α8 Integrin expression is required for maintenance of the smooth muscle cell differentiated phenotype
Bibliographic record
Abstract
OBJECTIVE: Vascular smooth muscle cell (VSMC) de-differentiation is a prerequisite for migration from the tunica media to the intima after vascular injury. Integrin cell adhesion molecules participate in VSMC phenotype modulation. Alpha 8 beta 1 integrin is a differentiation marker of VSMCs and its knockdown heightens migration. In the present study, we examined whether or not alpha 8 integrin is required for the maintenance of VSMC differentiated phenotype. METHODS: Alpha 8 integrin in rat VSMC was knocked down by short interference RNA (siRNA) targeting alpha 8 integrin in comparison to a non-silencing siRNA. Cytoskeletal and morphological changes in VSMC were examined by immunofluorescence staining. The expression of phenotype-dependent markers was analyzed by immunoblotting. RESULTS: Alpha 8 integrin gene silencing evoked drastic changes in characteristics of the VSMC differentiated phenotype, including VSMC morphology, actin fibre organization, focal adhesion assembly and the expression of phenotype-dependent markers in favor of de-differentiation. Then, we investigated whether or not phenotype modulation induced by alpha 8 integrin gene silencing could be reversed by an inducer of VSMC differentiation. Transforming growth factor-beta (TGF-beta) failed to upregulate smooth muscle-myosin heavy chain as well as the assembly of parallel actin fibres in VSMCs transfected by siRNA-alpha 8. In addition, TGF-beta-induced vinculin localization at the tip of the cells was impaired by alpha 8 integrin gene silencing. CONCLUSION: These data suggest that alpha 8 integrin expression is required for maintenance of the VSMC differentiated phenotype, a state that is crucial for non-motile VSMCs.
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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) | 0.002 | 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".