Peptidase activities of the 20/26S proteasome and a novel protease in human brain
Bibliographic record
Abstract
Many neurodegenerative diseases are characterized by ubiquitin-positive protein aggregates or inclusion bodies. Ubiquitin-conjugated proteins are degraded by the 20/26S proteasome, and reduced proteasome peptidase activities in brain homogenates have been reported in pathologic lesions of Parkinson's and Alzheimer's diseases. However, it is unknown whether crude extracts of human brain contain other proteases having peptidase activities. We found a novel protease of molecular weight of approximately 105 kDa in normal human brain, which exhibited trypsin-like (T-L) and chymotrypsin-like (ChT-L) activities (corresponding to 52% and 21% of the total activities in crude extracts) but not peptidyl glutamyl peptide hydrolase activity. Both T-L and ChT-L activities of this protease were partially inhibited by proteasome inhibitors (MG132, lactacystin) and, in contrast to those of the proteasome, also by sodium dodecyl sulfate. A simple method to obtain a brain fraction specific to the 20/26S proteasome was developed. Our human brain data suggest that T-L and ChT-L activity levels of the proteasome reported previously may include those of the 105 kDa protease, an enzyme of as yet unknown biological significance, and that it is necessary to separate the proteasome from this protease to evaluate the actual status of the ubiquitin-proteasome system in neurodegenerative disorders.
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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 | 0.001 | 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".