Dynamics of Reporter Gene Stimulation by HMG Box Proteins
Bibliographic record
Abstract
Overcoming local DNA rigidity is required to perform three-dimensional DNA-protein configuration at promoter regions. The abundant architectural nonhistone chromosomal HMG box proteins are nonsequence-specific; however, they have been established to specifically recognize distorted DNA. Using transient transfection to overexpress two different members of the HMGB-1/2 family of DNA architectural factors, we demonstrate that these proteins provide a general enhancement in reporter gene expression irrespective of the promoter being considered. Evidences are also provided indicating that stimulation may not be achieved by recruitment of the proteins by regulatory factors or as a consequence of major chromatin unfolding as previously suggested. Interestingly, the influence of the HMG box proteins under study was overridden when the promoters were either induced or stimulated by Trichostatin A (TSA) but recovered upon extended induction period. These results also support the concept that the architectural role of these proteins can contribute to the preinitiation complex assembly required for basal transcription, but to a much lesser extent to the poised promoter scaffolding characteristic of activated transcription.
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 | 0.001 |
| 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".