Gene expression regulation through 14-3-3 interactions with histones and HDACs.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
14-3-3s are phosphoserine- or phosphothreonine-binding proteins, which are involved in a variety of cellular processes, including gene regulation, differentiation, cell cycle progression, and metabolism. Their mechanism of regulation is typically to induce a conformational change on the target phosphoprotein, which can alter its catalytic activity, localization within the cell, or interactions with other proteins. In addition, 14-3-3s can act as a scaffolding protein, leading to multiprotein complex formation on the target phosphoprotein. As such, 14-3-3s are integrated into a number of important phosphorylation-dependent signaling pathways. In this review, we will examine the interaction of 14-3-3 with chromatin and chromatin modifying enzymes, specifically with phosphorylated histone H3 and histone deacetyltransferases, respectively. Through diverse mechanisms, these interactions directly affect the expression of target genes, many of which are known oncogenes and lead to tumorigenesis and metastasis. Various research studies have indicated that the mechanism of 14-3-3 interaction and its role in transcription is complex and diverse, and likely involving additional components as yet undefined.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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) | 0.000 | 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 it