Phosphatidylinositol (3,4,5)P3 Is Essential but Not Sufficient for Protein Kinase B (PKB) Activation; Phosphatidylinositol (3,4)P2 Is Required for PKB Phosphorylation at Ser-473
Bibliographic record
Abstract
Using bone marrow derived mast cells from SH2-containing inositol-5-phosphatase (SHIP) +/+ and minus sign/minus sign mice, we found that the loss of SHIP leads to a dramatic increase in Steel Factor (SF)-stimulated phosphatidylinositol 3,4,5-trisphosphate (PI(3,4,5)P(3)), a substantial reduction in PI(3,4)P(2), and no change in PI(4,5)P(2) levels. We also found that SF-induced activation of protein kinase B (PKB) is increased and prolonged in SHIP -/- cells, due in large part to more PKB associating with the plasma membrane in these cells. Pretreatment of SHIP -/- cells with 25 microm LY294002 resulted in complete inhibition of SF-induced PI(3,4)P(2), while still yielding PI(3,4,5)P(3) levels similar to those achieved in SHIP+/+ cells. This offered a unique opportunity to study the regulation of PKB by PI(3,4,5)P(3), in the absence of PI(3,4)P(2). Under these conditions, PKB activity was markedly reduced compared with that in SF-stimulated SHIP+/+ cells, even though more PKB localized to the plasma membrane. Although phosphoinositide-dependent kinase 1 mediated phosphorylation of PKB at Thr-308 was unaffected by LY294002, phosphorylation at Ser-473 was dramatically reduced. Moreover, intracellular delivery of PI(3,4)P(2) to LY294002-pretreated, SF-stimulated SHIP -/- cells increased phosphorylation of PKB at Ser-473 and increased PKB activity. These results are consistent with a model in which SHIP serves as a regulator of both activity and subcellular localization of PKB.
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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".