ROK and Rac mediation of PRL-1 function in the wings of <i>Drosophila melanogaster</i>
Bibliographic record
Abstract
By the time a cancer metastasizes it has reached its most deadly stage. It therefore is essential that the underpinning mechanisms promoting metastasis are understood. Phosphatases of regenerating liver (PRL) have been repeatedly connected to cancer metastasis when overexpressed. However, little is yet known about the normal PRL function and biological pathways let alone the PRL pathway promoting metastasis. The current study explores the relationship between PRL-1 and two other genes, ROK and Rac,that have also been implicated in cell migration and metastasis. Increased PRL-1 function in conjunction with increased or decreased Rac function was forced to the dorsal half of the Drosophila melanogaster wing and compared to the increased PRL-1 function only phenotype in the wing. Increased PRL-1 function results in fewer cells on the dorsal versus ventral half of the wing. Increased PRL-1 function and decreased Rac function results in an inhibition of the PRL-1 directed phenotype such that there is no difference in cell number on the two sides of the wing. Neither increased nor decreased ROK function had an effect on the increased PRL-1 function phenotype. Therefore, this experiment concludes that in Drosophila melanogaster, Rac is a necessary component in the PRL-1 pathway while ROK and PRL-1 do not interact.
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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".