SAM68: a downstream target of angiotensin II signaling in vascular smooth muscle cells in genetic hypertension
Bibliographic record
Abstract
We investigated whether phosphatidylinositol 3-kinase (PI3K) and 68-kDa Src associated during mitosis (SAM68) are involved in angiotensin II (ANG II) growth signaling in vascular smooth muscle cells (VSMCs) from spontaneously hypertensive rats (SHR). PI3K activity was assessed by measuring the phosphorylation of the regulatory subunit p85alpha and kinase activity of the catalytic 110-kDa subunit of PI3K. The PI3K-SAM68 interaction was assessed by coimmunoprecipitation, and SAM68 activity was evaluated by poly(U) binding. SAM68 expression was manipulated by SAM68 antisense oligonucleotide transfection. VSMC growth was evaluated by measuring [3H]leucine and [3H]thymidine incorporation as indexes of protein and DNA synthesis, respectively. ANG II increased the phosphorylation of p85alpha and kinase activity of the 110-kDa PI3K subunit in VSMCs from SHR and transiently increased p85alpha-SAM68 association. In Wistar-Kyoto (WKY) rat cells, ANG II increased SAM68 phosphorylation without influencing poly(U) binding. In SHR, ANG II did not influence SAM68 phosphorylation but increased SAM68 binding to poly(U). ANG II stimulated phosphoinositol phosphate synthesis by PI3K in SAM68 immunoprecipitates in both groups, with significantly enhanced effects in SHR. Inhibition of PI3K, using the selective inhibitor LY-294002, and downregulation of SAM68, by antisense oligonucleotides, significantly decreased ANG II-stimulated incorporation of [3H]leucine and [3H]thymidine in VSMCs, showing the functional significance of PI3K and SAM68. Our data demonstrate that PI3K and SAM68 are involved in ANG II signaling and that SAM68 is differentially regulated in VSMCs from SHR. These processes may contribute to the enhanced ANG II signaling and altered VSMC growth in SHR.
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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) | 0.001 | 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".