A vestigial:scalloped TEA domain chimera rescues the wing phenotype of a <i>scalloped</i> mutation in <i>Drosophila melanogaster</i>
Bibliographic record
Abstract
The development of the Drosophila wing requires both scalloped and vestigial functions. Using a fusion between full-length Vestigial and the Scalloped TEA domain, the fusion protein can rescue scalloped wing mutations because within wing development, Scalloped and Vestigial cooperatively act as a transcription complex. Scalloped provides the necessary DNA binding function via the TEA domain and Vestigial promotes the activation of target genes. We also demonstrate that the putative nuclear localization signal contained in the TEA domain of Scalloped is likely responsible for the nuclear localization of Vestigial. The fusion protein is also capable of activating a known target gene of the native complex and thus represents a tool that will be helpful in rapidly identifying target genes of the Sd/Vg complex that are involved in wing differentiation. The functionality of the fusion suggests that only the TEA domain of Scalloped is critical for wing development and the rest of the protein (about 70%) is dispensable. This result is novel and should stimulate further studies of sd in other tissues in view of the fact that scalloped is a vital gene 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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".