Overexpression of Human CRB1 or Related Isoforms, CRB2 and CRB3, Does Not Regulate the Human Presenilin Complex in Culture Cells
Bibliographic record
Abstract
The presenilin proteins (PS1 and PS2) with their partners (NCT, Aph1, and Pen2) are the major components of the high molecular weight gamma-secretase complex which facilitates the intramembraneous cleavage of various type 1 transmembrane proteins, including the amyloid-beta precursor protein (APP) and the Notch receptor. Additional gamma-secretase complex components may be involved in regulation of its activity and specificity. A recent investigation indicated that the Crumbs protein is a negative regulator of Notch signaling and may act by repressing gamma/epsilon-secretase activity in Drosophila [Herranz, H., Stamataki, E., Feiguin, F., and Milan, M. (2006) EMBO Rep. 7, 297-302]. To address this question, we investigated potential functional interactions between the human Crumbs homologues (CRB1, CRB2, and CRB3) and presenilin complexes which mediate gamma/epsilon-secretase cleavage of APP and Notch. We found no evidence for direct interaction between CRB1, CRB2, or CRB3 and presenilin complex components. Furthermore, overexpression of human CRB1 and related isoforms, CRB2 and CRB3, had no effect on the levels of presenilin complex components, on NCT maturation or on PS endoproteolysis, and did not alter Abeta AICD or NICD production. These results suggest that, in mammalian cells at least, Crumbs is unlikely to be a significant direct modulator of presenilin-dependent gamma/epsilon-secretase activity.
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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) | 0.002 | 0.001 |
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".