Degradation of nicastrin involves both proteasome and lysosome
Bibliographic record
Abstract
The glycoprotein nicastrin (NCT) is an essential component of the gamma-secretase complex, a high molecular weight complex which also contains the presenilin proteins, Aph-1 and Pen-2. The gamma-secretase complex is not only involved in APP processing but also in the processing of an increasing number of other type I integral membrane proteins. As the largest subunit of the gamma-secretase complex, NCT plays a crucial role in its activation. Considerable information exists on the distribution, structure and function of NCT; however, little is known of its proteolysis. The present study is aimed at exploring the molecular mechanism of NCT degradation. We found that either proteasomal or lysosomal inhibition can significantly increase the levels of both endogenous and exogenous NCT in various cell lines, and the effect of these inhibitions on NCT was time- and dose-dependent. Immunofluorescent microscopic analysis revealed that NCT accumulates in the ER and Golgi apparatus after proteasomal inhibition, while lysosomal inhibition leads to the accumulation of NCT in the lysosomal apparatus. Co-immunoprecipitation can pull down both NCT and ubiquitin. Taken together, our results demonstrate that NCT degradation involves both the proteasome and the lysosome.
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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) | 0.001 | 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".