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Updated: Jun 27, 2025

Streamlined Single Cell TCR Isolation and Generation of Retroviral Vectors for In Vitro and In Vivo Expression of Human TCRs
Published on: September 10, 2017
Advances in preclinical TCR characterization: leveraging cell avidity to identify functional TCRs
Andreas Carr1, Laura M Mateyka1, Sebastian J C Scheu1
19184 Institute for Medical Microbiology, Immunology and Hygiene, School of Medicine and Health, Technical University of Munich , Munich, Germany.
Abstract:
T-cell therapy has emerged as an effective approach for treating viral infections and cancers. However, a significant challenge is the selection of T-cell receptors (TCRs) that exhibit the desired functionality. Conventionally in vitro techniques, such as peptide sensitivity measurements and cytotoxicity assays, provide valuable insights into TCR potency but are labor-intensive. In contrast, measuring ligand binding properties (z-Movi technology) could provide an accelerated processing while showing robust correlations with T-cell functions. In this study, we assessed whether cell avidity can predict functionality also in the context of TCR-engineered T cells. To this end, we developed a flexible system for TCR re-expression by generating a Jurkat-derived T cell clone lacking TCR and CD3 expression through CRISPR-Cas9-mediated TRBC knockout. The knockin of a transgenic TCR into the TRAC locus restored TCR/CD3 expression, allowing for CD3-based purification of TCR-engineered T cells. Subsequently, we characterized these engineered cell lines by functional readouts, and assessment of binding properties through the z-Movi technology. Our findings revealed a strong correlation between the cell avidities and functional sensitivities of Jurkat TCR-T cells. Altogether, by integrating cell avidity measurements with our versatile T cell engineering platform, we established an accelerated system for enhancing the in vitro selection of clinically relevant TCRs.
Insights
Cell avidity, measured by z-Movi technology, accurately predicts T-cell receptor (TCR) functionality. This finding accelerates the selection of effective TCRs for T-cell therapies against infections and cancers.
Area of Science:
- Immunology and Cell Therapy
- Molecular Biology and Genetic Engineering
Background:
- T-cell therapy shows promise for viral infections and cancers.
- Selecting functional T-cell receptors (TCRs) is crucial but challenging.
- Traditional functional assays are labor-intensive and time-consuming.
Purpose of the Study:
- To evaluate if cell avidity can predict T-cell receptor functionality.
- To develop an accelerated system for selecting clinically relevant TCRs.
Main Methods:
- Generated a TCR-deficient Jurkat T-cell clone using CRISPR-Cas9.
- Engineered Jurkat cells for transgenic TCR re-expression via knockin.
- Assessed cell avidity using z-Movi technology and correlated with functional readouts.
Main Results:
- Demonstrated a flexible platform for TCR re-expression and purification.
- Observed a strong correlation between cell avidity and functional sensitivity in engineered T-cells.
- Validated cell avidity as a predictive measure for TCR potency.
Conclusions:
- Cell avidity measurements can effectively predict T-cell receptor functionality.
- Integrated cell avidity assays with a T-cell engineering platform accelerate TCR selection.
- This approach enhances the identification of clinically relevant TCRs for immunotherapy.
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