Early-late genes of the ecdysone cascade as models for transcriptional studies
Bibliographic record
Abstract
The DHR3 and Hr4 early-late genes of the ecdysone cascade are described as models for transcriptional studies in Drosophila cells. In a set of experiments, it became clear that these genes are a convenient and versatile system for research into the physiological conditions upon 20-hydroxyecdysone induction. DHR3 and Hr4 gene transcription is characterized by fast activation kinetics, which enables transcriptional studies without the influence of indirect effects. A limited number of activated genes (only 73 genes are induced one hour after treatment) promote the selectivity of transcriptional studies via 20-hydroxyecdysone induction. DHR3 and Hr4 gene expression is dose dependent, is completely controlled by the hormone titer and decreases within hours of 20-hydroxyecdysone withdrawal. The DHR3 and Hr4 gene promoters become functional within 20 minutes after induction, which makes them useful tools for investigation if the early activation process. Their transcription is controlled by the RNA polymerase II pausing mechanism, which is widespread in the genome of Drosophila melanogaster but is still underinvestigated. Uniform expression activation of the DHR3 and Hr4 genes in a cell population was confirmed at both the RNA and protein levels. Homogeneity of the transcription response makes DHR3/Hr4 system valuable for investigation of the protein dynamics during transcription induction.
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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 | 0.000 | 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) | 0.000 | 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".