<i>In vivo</i> DNase I-mediated footprinting analysis along the human bradykinin B1 receptor (<i>BDKRB1</i>) gene promoter: evidence for cell-specific regulation
Bibliographic record
Abstract
By applying in vivo dimethyl sulphate and UV light type C-footprinting analysis, we previously showed that specific DNA sequences in the -1349/+42 core promoter region of the inducible human BDKRB1 (bradykinin B1 receptor) gene correlated with its transcriptional activity. In the present study we used the highly sensitive DNase I in vivo footprinting approach to delineate more precisely the functional domains of the BDKRB1 gene promoter in human SMCs (smooth muscle cells). Human lymphocytes that do not express a functional BDKRB1 were also studied as a reference using dimethyl sulphate, UV light type C and DNase I treatments. An obvious difference was found in the DNase I-footprinting patterns between cellular systems that express a functional BDKRB1 (SMCs) in comparison with human lymphocytes, where randomly distributed nucleosome-like footprinting patterns were found in the bulk of the core promoter region studied. Gel-shift assays and expression studies pointed to the implication of the YY1 and a TBP/TFIIB (TATA-box-binding protein/transcription factor IIB) transcription factor in the regulation of BDKRB1 gene expression in SMCs and possible YY1 involvement in the mechanisms of nuclear factor kappaB-mediated regulation of the receptor expression. No significant changes in the promoter foot-printing pattern were found after treatment with interleukin-1beta or serum (known BDKRB1 gene inducers), indicating that definite regulatory motifs could exist outside the BDKRB1 gene core promoter region studied.
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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) | 0.002 | 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".