A convenient plasmid system for construction of helper‐dependent adenoviral vectors and its application for analysis of the breast‐cancer‐specific mammaglobin promoter
Bibliographic record
Abstract
BACKGROUND: Helper-dependent (HD) adenovirus (Ad) vectors, deleted of all viral coding sequences, have a higher cloning capacity, improved performance of tissue-specific promoters, and reduced toxicity in animals relative to first-generation Ad vectors, making these vectors promising tools for gene transfer in vitro and in vivo. However, the large size of HDAd precursor plasmids renders them relatively difficult to manipulate due to the paucity of unique restriction enzyme sites suitable for transgene insertion and to the size constraints imposed by the viral packaging machinery. METHODS: We have constructed a series of HDAd precursor plasmids that allows cassette insertion at a unique site in the vector backbone. We have tested whether these vector backbones will support the tissue-specificity of inserted expression cassettes in a study of the activity of the potentially breast-cancer-specific mammaglobin promoter and enhancer. RESULTS: We report here the generation of a series of HDAd precursor plasmids, both with and without an additional reporter expression cassette, that were designed to accommodate a wide range in size of inserted DNA. The system was validated for transcriptional targeting studies by demonstrating the tissue-specificity and activity of the mammaglobin promoter rescued using this precursor system. In addition, we have extended our previous studies on the mammaglobin promoter by demonstrating that two copies of the mammaglobin enhancer fused to the minimal promoter surpassed the activity of the single enhancer/promoter by at least 10-fold in breast cancer cells while maintaining only minimal expression in normal cells both in vitro and in a mouse tumor model. CONCLUSIONS: This versatile plasmid system simplifies the construction of HDAd vectors and was valuable in demonstrating the targeting potential of the mammaglobin promoter for breast cancer gene therapy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".