Identification of a transcription factor, an 80-kDa protein that interacts with the HLH recognition motif of the rat p53 promoter
Bibliographic record
Abstract
The p53 promoter has been shown to contain a number of potential regulatory motifs. It was previously reported that the upstream stimulating factor (USF) played a central role in regulating the p53 expression. The USF binding site, E-box, is located around 40 bp upstream of the major transcription start site. In this study, it was confirmed that the E-box binds to proteins by DNase I footprinting assay. In the electrophoretic mobility shift assay (EMSA), two retarded bands were detected. One band was abolished by the competition of USF consensus oligonucleotide, but the other band was not. This result indicated that a factor, other than USF, was bound to the E-box. The molecular masses of the binding proteins were determined by a Southwestern-blotting assay. As a result, 46- and 80-kDa proteins were detected. The 46-kDa protein was eliminated by the competition of USF consensus oligonucleotide. Also, the Southwestern-blotting assay with 32P-labeled USF consensus oligonucleotide showed only a 46-kDa protein. Therefore, the 46-kDa protein was USF. These results showed that USF and the 80-kDa protein were bound to the E-box. In addition, it was proved by in vitro transcription assay that this 80-kDa protein had a basal transcriptional activity.
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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 | 0.001 |
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".