Spastin and atlastin, two proteins mutated in autosomal-dominant hereditary spastic paraplegia, are binding partners
Bibliographic record
Abstract
The pure hereditary spastic paraplegias (HSPs) are a group of conditions in which there is a progressive length-dependent degeneration of the distal ends of the corticospinal tract axons, resulting in spastic paralysis of the legs. Pure HSPs are most frequently inherited in an autosomal-dominant pattern and are commonly caused by mutations either in the SPG4 gene spastin or in the SPG3A gene atlastin. To identify binding partners for spastin, we carried out a yeast two-hybrid screen on a brain cDNA library, using spastin as bait. Remarkably, nearly all of the positive interacting prey clones coded for atlastin. We have verified the physiological relevance of this interaction using co-immunoprecipitation, glutathione S-transferase pull-down and intracellular co-localization experiments. We show that the spastin domain required for binding to atlastin lies within the N-terminal 80 residues of the protein, a region that is only present in the predominantly cytoplasmic, full-length spastin isoform. These data suggest that spastin and atlastin function in the same biochemical pathway and that it is the cytoplasmic function of spastin which is important for the pathogenesis of HSP. They also provide further evidence for a physiological and pathological role of spastin in membrane dynamics.
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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 | 0.000 |
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".