Homeostasis and regeneration of the hematopoietic stem cell pool are altered in SHIP-deficient mice
Bibliographic record
Abstract
SH2-containing inositol 5-phosphatase (SHIP) is an important negative regulator of cytokine and immune receptor signaling. SHIP-deficient mice have a number of hematopoietic perturbations, including enhanced cytokine responsiveness. Because cytokines play an important role in the maintenance/expansion of the primitive hematopoietic cell pool, we investigated the possibility that SHIP also regulates the properties of cells in these compartments. Primitive hematopoietic cells were evaluated in SHIP-deficient mice and wild-type littermate controls using the colony-forming unit-spleen (CFU-S) and competitive repopulating unit (CRU) assays for multipotent progenitors and long-term lympho-myeloid repopulating cells, respectively. Absence of SHIP was found to affect homeostasis of CFU-S and CRU compartments. Numbers of primitive cells were increased in extramedullary sites such as the spleen of SHIP-deficient mice, although total body numbers were not significantly changed. In vivo cell cycle status of the CRU compartment was further evaluated using 5-fluorouracil (5-FU). SHIP-deficient CRUs were more sensitive to 5-FU killing, indicating a higher proliferative cell fraction. More strikingly, SHIP was found to regulate the ability of primitive cells to regenerate in vivo, as CRU recovery was approximately 30-fold lower in mice that received transplants of SHIP-deficient cells compared with controls. These results support a major role for SHIP in modulating pathways important in homeostasis and regeneration of hematopoietic stem cells, and emphasize the importance of negative cytokine regulation at the earliest stages of hematopoiesis.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".