Refining GAL4‐driven transgene expression in <i>Drosophila</i> with a GAL80 enhancer‐trap
Bibliographic record
Abstract
We constructed an enhancer-trap element, P[GAL80], that encodes the yeast GAL80 repressor to refine expression of transgenes driven by the binary GAL4/UAS system. GAL80 blocks GAL4 activity by binding to its transcriptional activation domain. We screened GAL80 enhancer-traps for repression of GAL4-induced green fluorescent protein (GFP) in the intact larval nervous system. We selected one line that repressed GFP in a large set of cholinergic neurons. This line was used to refine GFP expression from a set of over 200 neurons to a subset of 20 neurons in a preselected GAL4 line. Expression of tetanus neurotoxin, a potent blocker of neurotransmitter release, in these 20 neurons reproduced an aberrant larval turning behavior previously assigned to the parental set of 200 neurons. Our results suggest that targeted GAL80 expression could become a useful means of spatially refining transgene expression in Drosophila.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| 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".