6533b836fe1ef96bd12a08c8
RESEARCH PRODUCT
Generation of TCR-Engineered T Cells and Their Use To Control the Performance of T Cell Assays
Richard RaeSebastian KreiterNicole BidmonUgur SahinSebastian AttigCedrik M. BrittenH. C. SchröderCécile GouttefangeasTana OmokokoSjoerd H. Van Der BurgPetra SimonAndreas Kuhnsubject
AnalyteT-LymphocytesT cellImmunologyReceptors Antigen T-CellGene ExpressionT-Cell Antigen Receptor SpecificityComputational biologyImmunologic TestsBiologyImmune systemClinical decision makingHLA AntigensmedicineHumansImmunology and AllergyT-cell receptorLimitingmedicine.anatomical_structureImmunologyImmunotherapyProtein MultimerizationSources of errorGenetic EngineeringPeptidesFunction (biology)description
Abstract The systematic assessment of the human immune system bears huge potential to guide rational development of novel immunotherapies and clinical decision making. Multiple assays to monitor the quantity, phenotype, and function of Ag-specific T cells are commonly used to unravel patients’ immune signatures in various disease settings and during therapeutic interventions. When compared with tests measuring soluble analytes, cellular immune assays have a higher variation, which is a major technical factor limiting their broad adoption in clinical immunology. The key solution may arise from continuous control of assay performance using TCR-engineered reference samples. We developed a simple, stable, robust, and scalable technology to generate reference samples that contain defined numbers of functional Ag-specific T cells. First, we show that RNA-engineered lymphocytes, equipped with selected TCRs, can repetitively deliver functional readouts of a controlled size across multiple assay platforms. We further describe a concept for the application of TCR-engineered reference samples to keep assay performance within or across institutions under tight control. Finally, we provide evidence that these novel control reagents can sensitively detect assay variation resulting from typical sources of error, such as low cell quality, loss of reagent stability, suboptimal hardware settings, or inaccurate gating.
year | journal | country | edition | language |
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2015-06-15 | The Journal of Immunology |