Androgen responsiveness of <i>Renilla</i> luciferase reporter vectors is promoter, transgene, and cell line dependent
Bibliographic record
Abstract
Renilla based reporters are frequently used as transfection controls for luciferase transcriptional reporter assays. However, recent evidence suggests that a commonly used reporter (HSV-thymidine kinase driven Renilla) is responsive to androgen receptor (AR) and glucocorticoid receptors in the presence of the cognate ligands, dihydrotestosterone (DHT) and dexamethasone (DEX), respectively [1]. We further validate this important technical difficulty by illustrating that in LNCaP prostate cancer cells, spurious Renilla luciferase activity is a function of (a) the promoter driving Renilla expression, (b) the presence of co-transfected transgenes, and (c) the androgen responsiveness of the cell line used. Using inhibitors of transcription and translation we showed that transcript interference or translational modulation is not a major means by which androgens affect Renilla luciferase activity. As luciferase reporter assays are a frequent means of studying transcriptional co-regulation in the highly androgen dependent LNCaP cell line, our data serves as a cautionary note that alternative normalization techniques should be employed to avoid misinterpretation of data.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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".