Cytosolic Proteins Regulate α-Synuclein Dissociation from Presynaptic Membranes
Post-publication record
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Bibliographic record
Abstract
Intracellular accumulation of insoluble alpha-synuclein in Lewy bodies is a key neuropathological trait of Parkinson disease (PD). Neither the normal function of alpha-synuclein nor the biochemical mechanisms that cause its deposition are understood, although both are likely influenced by the interaction of alpha-synuclein with vesicular membranes, either for a physiological role in vesicular trafficking or as a pathological seeding mechanism that exacerbates the propensity of alpha-synuclein to self-assemble into fibrils. In addition to the alpha-helical form that is peripherally-attached to vesicles, a substantial portion of alpha-synuclein is freely diffusible in the cytoplasm. The mechanisms controlling alpha-synuclein exchange between these compartments are unknown and the possibility that chronic dysregulation of membrane-bound and soluble alpha-synuclein pools may contribute to Lewy body pathology led us to search for cellular factors that can regulate alpha-synuclein membrane interactions. Here we reveal that dissociation of membrane-bound alpha-synuclein is dependent on brain-specific cytosolic proteins and insensitive to calcium or metabolic energy. Two PD-linked mutations (A30P and A53T) significantly increase the cytosol-dependent alpha-synuclein off-rate but have no effect on cytosol-independent dissociation. These results reveal a novel mechanism by which cytosolic brain proteins modulate alpha-synuclein interactions with intracellular membranes. Importantly, our finding that alpha-synuclein dissociation is up-regulated by both familial PD mutations implicates cytosolic cofactors in disease pathogenesis and as molecular targets to influence alpha-synuclein aggregation.
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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".