Implantation serine proteinase 2 is a monomeric enzyme with mixed serine proteolytic activity and can silence signalling via proteinase activated receptors
Bibliographic record
Abstract
Implantation serine proteinase 2 (ISP2), a S1 family serine proteinase, is known for its role in the critical processes of embryo hatching and implantation in the mouse uterus. Native implantation serine proteinases (ISPs) are co-expressed and co-exist as heterodimers in uterine and blastocyst tissues. The ISP1-ISP2 enzyme complex shows trypsin-like substrate specificity. In contrast, we found that ISP2, isolated as a 34 kDa monomer from a Pichia pastoris expression system, exhibited a mixed serine proteolytic substrate specificity, as determined by a phage display peptide cleavage approach and verified by the in vitro cleavage of synthetic peptides. Based upon the peptide sequence substrate selectivity, a database search identified many potential ISP2 targets of physiological relevance, including the proteinase activated receptor 2 (PAR2). The in vitro cleavage studies with PAR2-derived peptides confirmed the mixed substrate specificity of ISP2. Treatment of cell lines expressing proteinase-activated receptors (PARs) 1, 2, and 4 with ISP2 prevented receptor activation by either thrombin (PARs 1 and 4) or trypsin (PAR2). The disarming and silencing of PARs by ISP2 may play a role in successful embryo implantation.
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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 | 0.001 |
| 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".