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An antigen is any substance the immune system identifies as foreign and potentially harmful to the body, prompting an immune response. Antigens have two functional properties: immunogenicity and reactivity. Immunogenicity is the ability of an antigen to stimulate a specific immune response. At the same time, reactivity describes the antigen's ability to react with the cells and antibodies produced in response to it.
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Deep mapping of the TCR-antigen interface using pMHC-pseudotyped viruses and yeast display.

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    VelociRAPTR, a new method, rapidly screens millions of T cell receptor (TCR) interactions with antigens. It maps how TCR sequences influence antigen recognition, aiding T cell therapy development and predicting off-target effects.

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    Area of Science:

    • Immunology
    • Molecular Biology
    • Biotechnology

    Background:

    • T cell receptor (TCR) specificity is crucial for effective T cell therapies.
    • Current methods for mapping TCR-antigen interactions lack scalability.
    • Understanding TCR sequence-function relationships is vital for therapeutic development.

    Purpose of the Study:

    • To develop a scalable method for mapping TCR specificity against diverse antigens.
    • To investigate how TCR sequence variations, particularly in CDR3 loops, affect antigen recognition.
    • To generate deep, high-throughput data on TCR-antigen interactions for engineering and predictive modeling.

    Main Methods:

    • Introduction of VelociRAPTR, a library-on-library screening approach.
    • Utilizing yeast-displayed TCR libraries and peptide-MHC displaying virus-like particles (pMHC-VLPs).
    • Simultaneous screening of millions of TCR variants against multiple pMHCs, including mutations in CDR3 loops and peptides.

    Main Results:

    • pMHC-VLPs demonstrated efficient binding to yeast-displayed TCRs, yielding data comparable to recombinant pMHC proteins.
    • VelociRAPTR successfully screened 47 million TCR variants against 92 pMHCs.
    • Generated detailed CDR3-pMHC maps revealing how CDR3 loop mutations modulate specificity, enabling selective constraint or broadening of recognition.

    Conclusions:

    • VelociRAPTR provides a generalizable strategy for high-throughput protein-protein interaction mapping.
    • The generated maps offer insights for engineering TCRs with tailored pMHC binding profiles.
    • This approach enhances models for predicting TCR-antigen interactions and off-target recognition in T cell therapies.