The circadian demethylation of a unique intronic deoxymethylCpG-rich island boosts the transcription of its cognate circadian clock output gene
Bibliographic record
Abstract
We demonstrate that there is a tight functional relationship between two highly evolutionary conserved cell processes, i.e., the circadian clock (CC) and the circadian DNA demethylation-methylation of cognate deoxyCpG-rich islands. We have discovered that every circadian clock-controlled output gene (CCG), but not the core clock nor its immediate-output genes, contains a single cognate intronic deoxyCpG-rich island, the demethylation-methylation of which is controlled by the CC. During the transcriptional activation period, these intronic islands are demethylated and, upon dimerization of two YY1 protein binding sites located upstream to the transcriptional enhancer and downstream from the deoxyCpG-rich island, store activating components initially assembled on a cognate active enhancer (a RORE, a D-box or an E-box), in keeping with the generation of a transcriptionally active condensate that boosts the initiation of transcription of their cognate pre-mRNAs. We report how these single intronic deoxyCpG-rich islands are instrumental in such a circadian activation/repression transcriptional process.
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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".