IGF-1 receptor transactivation mediates Src-dependent cortactin phosphorylation in response to angiotensin IIThis article is one of a selection of papers published in a special issue celebrating the 125th anniversary of the Faculty of Medicine at the University of Manitoba.
Bibliographic record
Abstract
Release of angiotensin II (Ang II) after vascular injury promotes tissue repair by stimulating phenotypic modulation of smooth muscle cells, which enables cell proliferation and migration. This process requires cytoskeleton remodeling, which involves cortactin, a scaffold protein that is phosphorylated by Src kinase in response to Ang II. Since insulin-like growth factor (IGF)-1 receptor transactivation mediates intracellular signals originating from the Ang II type 1 (AT1) receptor in a Src kinase-dependent manner, we examined whether IGF-1 receptor transactivation was also required for cortactin phosphorylation. Treatment of quiescent smooth muscle cells with Ang II resulted in both cortactin phosphorylation and its translocation to the plasma membrane. Both events were prevented by 1-(1,1-dimethylethyl)-1-(4-methylphenyl)-1H-pyrazolo(3,4-d)pyrimidin-4-amine (PP1), a Src kinase inhibitor, and by AG1024, an inhibitor of the IGF-1 receptor tyrosine kinase. Additionally, PP1 and AG1024 blocked the association of cortactin with actin-related protein (Arp) 3, an actin nucleation factor. These results indicate that Src kinase and the IGF-1 receptor kinase are necessary for activating cortactin. Phosphorylation of Src kinase in Ang II-treated cells was subsequently examined and was shown to be prevented by AG1024. Furthermore, Src kinase phosphorylation was blocked by inhibitors of protein kinase C (PKC), but not by inhibitors of phosphatidylinositol (PI) 3-kinase. These data establish that IGF-1 receptor transactivation is required for Src kinase-mediated cortactin phosphorylation and cytoskeletal reorganization in response to Ang II.
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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 | 0.000 |
| 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) | 0.002 | 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".