Post-transcriptional Regulation of Endothelial Nitric-oxide Synthase by an Overlapping Antisense mRNA Transcript
Bibliographic record
Abstract
Endothelial nitric-oxide synthase (eNOS) mRNA levels are abnormal in diseases of the cardiovascular system, but changes in gene expression cannot be accounted for by transcription alone. We found evidence for the existence of an antisense mRNA (sONE) that is derived from a transcription unit (NOS3AS) on the opposite DNA strand from which the human eNOS (NOS3) mRNA is transcribed at human chromosome 7q36. The genes are oriented in a tail-to-tail configuration, and the mRNAs encoding sONE and eNOS are complementary for 662 nucleotides. The mRNA for sONE could be detected in a variety of cell types, both in vivo and in vitro, but not vascular endothelial cells. In contrast, expression of eNOS is highly restricted to vascular endothelium. Most surprisingly, interrogation of transcriptional events across NOS3/NOS3AS genomic regions, using single- and double-stranded probes for nuclear run-off analyses and chromatin immunoprecipitation-based assessments of RNA polymerase II distribution, indicated that NOS3 and NOS3AS gene transcription did not correlate with steady-state mRNA levels. We found strong evidence supporting a role for NOS3AS in the post-transcriptional regulation of NOS3 expression. RNA interference-mediated inhibition of sONE expression in vascular smooth muscle cells increased eNOS expression. Overexpression of sONE in endothelial cells blunted eNOS expression. Finally, the histone deacetylase inhibitor trichostatin A is known to regulate the expression of eNOS via a post-transcriptional mechanism. We found that trichostatin A treatment of vascular endothelial cells increased expression of sONE mRNA levels prior to the observed decrease in eNOS mRNA expression. Taken together, these results indicate that an antisense mRNA (sONE) participates in the post-transcriptional regulation of eNOS and provide a newer model for endothelial cell-specific gene expression.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".