Cell Cycle Dependent Regulation of Intracellular Calcium Concentration in Vascular Smooth Muscle Cells: A Potential Target for Drug Therapy
Bibliographic record
Abstract
Intracellular Ca2+ transients have been shown to control several transition points within the eukaryotic cell cycle. We focus here on the G1-to-S phase transition triggered by an increase in the intracellular Ca2+ concentration ([Ca2+](i)) in rodent vascular smooth muscle cells (VSMC) and its potential targeting for the treatment of vaso-occlusive processes such as atherosclerosis, hypertension and post-angioplasty restenosis. The transcription factor c-Myb generates a G1/S transition-specific Ca2+ transient via its regulation of a high affinity Ca2+ efflux pump, the plasma membrane Ca2+ ATPase-1 (PMCA1). The cell cycle-associated repression of PMCA1 is mediated by two c-Myb binding sites in the PMCA1 promoter. As c-Myb levels increase in late G1 phase of proliferating VSMC, transcription from the PMCA1 promoter is reduced, expression of the PMCA1 gene falls, and the resultant reduced rate of Ca2+ efflux underlies a G1/S-associated increase in [Ca2+](i). Blocking either the upregulation of c-Myb levels, or the down regulation in expression of the efflux pump, leads to significant reductions in S phase entry and proliferation of VSMC. A search for functional c-Myb sites within the promoters of other Ca2+ transporters has been undertaken in order to extend the molecular framework of the G1/S-specific Ca2+ signal mediated by the c-Myb transcription factor. Animal studies with c-myb antisense oligodeoxynucleotides and an anti-c-myb ribozyme as well as in vitro results with dominant negative c-Myb mutants and a doxycycline-inducible c-Myb neutralizing antibody point to the potential of c-Myb-targeted gene therapy for treating pathologic VSMC proliferation and highlight the need for clinical trials in this field.
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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) | 0.001 | 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 | 0.001 | 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".