The orphan nuclear receptor DHR38 influences transcription of the DOPA decarboxylase gene in epidermal and neural tissues of<i>Drosophila melanogaster</i>
Bibliographic record
Abstract
The DOPA decarboxylase gene (Ddc) belongs to the "early-late" class of ecdysone-inducible genes in Drosophila melanogaster. Its expression is up-regulated in epidermal tissues by the ecdysone receptor acting through a response element, EcRE. In this paper, we show that another member of the nuclear receptor superfamily, DHR38, may act as a repressor of epidermal Ddc while inducing Ddc expression in neuronal cells. DHR38 does not behave as a classical co-repressor of the ecdysone receptor though, since the site through which DHR38 acts is distinct from the EcRE. Ectopic expression of a Dhr38 cDNA from a heat-shock promoter completely repressed transcription from the endogenous Ddc promoter and from an intact reporter construct in the hypoderm and in imaginal discs. Ectopic DHR38 had no effect on the transcription of a reporter driven by a Ddc fragment missing the DHR38 binding site. Neither reporter expression nor endogenous Ddc transcript levels were affected in a Dhr38 mutant background. Because most mutant organisms pupariate apparently normally and many of these survive to eclose, we believe that some functional redundancy exists within the Dhr38 regulatory network operating in epidermal tissues. In contrast to its apparent repressor function in epidermal tissues, DHR38 may act as a positive regulator of neural Ddc expression. Ectopic expression of DHR38 throughout the CNS induced as much as a 20-fold increase in Ddc transcripts in the set of neurons in which DDC normally appears.
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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) | 0.001 | 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".