Role of Src homology 2-containing-inositol 5′-phosphatase (SHIP) in mast cells and macrophages
Bibliographic record
Abstract
The haemopoietic-restricted Src homology 2-containing inositol 5'-phosphatase (SHIP) acts as a negative regulator of myeloid cell proliferation, survival and end-cell activation. It does so, at least in part, by hydrolysing the phosphoinositide 3-kinase (PI3K)-generated second messenger, PtdIns(3,4,5) P (3) (PI-3,4,5-P(3)) to PtdIns(3,4) P (2). As a result, the myeloid progenitors in SHIP-knockout mice display enhanced survival and proliferation and the mice have increased numbers of neutrophils and monocytes/macrophages. Interestingly, although SHIP is not required for mast cell or macrophage development, it restrains their differentiation since progenitors from SHIP(-/-) mice differentiate into mature mast cells and macrophages significantly faster than their wild-type counterparts. This could suggest that elevated PI-3,4,5-P(3) levels accelerate myeloid differentiation. In bone-marrow-derived mast cells, SHIP prevents degranulation by IgE alone, restrains IgE-antigen-induced degranulation and limits the production of inflammatory cytokines. On the other hand, in peritoneal macrophages, SHIP is a positive regulator of NO production, since SHIP(-/-) peritoneal macrophages produce 5-10-fold less NO than their wild-type counterparts, even though they show greater lipopolysaccharide/interferon-gamma-induced nuclear factor kappa B activation and more rapid inducible NO synthase (iNOS) generation. This is a result of 10-fold higher levels of arginase I in the SHIP(-/-) macrophages, which redirects the iNOS substrate, L-arginine, from NO to ornithine production. This suggests that the chronically elevated PI-3,4,5-P(3) levels in SHIP(-/-) mice may convert M1 (killing) macrophages, which produce NO to kill micro-organisms and tumour cells, into M2 (healing) macrophages, which produce ornithine to promote host cell growth and fibrosis.
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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 | 0.000 |
| 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 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".