Transcriptional control of synaptic components by the clock machinery
Bibliographic record
Abstract
Circadian rhythms are generated in mammals by a central clock located in the suprachiasmatic nucleus of the hypothalamus, which regulates the homeostasis of many biological processes. At the molecular level, the regulation of circadian rhythms is under the control of transcriptional-translational feedback loops composed of clock factors, including transcription factors. In the brain, synaptic plasticity has been shown to vary with a 24-h rhythm. Also, when measured at a given time-of-day, synaptic plasticity has been observed to be disrupted by dysregulation of clock factors. This could suggest a regulation of synaptic functions by the clock machinery. Interestingly, many studies provide support for direct and indirect transcriptional regulation by core clock factors, including rhythmic gene expression, for a variety of synaptic components. Indeed, the gene of several neuropeptides, neurotransmitter regulators, receptors and transporters, ion channels, vesicle proteins, and adhesion and scaffolding molecules present evidence to be clock-controlled. We here present, while considering different regions of the mammalian brain, an overview of the extent of the transcriptional control of synaptic components by the clock machinery.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".