The Survival and Differentiation of Pro-B and Pre-B Cells in the Bone Marrow Is Dependent on IL-7Rα Tyr449
Bibliographic record
Abstract
IL-7 is critical for murine T and B cell development and survival and plays a significant role in lymphoblastic leukemia in both humans and mice. We evaluated the role of the IL-7Rα Tyr(449) cytoplasmic SH2-binding motif in IL-7-mediated B cell development using a knock-in mouse with a Tyr to Phe mutation (IL-7Rα(449F/449F) mouse). IL-7Rα(449F/449F) and IL-7Rα(-/-) mice showed no defect in the number of pre-pro-B cells, although IL-7Rα(449F/449F) mice had decreased Ebf1 in pre-pro-B cells and impairment in B cell-committed CLPs. We identified that IL-7Rα Tyr(449) was critical for both pro-B and pre-B stages of development in the bone marrow. IL-7Rα(449F/449F) and IL-7Rα(-/-) mice had comparable precursor B cell defects, indicating that signaling from the IL-7Rα required this motif. Although the defect in IL-7Rα(449F/449F) pro-B cells was associated with loss of STAT5 activation and diminished expression of Mcl1, this was not rescued by overexpression of Bcl-2. IL-7Rα(449F/449F) and IL-7Rα(-/-) pre-B cells also showed defective cyto-Igμ and CD25 expression, associated with reduced levels of Rag1, Rag2, and Irf4. Pre-B cells from IL-7Rα(449F/449F) mice also failed to proliferate, perhaps as a result of the failure to rearrange Igμ. Our data suggest that IL-7Rα Tyr(449) was essential for IL-7Rα signaling in bone marrow B cell development and survival.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".