The Proprotein Convertase SKI-1/S1P
Bibliographic record
Abstract
Subtilisin kexin isozyme-1 (SKI-1) represents the first mammalian member of secretory subtilisin-like processing enzymes that cleaves after nonbasic residues. It is synthesized as an inactive precursor that undergoes three sequential autocatalytic processing steps of its N-terminal prosegment and an ectodomain shedding at a site near the transmembrane domain. The various cellular functions of SKI-1 emphasize the need to understand the sites of its activation and shedding. We have previously shown that SKI-1 undergoes autocatalytic shedding at the sequence KHQKLL(953) downward arrow, resulting in a membrane-bound stump called St-1 (amino acids 954-1052). However, little is known about the cellular localization of SKI-1 or its shed forms. In the present study, we have further identified a smaller C-terminal fragment St-2 generated closer to the transmembrane domain. By sequencing and mass spectrometric analysis, the start site and the molecular mass of St-2 were determined. Site-directed mutagenesis revealed the critical amino acid involved in this novel process. Mutation of Met(990) to M990A, M990I, and M990L failed to generate St-2, suggesting an internal alternate translation event at Met(990), as confirmed by an in vitro transcription/translation assay. Confocal microscopy defined the subcellular localization of SKI-1 and its fragments. The data show that most of membrane-bound SKI-1 and its stumps St-1 and St-2 localize to the Golgi and can enter the endosomal/lysosomal compartments but do not sort to the cell surface. Deletion studies showed that the transmembrane domain of SKI-1 determines its trafficking. Finally, rSt-1 and rSt-2 seem to affect the processing of ATF6 by SKI-1, but cellular stress does not regulate the production of St-2.
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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) | 0.001 | 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 | 0.001 |
| 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".