Publication | Open Access
An Efficient Single-Cell RNA-Seq Approach to Identify Neoantigen-Specific T Cell Receptors
97
Citations
39
References
2017
Year
EngineeringT-regulatory CellImmunologyImmunoeditingTranscriptomics TechnologyCd4 T Cell ResponsesImmunotherapeuticsImmune Cell TherapyImmunotherapyT CellsTrajectory AnalysisTumor BiologyTumor ImmunologySingle Cell SequencingTumor ImmunityCell TransplantationPaired Tcr SequencesImmunoengineeringSingle-cell GenomicsImmune SurveillanceT Cell ImmunityAdoptive TransferGene ExpressionSingle-cell AnalysisCell BiologyCancer ImmunosurveillanceSignal TransductionCellular Immune ResponseSystems BiologyMedicine
The adoptive transfer of neoantigen-reactive tumor-infiltrating lymphocytes (TILs) can result in tumor regression in patients with metastatic cancer. To improve the efficacy of adoptive T cell therapy targeting these tumor-specific mutations, we have proposed a new therapeutic strategy, which involves the genetic modification of autologous T cells with neoantigen-specific T cell receptors (TCRs) and the transfer of these modified T cells back to cancer patients. However, the current techniques to isolate neoantigen-specific TCRs are labor intensive, time consuming, and technically challenging, not suitable for clinical applications. To facilitate this process, a new approach was developed, which included the co-culture of TILs with tandem minigene (TMG)-transfected or peptide-pulsed autologous antigen-presenting cells (APCs) and the single-cell RNA sequencing (RNA-seq) analysis of T cells to identify paired TCR sequences associated with cells expressing high levels of interferon-γ (IFN-γ) and interleukin-2 (IL-2). Following this new approach, multiple TCRs were identified, synthesized, cloned into a retroviral vector, and then transduced into donor T cells. These transduced T cells were shown to specifically recognize the neoantigens presented by autologous APCs. In conclusion, this approach provides an efficient procedure to isolate neoantigen-specific TCRs for clinical applications, as well as for basic and translational research.
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