Automated TCR Peptide Library Instrumentation
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Solution Overview
Problem
Current methods for identifying specific antigens for T-cell receptors (TCRs) in high-throughput systems are cumbersome and require prior information about the TCR target, limiting their effectiveness due to the diversity of major histocompatibility complexes and T-cells.
Innovation Solution
The development of automated multi-module instruments and multiplexed methods for producing cell surface display libraries using genomic editing technologies, allowing for the expression and display of engineered peptides on cell surfaces, enabling the identification of TCR-antigen binding through multiplexed nuclease-directed genome editing and nucleic acid-directed nucleases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional techniques such as HPLC are used to identify TCR targets, then measurement precision can be achieved, but the process becomes lengthy and cumbersome, reducing productivity
Solution Approach 1:
The patent segments the antigen identification process into parallel tracks by creating multiple cell libraries, each displaying different peptide antigens. This allows simultaneous screening of numerous antigens across different cell populations rather than sequentially testing each antigen individually, thereby dramatically increasing throughput while maintaining identification accuracy through systematic organization of the screening process
Solution Approach 2:
The invention transitions from a single-dimensional sequential screening approach to a multi-dimensional parallel screening system. By organizing antigens into different cell library dimensions and using multiplexed detection methods, the system can evaluate multiple antigens simultaneously across different spatial and temporal dimensions, resolving the contradiction between precision and productivity
2Productivity
If high-throughput systems are used to screen TCR targets, then productivity increases, but the complexity of the system increases, making it more difficult to operate
Solution Approach 1:
The patent implements self-service through the use of fluorescently labeled TCRs that automatically bind to and display against their specific peptide antigens. The system performs its own screening function through the natural binding affinity between TCRs and peptides, eliminating the need for complex manual intervention or sophisticated automated sorting mechanisms, thus maintaining ease of operation while achieving high throughput
Solution Approach 2:
The invention employs fluorescent labeling that produces detectable color/light changes when TCRs bind to their target peptides. This visual signal provides immediate feedback on binding events, simplifying the detection and scoring processes without requiring complex electronic detection systems or sophisticated data analysis, thereby maintaining operational simplicity while enabling high-throughput screening
3Adaptability or versatility
If a diverse library of peptide antigens is created to address TCR diversity, then adaptability improves, but the complexity of managing and processing the library increases
Solution Approach 1:
The patent divides the diverse peptide library into separate, organized cell library populations, where each library is dedicated to displaying a specific set of peptide antigens. This segmentation allows the system to manage diversity through structured organization rather than as a monolithic complex, reducing the cognitive and operational burden of library management while maintaining comprehensive coverage of TCR antigen diversity
Solution Approach 2:
The invention creates a universal screening platform where the same basic cell library construction and fluorescent TCR binding assay can be applied across multiple peptide libraries. This multi-functional approach allows the system to handle diverse antigen sets using standardized protocols and reagents, reducing the complexity of managing diversity through reuse of core methodologies rather than requiring specialized handling for each peptide type
Data Source
AI summary
The present disclosure provides instrumentation and automated methods for creating cell surface display libraries, where the cells of the library display engineered peptides on their cell surfaces for identification of antigens that bind to T-cell receptors. The engineered peptides may be putative antigens or binding regions of the T-cell receptors.