TNFR1 delivers pro‐survival signals that are required for limiting TNFR2‐dependent activation‐induced cell death (AICD) in CD8<sup>+</sup> T cells
Bibliographic record
Abstract
Members of the TNF and TNF receptor (TNFR) superfamily play important roles in the maintenance of homeostasis of the immune system. Furthermore, several members of the TNFR family participate in T-cell activation and sustaining T-cell responses. We have shown that TNFR2 regulates T-cell activation by lowering the activation threshold and providing costimulatory signaling. Furthermore, activated TNFR2(-/-) CD8(+) T cells are highly resistant to activation-induced cell death (AICD). Here, we showed that using anti-TNFR2 antibodies to block TNFR2 on activated WT CD8(+) T cells rendered them resistant to AICD. This resistance of activated TNFR2(-/-) CD8(+) T cells to AICD correlated with the accumulation of TNF receptor-associated factor 2 (TRAF2). Overexpression of TRAF2 by retroviral transfection and knockdown of TRAF2 by small interfering RNA also support this conclusion. Furthermore, neutralizing TNF-α reduced TRAF2 accumulation in activated TNFR2(-/-) CD8(+) T cells and increased their susceptibility to AICD. AICD-resistant TNFR2(-/-) CD8(+) T cells expressed elevated levels of phosphorylated IκBα and higher DNA-binding activity of the p65 NK-κB subunit and neutralization of TNF-α blocked this increase. Therefore, in activated TNFR2(-/-) CD8(+) T cells, TNFR1 functions as a survival receptor by utilizing high intracellular levels of TRAF2 to promote IκBα phosphorylation and NF-κB activation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 teacher head, 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".