IFN-gamma Limits Peripheral T cell Expansion of Extrathymic T cells. (89.18)
Bibliographic record
Abstract
Abstract When overexpressed under the p56Lck proximal promotor, Oncostatin M induces extrathymic T cell development in the lymph nodes. During LCMV infection, extrathymic (ET) T cells produce copious amounts of IFN-γ and their expansion is precocious but of limited amplitude because of early apoptosis. Moreover, ET T cells show significant apoptosis in uninfected mice. Hence, we sought to understand why ET T cells are more susceptible to apoptosis than thymic T cells. We found that the mitochondrial apoptotic pathway is likely involved in apoptosis of CD4+ ET T cells because of lower Il-7Rα and Bcl-2 levels compared to thymic T cells. In contrast, this deficit was not seen in CD8+ ET T cells. However, CD8+ ET T cells displayed higher Fas and active caspase 8 expression indicating apoptosis via the death receptor pathway. Moreover, we found that ET T cells and thymic T cells in homeostatic peripheral expansion (HPE) shared many similarities: memory phenotype, accelerated turnover and increased susceptibility to apoptosis. Moreover, spontaneous IFN-γ secretion by CD8+ ET T cells leading to massive accumulation in sera was observed. Finally, we found that CD8+ T cell survival was restored during HPE induced with ifngR−/−T cells as well as in ifng−/−ET T cells compared to IFN-γ-responsive T cells. Taken together, these results show that IFN-γ regulates apoptosis of ET T cells T cells in HPE and thereby limits their accumulation in vivo.
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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) | 0.003 | 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".