Ubiquitin-Dependent Distribution of the Transcriptional Coactivator p300 in Cytoplasmic Inclusion Bodies
Bibliographic record
Abstract
The protein level of transcriptional coactivator p300, an essential nuclear protein, is critical to a broad array of cellular activities including embryonic development, cell differentiation and proliferation. We have previously established that histone deacetylase inhibitor such as valproic acid induces p300 degradation through the 26S proteasome pathway. Here, we report the roles of cellular trafficking and spatial redistribution in valproic acid-induced p300 turnover. Our study demonstrates that p300 is redistributed to the cytoplasm prior to valproic acid-induced turnover. Inhibition of proteasome-dependent protein degradation, does not prevent nucleo-cytoplasmic shuttling of p300, rather sequesters the cytoplasmic p300 to a distinct perinuclear region. In addition, the formation of p300 aggregates in the perinuclear region depends on functional microtubule networks and correlates with p300 ubiquitination. Our work establishes, for the first time, that p300 is also a substrate of the cytoplasmic ubiquitin-proteasome system and provides insight on how cellular trafficking and spatial redistribution regulate the availability and activity of transcriptional coactivator p300.
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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) | 0.000 | 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 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".