A stress sensitive ER membrane-association domain in Huntingtin protein defines a potential role for Huntingtin in the regulation of autophagy
Bibliographic record
Abstract
We have recently published the precise definition of an aminoterminal membrane association domain in huntingtin, capable of targeting to the endoplasmic reticulum and late endosomes as well as autophagic vesicles. In response to ER stress induced by several pathways, huntingtin releases from membranes and rapidly translocates into the nucleus. Huntingtin is then capable of nuclear export and re-association with the ER in the absence of stress. This release is inhibited when huntingtin contains the polyglutamine expansion seen in Huntington's disease. As a result, mutant huntingtin expressing cells have a perturbed ER and an increase in autophagic vesicles. Here, we discuss the potential function of the huntingtin protein as an ER sentinel, potentially regulating autophagy in response to ER stress. We compare these recent findings to the well characterized mammalian target of rapamycin, mTor, a protein described over a decade ago as related to huntingtin structurally by leucine-rich, repetitive HEAT sequences. Since then, the described functional similarities between Huntingtin and mTor are striking, and this new information about huntingtin's direct association with autophagic vesicles indicates that this structural similarity may extend to functional similarities having an impact upon ER functionality and autophagy.
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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) | 0.000 | 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".