Differential impact of the transcriptional repressor Gfi1 on mature CD4<sup>+</sup> and CD8<sup>+</sup> T lymphocyte function
Bibliographic record
Abstract
The transcriptional repressor Gfi1 is a nuclear zinc-finger protein that is expressed in T cell precursors in the thymus, but is down-regulated in mature, resting T cells. Gfi1 expression rises transiently to levels seen in thymocytes upon antigenic activation. We show here that lack of Gfi1 causes delayed cell cycle entry and apoptosis after antigenic stimulation in both mature CD4+ and CD8+ T cells ex vivo. DNA micro-array analysis demonstrated that this correlated with an up-regulation of the death receptor CD95, the proapoptotic factors Bad and Apaf1 and the cell cycle inhibitor p21, and a down-regulation of Bcl-2 expression in Gfi1-/- T cells. Surprisingly, while Gfi1-deficient CD4+ T cells showed the same defective behavior in vivo, Gfi1-deficient CD8+ T cells showed no aberration in vivo and were fully able to mount an anti-viral immune response. This indicates that Gfi1 exerts different functions in CD4+ and CD8+ T cells very likely by maintaining different genetic programs in both cell types, and appears to be essential for the CD4 helper T cell immune response but dispensable for the function of cytotoxic CD8+ T cells.
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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 | 0.000 |
| 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".