Multiple Signaling Mechanisms of the UNC-6/netrin Receptors UNC-5 and UNC-40/DCC <i>in Vivo</i>
Bibliographic record
Abstract
Cell and growth cone migrations along the dorsoventral axis of Caenorhabditis elegans are mediated by the UNC-5 and UNC-40 receptor subtypes for the secreted UNC-6 guidance cue. To characterize UNC-6 receptor function in vivo, we have examined genetic interactions between unc-5 and unc-40 in the migrations of the hermaphrodite distal tip cells. We report that cell migration defects as severe as those associated with a null mutation in unc-6 are produced only by null mutations in both unc-5 and unc-40, indicating that either receptor retains some partial function in the absence of the other. We show that hypomorphic unc-5 alleles exhibit two distinct types of interallelic genetic interactions. In an unc-40 wild-type genetic background, some pairs of hypomorphic unc-5 alleles exhibit a partial allelic complementation. In an unc-40 null background, however, we observed that unc-5 hypomorphs exhibit dominant negative effects. We propose that the UNC-5 and UNC-40 netrin receptors can function to mediate chemorepulsion in DTC migrations either independently or together, and the observed genetic interactions suggest that this flexibility in modes of signaling results from the formation of a variety of oligomeric receptor complexes.
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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) | 0.001 | 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".