Bibliographic record
Abstract
Cdc42, a highly conserved small GTPase of the Rho family, acts as a molecular switch to modulate a wide range of signaling pathways. Vesicle trafficking and cell polarity are two processes Cdc42 is known to regulate. Although the trafficking and polarity machineries are each well understood, how they interact to cross-regulate each other in cell polarization is still a mystery. Cdc42 is an interesting candidate that may integrate these two networks within the cell. Here we review findings on the interplay between Cdc42 and trafficking in yeast, Caenorhabditis elegans, Drosophila and mammalian cell culture systems, and discuss recent advances in our understanding of the function of Cdc42 and two of its effectors, the WASp-Arp2/3 and Par complexes, in regulating polarized traffic. Work in yeast suggests that the polarized distribution of Cdc42, which acts here as a key polarity determinant, requires input from multiple processes including endocytosis and recycling. In metazoan cells, Cdc42 can regulate several steps in the biosynthetic as well as endocytotic and recycling pathways. The recent discovery that the Par polarity complex co-operates with Cdc42 in the regulation of endocytosis and recycling opens exciting possibilities for the integration of polarity protein function and endocytotic machinery.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.005 |
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".