The human SCGB2A2 (Mammaglobin-1) promoter/enhancer in a helper-dependent adenovirus vector directs high levels of transgene expression in mammary carcinoma cells but not in normal nonmammary cells
Bibliographic record
Abstract
Expression of secretoglobin family 2A member 2 (SCGB2A2, also known as mammaglobin-1) has been detected in a high percentage of primary and metastatic breast tumors, to a lesser extent in normal breast, but not in other normal tissues. Plasmid transfection studies in our lab and others, however, were unable to identify the genetic elements regulating this specificity. Here we demonstrate that a 25-kb DNA fragment derived from the human SCGB2A2 gene upstream of the protein coding sequence was highly active and preferentially expressed in breast cancer cells when introduced via a helper-dependent adenoviral (HDAd) vector. HDAd delivery was selected for its high cloning capacity, its high efficiency of gene transfer, and the absence of cis-acting viral sequences that can potentially interfere with specificity of the inserted promoters. A series of vectors with deletions in the 25-kb fragment was constructed to identify important regulatory regions of the SCGB2A2 promoter. We have determined that elements controlling the specificity of expression reside within the first 345 bp upstream of the coding sequence. In addition, we identified a strong enhancer several kilobases upstream of this minimal promoter. We suggest that the SCGB2A2 promoter/enhancer should be particularly advantageous for gene therapy protocols involving oncolytic viruses or toxic gene transfer via adenovectors to mammary tumors.
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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 | 0.001 |
| 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".