T Cell Antagonism is Functionally Uncoupled from the 21- and 23-kDa Tyrosine-Phosphorylated TCR ζ Subunits
Bibliographic record
Abstract
The functional effects of altered peptide ligands on T cells is proposed to involve differential intracellular signaling mediated by the 21- and 23-kDa tyrosine-phosphorylated derivatives of the TCR zeta subunit (p21 and p23). To understand the functional contribution of p21 and p23 to T cell development and T cell antagonism, we generated selected TCR zeta transgenic mice maintained on the P14 alphabeta TCR transgenic line such that p23 or both p21 and p23 were selectively eliminated. Importantly, one line (YF1,2) retains the constitutively tyrosine-phosphorylated p21 in the complete absence of inducible p23. We determined that T cell development was uncoupled from p21 and/or p23. Using a series of agonist, weak agonist, and antagonist peptides, we analyzed the role of each of the phosphorylated forms of TCR zeta on T cell activation and antagonism. In this study, we report that the proliferative responses of alphabeta P14 T cells to agonist peptides and the inhibition of proliferation resulting from antagonist peptide treatments was functionally uncoupled from p21 and/or p23. These results suggest that the mechanism of T cell antagonism is independent of the two phosphorylated TCR zeta derivatives.
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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) | 0.001 | 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".