In Vitro Regulatory Effect of Epididymal Serpin CRES on Protease Activity of Proprotein Convertase PC4/PCSK4
Bibliographic record
Abstract
PC4 or PCSK4 belongs to the 9-member superfamily of mammalian subtilases collectively called Proprotein Convertases or Proprotein Convertase Subtilisin/Kexins that convert inactive precursor proteins into their active mature forms by endoproteolytic cleavage. PC4-activity plays a crucial role in mammalian fertilization via activation of sperm surface proteins. PC4 knockout mice exhibit severely impaired male fertility due to premature sperm acrosome reaction. Regulation of sperm-PC4 activity during its storage and transport through epididymis is an important determinant for ultimate egg-binding and fertilizing capacities of sperms. Herein we show that epididymal serpin CRES (cystatin related epididymal spermatogenic) recombinant protein inhibits PC4 activity in vitro in a differential manner when measured against the fluorogenic substrate Boc- RVRR-MCA depending on its oligomeric state. Thus while CRES-dimer exhibits Ki ~8 μM, the corresponding monomer showed Ki > 100 μM. Both forms also blocked PC4-mediated processing of human proIGF-2 in human placenta tropoblast cell line with dimer being more efficient. Using specific inhibitors and substrates, we also demonstrated the presence of PC4-like activity and CRES protein in varying levels in the fluids of various epididymal compartments. Our observations suggest a potential function of CRES as a regulator of PC4 in sperm-egg interaction and fertilization. Keywords: Proprotein convertase 4, proprotein convertase subtilisin kexin 4, serpin, epididymal fluid, cystatin related epididymal spermatogenic, inhibitor, protein aggregation, proprotein processing, yeast kexin, bacterial subtilisin, proneuropeptides, prohormones, maturation, autocatalysis, fertilization.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
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".