A novel β-adrenergic response element regulates both basal and agonist-induced expression of cyclin-dependent kinase 1 gene in cardiac fibroblasts
Bibliographic record
Abstract
Cardiac fibrosis, a known risk factor for heart disease, is typically caused by uncontrolled proliferation of fibroblasts and excessive deposition of extracellular matrix proteins in the myocardium. Cyclin-dependent kinase 1 (CDK1) is involved in the control of G2/M transit phase of the cell cycle. Here, we showed that isoproterenol (ISO)-induced cardiac fibrosis is associated with increased levels of CDK1 exclusively in fibroblasts in the adult mouse heart. Treatment of primary embryonic ventricular cell cultures with ISO (a nonselective β-adrenergic receptor agonist) increased CDK1 protein expression in fibroblasts and promoted their cell cycle activity. Quantitative PCR analysis confirmed that ISO increases CDK1 transcription in a transient manner. Further, the ISO-responsive element was mapped to the proximal -100-bp sequence of the CDK1 promoter region using various 5'-flanking sequence deletion constructs. Sequence analysis of the -100-bp CDK1 minimal promoter region revealed two putative nuclear factor-Y (NF-Y) binding elements. Overexpression of the NF-YA subunit in primary ventricular cultures significantly increased the basal activation of the -100-bp CDK1 promoter construct but not the ISO-induced transcription of the minimal promoter construct. In contrast, dominant negative NF-YA expression decreased the basal activity of the minimal promoter construct and ISO treatment fully rescued the dominant negative effects. Furthermore, site-directed mutagenesis of the distal NF-Y binding site in the -100-bp CDK1 promoter region completely abolished both basal and ISO-induced promoter activation of the CDK1 gene. Collectively, our results raise an exciting possibility that targeting CDK1 or NF-Y in the diseased heart may inhibit fibrosis and subsequently confer cardioprotection.
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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".