Function of Rho GTPases in embryonic blood cell migration in<i>Drosophila</i>
Bibliographic record
Abstract
Hemocyte development in the Drosophila embryo is a genetic model to study blood cell differentiation, cell migration and phagocytosis. Macrophages, which make up the majority of embryonic hemocytes, migrate extensively as individual cells on basement membrane-covered surfaces. The molecular mechanisms that contribute to this migration process are currently not well understood. We report the generation, by P element replacement, of two Gal4 lines that drive expression of UAS-controlled target genes during early (gcm-Gal4) or late (Coll-Gal4) stages of macrophage migration. gcm-Gal4 is used for live imaging analysis showing that macrophages extend large, dynamic lamellipodia as their main protrusions as well as filopodia. We use both Gal4 lines to express dominantnegative and constitutively active isoforms of the Rho GTPases Rac1, Cdc42, Rho1 and RhoL in macrophages, and complement these experiments by analyzing embryos mutant for Rho GTPases. Our findings suggest that Rac1 and Rac2 act redundantly in controlling migration and lamellipodia formation in Drosophila macrophages, and that the third Drosophila Rac gene, Mtl, makes no significant contribution to macrophage migration. Cdc42 appears not to be required within macrophages but in other tissues of the embryo to guide macrophages to the ventral trunk region. No evidence was found for a requirement of Rho1 or RhoL in macrophage migration. Finally, to estimate the number of genes whose zygotic expression is required for macrophage migration we analyzed 208 chromosomal deletions that cover most of the Drosophila genome. We find eight deletions that cause defects in macrophage migration suggesting the existence of approximately ten zygotic genes essential for macrophage migration.
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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".