Impaired myelopoiesis in mice lacking the repressors of translation initiation, 4E‐BP1 and 4E‐BP2
Bibliographic record
Abstract
We investigated the role of two repressors of translation initiation in granulocytic differentiation using mice with a null mutation in the 4E-BP1 gene or with a null mutation in the 4E-BP2 gene. We show that 4E-BP1(-/-) and 4E-BP2(-/-) mice exhibit an increased number of immature granulocytic precursors, associated with a decreased number of mature granulocytic elements compared with wild-type mice, which is suggestive of an impaired granulocytic differentiation. Clonogenetic analyses revealed a reduced number of granulocytic colonies and concomitant increase in granulo-monocytic colonies in 4E-BP(-/-) mice. Finally, a slight expansion of monocytic cells was observed in the 4E-BP2(-/-) mice. In contrast, we did not observe any significant difference in thymocyte maturation in these mice. These results, together with the fact that 4E-BPs are markedly induced during granulo-monocytic differentiation of myeloid cells in vitro, highlight the pivotal role of 4E-BP1 and 4E-BP2 in the early phases of myelopoiesis. These results represent the first in vivo evidence of the involvement of translation in the early phases of granulo-monocytic differentiation and further extend the role of translation in haematopoietic differentiation.
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".