A secreted Tapasin isoform impairs cytotoxic T lymphocyte recognition by disrupting exogenous MHC class I antigen presentation
Bibliographic record
Abstract
Endogenous and exogenous antigen processing and presentation through the MHC class I peptide-loading complex (PLC) are essential for initiating cytotoxic T lymphocyte responses against pathogens and tumors. Tapasin, a key component of the PLC, is produced in multiple isoforms through alternative splicing, each isoform influencing the assembly and stability of MHC class I molecules differently. While the canonical Tapasin isoform plays a critical role in stabilizing MHC class I by facilitating optimal peptide loading in the endoplasmic reticulum (ER), the other isoforms function in distinct ways that impact immune regulation. This study aimed to investigate the role of Tapasin isoforms, particularly soluble isoform 3, in modulating antigen presentation and immune responses, focusing on their effects on MHC class I peptide loading and surface expression. Our findings show that isoforms 1 and 2 stabilize TAP and facilitate efficient peptide loading onto MHC class I in the ER, promoting optimal antigen presentation. In contrast, isoform 3, which lacks both the ER retention signal and the transmembrane domain, is secreted and acts as a negative regulator. Isoform 3 inhibits the loading of exogenous peptides onto MHC class I molecules at the cell surface, thereby playing a critical role in the spatial and temporal regulation of MHC class I antigen presentation. The secreted Tapasin isoform 3 likely regulates immune responses by preventing inappropriate T cell activation and cytotoxicity, which could otherwise lead to immune-mediated tissue damage and contribute to autoimmune disorders. Understanding the distinct functions of Tapasin isoforms provides insights into immune regulation and highlights the importance of fine-tuning peptide-loading processes to ensure proper immune responses and prevent immune-related pathologies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".