Weakly self‐reactive T‐cell clones can homeostatically expand when present at low numbers
Bibliographic record
Abstract
T‐cell division is central to maintaining a stable T‐cell pool in adults. It also enables T‐cell expansion in neonates, and after depletion by chemotherapy, bone marrow transplantation, or infection. The same signals required for T‐cell survival in lymphoreplete settings, IL‐7 and T‐cell receptor (TCR) interactions with self‐peptide MHC (pMHC), induce division when T‐cell numbers are low. The strength of reactivity for self‐pMHC has been shown to correlate with the capacity of T cells to undergo lymphopenia‐induced proliferation (LIP), in that weakly self‐reactive T cells are unable to divide, implying that T‐cell reconstitution would significantly skew the TCR repertoire toward TCRs with greater self‐reactivity and thus compromise T‐cell diversity. Here, we show that while CD4+ T cells with low self‐pMHC reactivity experience more intense competition, they are able to divide when present at low enough cell numbers. Thus, at physiological precursor frequencies CD4+ T cells with low self‐pMHC reactivity are able to contribute to the reconstitution of the T‐cell pool.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".