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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
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Kinetic Proofreading through Parallel Reactions on a Single T Cell Receptor.
Biorxiv : the Preprint Server for Biology
|June 12, 2025
Summary
T cells use a multi-thread kinetic proofreading model for antigen discrimination, unlike previous sequential models. This parallel processing enhances T cell receptor (TCR) signaling fidelity.
Area of Science:
- Immunology
- Biophysics
- Computational Biology
Background:
- T cells distinguish cognate antigens from non-cognate ligands through T cell receptor (TCR) binding dwell time.
- Kinetic proofreading models, typically sequential, explain TCR-mediated antigen discrimination.
- Existing models do not fully incorporate TCR activation's molecular features like ITAM multiplicity and LAT condensation.
Purpose of the Study:
- To investigate an alternative kinetic proofreading mechanism for TCR activation.
- To model TCR signaling using parallel reaction sequences (multi-thread scheme) and compare it to sequential models.
- To re-evaluate experimental data in light of the proposed multi-thread model.
Main Methods:
- Development and analysis of a revised kinetic proofreading model incorporating parallel reaction threads and an integration step.
- Stochastic simulations to compare the performance of multi-thread and sequential models.
- Reinterpretation of published experimental observations on TCR signaling.
Main Results:
- The multi-thread kinetic proofreading model, featuring parallel ITAM domain activation and LAT condensation, enhances discrimination fidelity.
- This parallel mechanism overcomes limitations of sequential models, such as the need for fine-tuned kinetics.
- The multi-thread scheme effectively explains previously observed TCR proofreading behaviors.
Conclusions:
- TCR activation likely involves a multi-thread kinetic proofreading mechanism, not solely sequential reactions.
- Parallel processing through ITAM multiplicity and LAT condensation significantly boosts TCR signaling fidelity.
- This revised model provides a more accurate framework for understanding T cell antigen recognition.
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