Cup is essential for <i>oskar</i> mRNA translational repression during early <i>Drosophila</i> oogenesis
Bibliographic record
Abstract
ABSTRACT The proper timing of mRNA translation is crucial across many biological systems for processes such as intercellular communication, body pattern formation, and morphogenesis. The main D. melanogaster posterior determinant, oskar , is maternally transcribed, but only translated when properly localized at the oocyte’s posterior cortex. Bruno 1 and Cup are two effector proteins known to participate in multiple aspects of oskar mRNA regulation. Current model describes a mechanism in which Bruno 1 is necessary for Cup’s recruitment to oskar mRNA, and Bruno 1 is indispensable for its translational repression. Here, we reveal that the Bruno 1-Cup interaction, as well as their interdependent influence on each other’s mRNA and protein expression, lead to precise oskar mRNA regulation during early oogenesis. We show that these factors stably associate with the oskar mRNA in vivo , but surprisingly, Bruno 1’s stable association with oskar mRNA depends on Cup, while Bruno 1 is not necessary for Cup association to oskar mRNA. During early oogenesis, Cup, not Bruno 1, is the essential factor for oskar mRNA repression. Cup is a crucial P-body member that maintains proper P-body morphology during oogenesis, as well as it is necessary for oskar mRNA’s association with P-bodies, thus driving the translational repression and stability of oskar mRNA. Our experimental results collectively suggest a regulatory mechanism where a feedback loop between Bruno 1 and Cup coordinates oskar mRNA regulation in the egg chamber allowing for proper development to occur.
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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 | 0.001 |
| 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".