Essential role for the Prader–Willi syndrome protein necdin in axonal outgrowth
Bibliographic record
Abstract
Necdin and Magel2 are related proteins inactivated in Prader-Willi syndrome (PWS), a sporadic chromosomal deletion disorder. We demonstrate that necdin and Magel2 bind to and prevent proteasomal degradation of Fez1, a fasciculation and elongation protein implicated in axonal outgrowth and kinesin-mediated transport, and also bind to the Bardet-Biedl syndrome (BBS) protein BBS4 in co-transfected cells. The interactions among necdin, Magel2, Fez1 and BBS4 occur at or near centrosomes. Centrosomal or pericentriolar dysfunction has previously been implicated in BBS and may also be important in the features of PWS that overlap with BBS, such as learning disabilities, hypogonadism and obesity. Morphological abnormalities in axonal outgrowth and fasciculation manifest in several regions of the nervous system in necdin null mouse embryos, including axons of sympathetic, retinal ganglion cell, serotonergic and catecholaminergic neurons. These data demonstrate that necdin mediates intracellular processes essential for neurite outgrowth and that loss of necdin impinges on axonal outgrowth. We further suggest that loss of necdin contributes to the neurological phenotype of PWS, and raise the possibility that co-deletion of necdin and the related protein Magel2 may explain the lack of single gene mutations in PWS.
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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 | 0.001 |
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".