Interleukin‐7 in the transition of bone marrow progenitors to the thymus
Bibliographic record
Abstract
Interleukin‐7 (IL‐7) is essential for the development of T cells in humans and mice where deficiencies in IL‐7 signaling result in severe immunodeficiency. T cells require IL‐7 at multiple points during development; however, it is unclear when IL‐7 is first necessary. We observed that mice with impaired IL‐7 signaling had a large reduction in the number of early thymic progenitors (ETPs) while mice that overexpress IL‐7 had greatly increased numbers of ETPs. These results indicated that the development of ETPs is sensitive to IL‐7. Bone marrow progenitors of ETP are present in normal numbers in mice with impaired IL‐7 signaling (IL‐7Rα449F) and were efficiently recruited to the thymus. Furthermore, ETPs and their progenitors from IL‐7Rα449F mice did not undergo increased apoptosis and proliferate normally compared to WT cells. Mixed bone marrow chimeras demonstrated that IL‐7 signaling has a cell‐intrinsic role in ETP development but was not required for development of bone marrow progenitors. We have shown a novel role for IL‐7 signaling in the development of ETPs that is distinct from classic mechanisms of IL‐7 regulating survival and proliferation.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".