Stoichiometry and intracellular fate of TRIM-containing TCR complexes
Bibliographic record
Abstract
BACKGROUND: Studying the stoichiometry and intracellular trafficking of the T cell antigen receptor (TCR) is pivotal in understanding its mechanisms of activation. The alphabetaTCR includes the antigen-binding TCRalphabeta heterodimer as well as the signal transducing CD3epsilongamma, CD3epsilondelta and zeta2 subunits. Although the TCR-interacting molecule (TRIM) is also part of the alphabetaTCR complex, it has not been included in most reports so far. RESULTS: We used the native antibody-based mobility shift (NAMOS) assay in a first dimension (1D) blue native (BN)-PAGE and a 2D BN-/BN-PAGE to demonstrate that the stoichiometry of the digitonin-solublized TRIM-containing alphabetaTCR is TCRalphabetaCD3epsilon2gammadeltazeta2TRIM2. Smaller alphabetaTCR complexes possess a TCRalphabeta CD3epsilon2gammadeltazeta2 stoichiometry. Complexes of these sizes were detected in T cell lines as well as in primary human and mouse T cells. Stimulating the alphabetaTCR with anti-CD3 antibodies, we demonstrate by confocal laser scanning microscopy that CD3epsilon colocalizes with zeta and both are degraded upon prolonged stimulation, possibly within the lysosomal compartment. In contrast, a substantial fraction of TRIM does not colocalize with zeta. Furthermore, TRIM neither moves to lysosomes nor is degraded. Immunoprecipitation studies and BN-PAGE indicate that TRIM also associates with the gammadeltaTCR. CONCLUSIONS: Small alphabetaTCR complexes have a TCRalphabeta CD3epsilon2gammadeltazeta2 stoichiometry; whereas those associated with one TRIM dimer are TCRalphabeta CD3epsilon2gammadeltazeta2TRIM2. TRIM is differentially processed compared to CD3 and zeta subunits after T cell activation and is not degraded. The gammadeltaTCR also associates with TRIM.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".