SOX2-Dependent Transcription in Clock Neurons Promotes the Robustness of the Central Circadian Pacemaker
Bibliographic record
Abstract
Clock neurons within the mammalian suprachiasmatic nuclei (SCN) encode circadian time using interlocked transcription-translation feedback loops (TTFLs) that drive rhythmic gene expression. However, the contributions of other transcription factors outside of the circadian TTFLs to the functionality of the SCN remain obscure. Here, we report that the stem and progenitor cell transcription factor, sex-determining region Y-box 2 (SOX2), is expressed in adult SCN neurons and positively regulates transcription of the core clock gene, Period2. Mice lacking SOX2 selectively in SCN neurons display imprecise, poorly consolidated behavioral rhythms that do not entrain efficiently to environmental light cycles and that are highly susceptible to constant light-induced arrhythmicity. RNA sequencing revealed that Sox2 deficiency alters the SCN transcriptome, reducing the expression of core clock genes and neuropeptide-receptor systems. By defining the transcriptional landscape within SCN neurons, SOX2 enables the generation of robust, entrainable circadian rhythms that accurately reflect environmental time.
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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".