Effect of histone deacetylase inhibitors on heat shock protein gene expression during <i>Xenopus</i> development
Bibliographic record
Abstract
We examined the effect of histone deacetylase inhibitors (HDIs), trichostatin A (TSA), valproic acid (VPA), and sodium butyrate (NaB) on heat shock protein (hsp) gene expression during early Xenopus laevis development. HDIs enhance histone acetylation and result in the relief of repressed chromatin domains and ultimately increase the accessibility of transcription factors to target cis-acting regulatory sites. Treatment of embryos with HDIs enhanced the heat shock-induced accumulation of hsp70 mRNA in post-midblastula stage embryos. No effect was observed with actin mRNA or other hsp70 family members including heat shock cognate 70 and immunoglobulin binding protein. Normally, hsp30 genes are not heat-inducible until the late neurula or early tailbud stage of development. Treatment with HDIs resulted in heat-induced expression of hsp30 genes at the gastrula stage with enhanced heat-induced accumulation in neurula and tailbud stages. HDI treatment alone did not induce the accumulation of hsp70 or hsp30 mRNA. Whole-mount in situ hybridization verified the RNA blot analyses and additionally revealed that TSA treatment did not result in any major alterations in the spatial pattern of stress-induced hsp70 or hsp30 mRNA accumulation in early embryos. This study suggests that the states of Xenopus hsp70 and 30 chromatin are subject to repression beyond the midblastula transition.
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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".