Antigen-Specific TCR Identification via Single-Cell Sorting
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Solution Overview
Problem
Current methods for matching T cell receptor (TCR) sequences with antigen specificity are laborious, non-quantitative, and often only identify one or two T cell populations per HLA genotype due to limited sensitivity, making it challenging to analyze TCR antigen specificity at the single-cell level effectively.
Innovation Solution
A method involving the use of an MHC display moiety with antigenic peptides and unique polynucleotide barcode sequences attached to particles, allowing for the isolation of antigen-specific T cells through fluorescence-activated cell sorting (FACS) or microfluidic devices, followed by amplification and sequencing of TCRα and TCRβ sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional methods are used for matching TCR sequences with antigen specificity, then the process can be completed, but it is laborious and non-quantitative
Solution Approach 1:
The patent segments the T cell population into individual single cells for analysis. By isolating and analyzing one T cell at a time using single-cell sorting techniques, the method enables high-throughput processing of many cells while maintaining the ability to obtain quantitative data on TCR-antigen matching at the single-cell level, thereby resolving the contradiction between productivity and operational complexity.
Solution Approach 2:
The patent introduces barcoded particles as an intermediary element that bridges the T cell and the detection system. These particles carry unique barcodes that allow quantitative tracking and identification of antigen-specific T cells, transforming the laborious traditional matching process into an automated, high-throughput quantitative assay.
2Quantity of substance
If traditional methods are used for identifying T cell populations, then some T cells can be identified, but only one or two T cell populations per HLA genotype are identified due to limited sensitivity
Solution Approach 1:
The patent replaces traditional mechanical/manual methods of T cell identification with fluorescence-activated cell sorting (FACS) and microfluidic devices. This substitution enables automated, high-precision detection with enhanced sensitivity, allowing the identification of many more T cell populations per HLA genotype while maintaining accurate measurement of antigen specificity at the single-cell level.
3Measurement precision
If single-cell level analysis is performed, then detailed TCR antigen specificity can be obtained, but current methods are laborious and non-quantitative
Solution Approach 1:
The patent implements continuous high-throughput single-cell analysis by automating the sorting and analysis process. Using FACS or microfluidic devices, the system continuously processes many single T cells through the analysis pipeline, maintaining precise measurement of TCR antigen specificity while dramatically increasing productivity compared to traditional discrete, manual methods.
Solution Approach 2:
The patent changes the detection parameters by introducing fluorescent labeling and barcode-based identification systems. These parameter changes enable automated detection and quantification of TCR-antigen interactions at the single-cell level, transforming the analysis from laborious manual procedures to high-throughput automated measurements that maintain high precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the efficient isolation and identification of antigen-specific T cells, facilitating the design of targeted therapies and personalized cancer vaccines by providing a high-throughput approach to pair TCR sequences with specific antigens.
Implementation Method 1
the isolating comprises using fluorescence-activated cell sorting (FACS)
Data Source
AI summary
Compositions and methods for identifying antigen-specific T cells, including determining paired T cell receptor sequences for a specific antigen, are described. Compositions and methods for identifying neoantigen-specific T cells are also described.