RasGRP1 and RasGRP3 Are Required for Efficient Generation of Early Thymic Progenitors
Bibliographic record
Abstract
T cell development is dependent on the migration of progenitor cells from the bone marrow to the thymus. Upon reaching the thymus, progenitors undergo a complex developmental program that requires inputs from various highly conserved signaling pathways including the Notch and Wnt pathways. To date, Ras signaling has not been implicated in the very earliest stages of T cell differentiation, but members of a family of Ras activators called RasGRPs have been shown to be involved at multiple stages of T cell development. We examined early T cell development in mice lacking RasGRP1, RasGRP3, and RasGRPs 1 and 3. We report that RasGRP1- and RasGRP3-deficient thymi show significantly reduced numbers of early thymic progenitors (ETPs) relative to wild type thymi. Furthermore, RasGRP1/3 double-deficient thymi show significant reductions in ETP numbers compared with either RasGRP1 or RasGRP3 single-deficient thymi, suggesting that both RasGRP1 and RasGRP3 regulate the generation of ETPs. In addition, competitive bone marrow chimera experiments reveal that RasGRP1/3 double-deficient progenitors intrinsically generate ETPs less efficiently than wild type progenitors. Finally, RasGRP1/3-deficient progenitors show impaired migration toward the CCR9 ligand, CCL25, suggesting that RasGRP1 and RasGRP3 may regulate progenitor entry into the thymus through a CCR9-dependent mechanism. These data demonstrate that, in addition to Notch and Wnt, the highly conserved Ras pathway is critical for the earliest stages of T cell development and further highlight the importance of Ras signaling during thymocyte maturation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".