Down-regulation of calponin destabilizes actin cytoskeletal structure in A7r5 cells
Bibliographic record
Abstract
The effects of changes in the expression levels of h1 calponin (CaP) on actin cytoskeletal organization were studied in control and phorbol-ester-treated A7r5 smooth muscle cells. Protein association and expression in control and stimulated A7r5 smooth muscle cells were evaluated by Western blotting, laser scanning confocal microscopy (LSCM), and fluorescence resonance energy transfer (FRET) microscopy in cells treated with either 2 x 10(-6 ) mol/L TGF-beta 1 or 2 x 10(-)5 mol/L PDGF-BB to alter h1 calponin expression. Single immunostained samples showed that CaP and alpha-actin, localized in fibers in unstimulated control A7r5 smooth muscle cells, were translocated to podosomes following treatment with phorbol-12,13-dibutyrate (PDBu). Confocal colocalization imaging and FRET analysis both indicated substantial association of CaP with alpha-actin in stress fibers of control cells and in podosomes of PDBu-treated cells. PKC alpha, which showed evidence of only slight association with CaP in control cells, exhibited markedly increased (293%) association in PDBu-contracted cells. Platelet-derived growth factor (PDGF)-BB down-regulated CaP to non-detectable levels, whereas transforming growth factor (TGF)-beta 1 up-regulated (424%) the expression of CaP without affecting the levels of alpha-actin or PKC alpha. PDGF-BB resulted in a significant loss in alpha-actin stress fibers (-47%) and reduced podosome formation (-69%). By comparison, TGF-beta 1 had no effect on stress fibers in control cells but also reduced (-70%) podosome formation. The results suggest that CaP could play a major role in the stabilization of actin stress fibers in resting cells and may contribute to podosome formation in PDBu-treated cells.
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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 | 0.001 |
| 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".