Presenilin 1 Regulates Pharmacologically Distinct γ-Secretase Activities
Bibliographic record
Abstract
Presenilins (PSs) are polytopic membrane proteins that have been implicated as potential therapeutic targets in Alzheimer's disease because of their role in regulating the gamma-secretase cleavage that generates the amyloid beta protein (Abeta). It is not clear how PSs regulate gamma-secretase cleavage, but there is evidence that PSs could be either essential cofactors in the gamma-secretase cleavage, gamma-secretase themselves, or regulators of intracellular trafficking that indirectly influence gamma-secretase cleavage. Using presenilin 1 (PS1) mutants that inhibit Abeta production in conjunction with transmembrane domain mutants of the amyloid protein precursor that are cleaved by pharmacologically distinct gamma-secretases, we show that PS1 regulates multiple pharmacologically distinct gamma-secretase activities as well as inducible alpha-secretase activity. It is likely that PS1 acts indirectly to regulate these activities (as in a trafficking or chaperone role), because these data indicate that for PS1 to be gamma-secretase it must either have multiple active sites or exist in a variety of catalytically active forms that are altered to an equivalent extent by the mutations we have studied.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".