T cell receptor contact to restricting MHC molecules is a prerequisite for peripheral interclonal T cell competition
Bibliographic record
Abstract
T cell survival and homeostatic proliferation in the periphery requires T cell receptor (TCR) binding to restricting major histocompatability complex (MHC)-encoded molecules, as well as the availability of certain lymphokines. However, the exact mechanisms by which these signals interrelate and contribute to homeostasis are not understood. By performing T cell transfers into TCR transgenic hosts we detected a hierarchical order of homeostatic proliferation for T cells differing in MHC restriction, such that OT1 cells (K(b) restricted) proliferated in P14 (D(b)-restricted TCR) recipients, but not vice versa. Using K(b) mutant mice, we demonstrated that proliferation of OT1 cells in P14 recipients, as well as the ability of host OT1 cells to hinder the proliferation of donor P14 cells, were dependent on OT1-TCR binding to K(b) molecules. However, interclonal T cell competition was not mediated simply by competition for physical access to the MHC-bearing cell. This was shown in parabiotic pairs of OT1 and K(b) mutant mice in which P14 cells failed to proliferate, even though the OT1 cells could not interact with half of the APCs in the system. Thus, we conclude that the interaction between the TCR and restricting MHC molecule influences the ability to compete for trophic resources not bound to the stimulating APC. This mechanism allows a local competitiveness that extends beyond a T cell's specificity.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".