Deubiquitinases: key regulators of the circadian clock
Bibliographic record
Abstract
All living organisms experience daily environmental cycles and have consequently evolved to synchronize and adapt to this changing environment. Biological processes such as hormonal secretion, body temperature, and sleep follow daily cycles called circadian rhythms that are driven by a molecular clock running in most cells and tissues of the body. This clock is composed of transcriptional-translational negative feedback loops involving clock genes and proteins. This molecular mechanism functions with a period of ∼24 h, and it promotes daily rhythms in the expression of numerous genes. For this robust mechanism to function, the abundance and activity of clock proteins need to be tightly regulated. One of the mechanisms by which this can be achieved is ubiquitination. Indeed, many ubiquitin ligases can tag core clock proteins to target them for proteasomal degradation. However, deubiquitinases can reverse this process by removing or modifying these ubiquitin signals and are thus important enzymes in clock protein homeostasis and regulation. Recent studies on the mammalian and Drosophila clock mechanisms have identified a number of deubiquitinases able to stabilize core clock proteins, change their cellular localization or even regulate their activity. In this review, we aim to discuss the fundamental roles of ubiquitination and deubiquitination in the circadian clock by presenting all deubiquitinases found to be involved in circadian rhythms with the aim to give a global view of recent advances in this emerging field.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".