Chromatin potentiation of the hsp70 promoter is linked to GAGA-factor recruitment
Bibliographic record
Abstract
The events leading to transcription initiation of the Drosophila melanogaster heat-shock protein (hsp)70 gene have been demonstrated to be directly connected with nucleosome remodeling factor and GAGA-dependent chromatin remodeling on its promoter region. To investigate the relative importance of the multiple GAGA-factor binding sites in the process of chromatin remodeling and their effect on DNA conformation, the position of nucleosomes over the proximal region of the promoter was mapped. No real-positioned nucleosome was detected. By matching the relative position of the GAGA-factor binding sites with the distribution of nucleosomes over the hsp70 promoter, the GAGA site 2 appeared to be the most accessible, i.e., located close to a nucleosomal edge or within the linker DNA. This result, combined with previous observations, suggest a link between increased GAGA-factor accessibility and efficiency of transcription initiation. The effect of GAGA-binding-site mutations, both individually and in combination, on DNA structure and nucleosome remodeling was assessed using free DNA and fly embryo extract chromatin templates assembled in vitro. Results indicated that both the number of functional sites and their positions within the chromatin were important determinants for nucleosome-remodeling efficiency. Ultimately, the degree of accessibility of the GAGA factor to its cognate binding site(s) appears to be proportional to chromatin-remodeling competency of the hsp70 promoter.
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.
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) | 0.002 | 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".