The zinc finger protein and transcriptional repressor Gfi1 as a regulator of the innate immune response
Bibliographic record
Abstract
Gfi1 is a transcriptional repressor with a molecular weight between 47 and 55kDa. The protein has six C-terminal C(2)H(2)-type zinc finger domains and a characteristic stretch of 20 amino acids, called the SNAG-domain, at its N-terminus. Expression of Gfi1 ranges from the hematopoietic and lymphoid system to sensory epithelia, lung and parts of the CNS. Gene knockout studies revealed that Gfi1 is essential for the development of granulocytes and plays a role in macrophage-dependent cytokine production, indicating that this protein shares the responsibility for different lines of defense against pathogens. Strikingly, Gfi1-deficient mice are highly sensitive to both endotoxin and bacterial infections and die rapidly after an experimental application of endotoxin or induction of infection with symptoms of septic shock. This sensitivity is mediated by an overproduction of tumor necrosis factor (TNF) and other inflammatory cytokines. The lung could be identified as the principal organ in which the accelerated inflammatory reactions take place in challenged Gfi1-deficient mice. Several lines of experimental evidence support a role of Gfi1 as a regulator of the Toll-like receptor (TLR) pathways, and, in general, as an essential modulator preventing an overshooting of the inflammatory response.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".