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

J Immunol Methods

Department of Research and Development, Shenzhen Institute for Innovation and Translational Medicine, Shenzhen International Biological Valley-Life Science Industrial Park, Dapeng New District, Shenzhen, China; Shenzhen Innovation Immunotechnology Co., Ltd. Shenzhen International Biological Valley-Life Science Industrial Park, Dapeng New District, Shenzhen, China.. Electronic address:

Published: May 2022

T-cell receptor (TCR)-transduced T (TCR-T) cell therapy has shown promising efficacy in the clinical treatment of malignant cancers. However, the populations covered by reported TCRs are still limited. Tumor infiltrating lymphocytes (TILs) are natural reservoirs of tumor-reactive T cells and TCRs. Approaches are required for the fast and cost-effective identification of tumor-reactive TCRs from TILs. The widely employed TCR identification approaches by the clonal expansion of TILs involve a TCR singularization process for the direct pairing of TCR Vα and the Vβ chain. However, the clonal expansion of T cells is well known to require extensive time and effort due to the involvement of T cell cultures. Several single-cell multiplexing PCR methods followed by Sanger sequencing have been developed, representing a cost-effective and fast approach for single-cell TCR identification. In this study, an RNA-based preamplification step was included in the single-cell TCR sequencing, which can reduce the multiplexing PCR amplification to one round. Moreover, the cDNA product of RNA preamplification is derived from the whole genome mRNA, instead of TCR mRNA only by multiplexing primers-based DNA preamplification, which is valuable for many other analyses (e.g., phenotypic analysis) of the tumor-reactive T cells that can be correlated with the identified TCRs. The feasibility for both single α chain and dual α chain TILs of this approach highlights its potential value as a rapid and cost-effective sequencing strategy for the development of TCR-T therapies for solid cancers.

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http://dx.doi.org/10.1016/j.jim.2022.113260DOI Listing

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