Huntingtin has a membrane association signal that can modulate huntingtin aggregation, nuclear entry and toxicity
Bibliographic record
Abstract
Huntington's disease is caused by an expanded polyglutamine tract in huntingtin protein, leading to accumulation of huntingtin in the nuclei of striatal neurons. The 18 amino-acid amino-terminus of huntingtin is an amphipathic alpha helical membrane-binding domain that can reversibly target to vesicles and the endoplasmic reticulum (ER). The association of huntingtin to the ER is affected by ER stress. A single point mutation in huntingtin 1-18 predicted to disrupt this helical structure displayed striking phenotypes of complete inhibition of polyglutamine-mediated aggregation, increased huntingtin nuclear accumulation and greatly increased mutant huntingtin toxicity in a striatal-derived mouse cell line. Huntingtin vesicular interaction mediated by 1-18 is specific to late endosomes and autophagic vesicles. We propose that huntingtin has a normal biological function as an ER-associated protein that can translocate to the nucleus and back out in response to ER stress or other events. The increased nuclear entry of mutant huntingtin due to loss of ER-targeting results in increased toxicity.
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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".