Prohibitin interacts with phosphatidylinositol 3,4,5‐triphosphate (PIP3) and modulates insulin signaling
Bibliographic record
Abstract
Mitochondrial protein prohibitin (PHB) is known to associate with the plasma membrane of various cell types. However, biological function of plasma membrane associated PHB is not known. Recently we have shown that PHB undergoes tyrosine phosphorylation in response to insulin and here we report that PHB interacts with phosphatidylinositol 3,4,5‐triphosphate (PIP3). Furthermore, we demonstrate that over expression of PHB attenuates insulin signaling downstream of phosphatidylinositol 3 (PI3) kinase. This effect was not observed with over expression of tyrosine phosphorylation site mutant‐PHB suggesting a role for tyrosine phosphorylation of PHB in this process. Interestingly phosphorylation of PHB by Akt attenuates its interaction with PIP3 and enhances insulin signaling. Thus, phosphorylation of PHB and its interaction with PIP3 may be a part of the regulatory mechanisms that is involved in the modulation of insulin signaling. We speculate that phosphorylation of PHB may serve as a general mechanism in the regulation of PI3 kinase signaling including growth factors and immune receptor signaling. This work was made possible by financial support from Manitoba Health Research Council (MHRC) and Winnipeg Health Sciences Centre Foundation to SM and MHRC postdoctoral fellowship to SRA.
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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 | 0.000 |
| 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".