The role of the transcriptional repressor growth factor independent 1 in the formation of myeloid cells
Bibliographic record
Abstract
PURPOSE OF REVIEW: Growth factor independent 1 (Gfi1) is a transcriptional repressor that plays multiple roles during myeloid commitment and development. Gfi1-deficient mice lack granulocytes, accumulate aberrant monocytes and show a hyperactivity of macrophages toward bacterial cell wall components. Since these initial findings, numerous additional studies have confirmed the role of Gfi1 in myeloid differentiation from hematopoietic stem cells and multipotent progenitors to bipotential lymphoid/myeloid precursors and myeloid effector cells. This review will summarize the existing knowledge concerning the mechanisms through which Gfi1 exerts these actions and will highlight recent insights into its additional implication in myeloid malignancies. RECENT FINDINGS: Gfi1 has more recently been implicated in myeloid malignancies, in particular in myelodysplasia, myeloproliferative neoplasms and in acute myeloid leukemia, a fatal disease, which is essentially treated today the same way as 30 years ago. SUMMARY: Recent findings on the role of Gfi1 in myeloid malignancies together with the knowledge base built over many years on this molecule may help us to find new ways to predict the progression of acute myeloid leukemia and to design more efficient epigenetic drugs to treat this disease.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".