumor-specific TCRs from a melanoma patient's tumor-infiltrating lymphocytes, which mediated tumor cell killing upon expression in primary T cells.

Conclusions:

  • The developed high-throughput method enables efficient identification of clinically relevant TCRs with high functional avidity.
  • This approach facilitates the discovery of rare antigen-specific TCRs for potential therapeutic applications in viral infections and cancer.