Faculty Opinions recommendation of UNC-6/Netrin induces neuronal asymmetry and defines the site of axon formation.
Bibliographic record
Abstract
UNC-6/Netrin and its receptor UNC-40/DCC are conserved regulators of growth cone guidance. By directly observing developing neurons in vivo, we show that UNC-6 and UNC-40 also function during axon formation to initiate, maintain and orient asymmetric neuronal growth. The immature HSN neuron of Caenorhabditis elegans breaks spherical symmetry to extend a leading edge toward ventral UNC-6. In unc-6 and unc-40 mutants, leading edge formation fails, the cell remains symmetrical until late in development and the axon that eventually forms is misguided. Thus netrin has two activities: one that breaks neuronal symmetry and one that guides the future axon. As the axon forms, UNC-6, UNC-40 and the lipid modulators AGE-1/phosphoinositide 3-kinase (PI3K) and DAF-18/PTEN drive the actin-regulatory pleckstrin homology (PH) domain protein MIG-10/lamellipodin ventrally in HSN to promote asymmetric growth. The coupling of a directional netrin cue to sustained asymmetric growth via PI3K signaling is reminiscent of polarization in chemotaxing cells. PMID: 16520734 Funding information This work was supported by: NIGMS NIH HHS, United States Grant ID: F32 GM084661-01 NIGMS NIH HHS, United States Grant ID: F32 GM084661
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.370 | 0.196 |
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".