Transglutaminase potentiates ligand-dependent proteasome dysfunction induced by polyglutamine-expanded androgen receptor
Bibliographic record
Abstract
Expansion of the CAG trinucleotide repeat encoding glutamine in the androgen receptor gene leads to spinobulbar muscular atrophy (SBMA), a neurodegenerative disorder in a family of polyglutamine diseases with enigmatic pathogenic mechanisms. One established property of glutamine residues is their ability to act as an amine accepter in a transglutaminase-catalyzed reaction, resulting in a proteolytically resistant glutamyl-lysine cross-link. To examine underlying disease mechanisms we investigated the relationship between polyglutamine-expanded androgen receptor and transglutaminase. We found androgen receptor N-terminal fragments are a substrate for transglutaminase. Western blots of the proteins following incubation with transglutaminase show that several different epitopes of the AR appear to be lost. We propose that this is due to the transglutaminase cross-linking of the AR, which interferes with antibody recognition. Furthermore, HEK GFP(u)-1 cells expressing polyglutamine-expanded androgen receptor and transglutaminase exhibit ligand-dependent proteasome dysfunction; this effect was not observed in the presence of cystamine, a transglutaminase inhibitor. In addition, transglutaminase-mediated isopeptide bonds were detected in brains of SBMA transgenic mice, but not in controls, suggesting involvement of transglutaminase-catalyzed reactions in polyglutamine disease pathogenesis. Our hypothesis is that cross-linked AR cannot to be degraded by the proteasome and obstructs the proteasome pore, preventing normal function. Because of the central role the ubiquitin-proteasome degradation system plays in fundamental cellular processes, any alteration in its function could cause cell death, ultimately contributing to SBMA pathogenesis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| 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 teacher head, 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".