An ALS-associated mutation in human FUS reduces neurotransmission from <i>C. elegans</i> motor neurons to muscles
Bibliographic record
Abstract
Abstract Amytrophic lateral sclerosis (ALS) is a neurodegenerative disorder that has been associated with multiple genetic lesions, including mutations in the gene FUS (Fused in Sarcoma), an RNA/DNA-binding protein. Expression of the ALS-associated human FUS in C. elegans results in mislocalization and aggregation of FUS outside the nucleus, and leads to impaired neuromuscular behaviors. However, the mechanisms by which mutant FUS disrupts neuronal health and function remain partially understood. Here we investigated the impact of ALS-associated FUS on motor neuron health using correlative light and electron microscopy, electron tomography, and electrophysiology. Expression of ALS-associated FUS impairs synaptic vesicle docking at neuromuscular junctions, and leads to the emergence of a population of large and electron-dense filament-filled endosomes. Electrophysiological recording of neuromuscular transmission revealed reduced transmission from motor neurons to muscles. Together, these results suggest a potential direct or indirect role of human FUS in the organization of synaptic vesicles, and reduced transmission from motor neurons to muscles. Summary statement An ALS-associated mutation in a trafficking protein disrupts the organization of the C. elegans neuromuscular junction.
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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) | 0.002 | 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".