Rapid identification of tumor-reactive T-cell receptors by RNA preamplification-based single-cell sequencing

Yipeng Ma1, Fenglan Liu1, Bin Li1

  • 1Department of Research and Development, Shenzhen Institute for Innovation and Translational Medicine, Shenzhen International Biological Valley-Life Science Industrial Park, Dapeng New District, Shenzhen, China.

Insights

This study introduces a rapid, cost-effective method for identifying tumor-reactive T-cell receptors (TCRs) from tumor-infiltrating lymphocytes (TILs). This advance accelerates the development of TCR-T cell therapies for solid cancers.

Area of Science:

  • Immunology
  • Oncology
  • Molecular Biology

Background:

  • T-cell receptor (TCR)-transduced T (TCR-T) cell therapy shows promise for cancer treatment, but the range of identified TCRs is limited.
  • Tumor-infiltrating lymphocytes (TILs) are crucial sources of tumor-reactive T cells and TCRs, necessitating efficient identification methods.
  • Current TCR identification methods, like clonal expansion, are time-consuming and labor-intensive.

Purpose of the Study:

  • To develop a fast and cost-effective strategy for identifying tumor-reactive TCRs from TILs.
  • To improve upon existing single-cell TCR sequencing methods by incorporating an RNA-based preamplification step.
  • To enable broader downstream analyses of tumor-reactive T cells alongside TCR identification.

Main Methods:

  • Incorporation of an RNA-based preamplification step into single-cell TCR sequencing.
  • Reduction of multiplexing PCR amplification to a single round.
  • Utilizing whole-genome mRNA for cDNA synthesis, enabling comprehensive T-cell analysis.

Main Results:

  • The developed method significantly reduces the time and cost associated with TCR identification.
  • RNA preamplification allows for a single round of multiplexing PCR, streamlining the process.
  • cDNA derived from whole-genome mRNA supports additional analyses, such as phenotypic characterization, correlated with identified TCRs.
  • The approach demonstrated feasibility for both single alpha chain and dual alpha chain TILs.

Conclusions:

  • This RNA-based single-cell TCR sequencing strategy offers a rapid and cost-effective solution for identifying tumor-reactive TCRs.
  • The method's ability to facilitate correlated analyses enhances its value for TCR-T cell therapy development.
  • The approach holds significant potential for advancing TCR-T cell therapies targeting solid cancers.