Compartmentalized DCC signalling is distinct from DCC localized to lipid rafts
Bibliographic record
Abstract
BACKGROUND INFORMATION: Netrin-1 is a bi-functional cue that attracts or repels different classes of neurons during development. The netrin-1 receptor DCC (deleted in colorectal cancer) acts as a tyrosine kinase-associated receptor to mediate the attractive response towards netrin-1. The lipid raft-localized Src family kinase Fyn is required for DCC-mediated axon guidance. DCC functions are also dependent on lipid rafts, membrane microdomains corresponding to a low-density, detergent-resistant membrane fraction. However, it remains unclear how the association of DCC with lipid rafts controls netrin-1 signalling. RESULTS: DCC targeted to lipid rafts represented a minor proportion of total DCC inside the cell, but predominated on the cell surface of both IMR-32 human neuroblastoma cells and embryonic cortical neurons. Netrin-1 accumulated in lipid rafts, but had no effect on the targeting of DCC to that compartment, with DCC remaining on the cell surface in lipid rafts through 60 min post-treatment. However, DCC was able to interact with Fyn, both in the lipid rafts and soluble compartments isolated from embryonic E19 rat brains, whereas early downstream signalling components such as Nck-1, and total and active focal adhesion kinase were mainly localized to the non-lipid raft compartment. CONCLUSIONS: Together, these results suggest that DCC can be found in raft and non-raft portions of the plasma membrane, with early signalling events propagated by non-raft associated DCC.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".