Epsin potentiates<i>Notch</i>pathway activity in<i>Drosophila</i>and<i>C. elegans</i>
Bibliographic record
Abstract
Endocytosis and trafficking within the endocytosis pathway are known to modulate the activity of different signaling pathways. Epsins promote endocytosis and are postulated to target specific proteins for regulated endocytosis. Here, we present a functional link between the Notch pathway and epsins. We identify the Drosophila ortholog of epsin, liquid facets (lqf), as an inhibitor of cardioblast development in a genetic screen for mutants that affect heart development. We find that lqf inhibits cardioblast development and promotes the development of fusion-competent myoblasts, suggesting a model in which lqf acts on or in fusion-competent myoblasts to prevent their acquisition of the cardioblast fate. lqf and Notch exhibit essentially identical heart phenotypes, and lqf genetically interacts with the Notch pathway during multiple Notch-dependent events in Drosophila. We extended the link between the Notch pathway and epsin function to C. elegans, where the C. elegans lqf ortholog acts in the signaling cell to promote the glp-1/Notch pathway activity during germline development. Our results suggest that epsins play a specific, evolutionarily conserved role to promote Notch signaling during animal development and support the idea that they do so by targeting ligands of the Notch pathway for endocytosis.
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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".