Implication of cAMP during porcine sperm capacitation and protein tyrosine phosphorylation
Bibliographic record
Abstract
Second messengers are involved in sperm fertilizing potential, as both motility and the acrosome reaction are influenced by cAMP. Moreover, the activity of cyclic nucleotides is implicated in the appearance of tyrosine phosphorylated sperm proteins, which is associated with capacitation in the mammalian spermatozoa. Nevertheless, the involvement of the cAMP/protein kinase A (PK-A) pathway during pig sperm capacitation may be different from that observed in other mammals. The objective of the present study was to clarify the cAMP/PK-A pathway during the capacitation of porcine spermatozoa and to evaluate this impact on the p32 sperm tyrosine phosphoprotein appearance. The presence of p32 was assessed after incubating fresh pig sperm with IBMX/db-cAMP, H-89, a PK-A inhibitor or bistyrphostin, a tyrosine kinase inhibitor, in capacitating (CM) or non-capacitating conditions (NCM) by immunoblotting SDS-extracted and separated sperm proteins using an anti-phosphotyrosine antibody. When pig spermatozoa were incubated in CM supplemented with H-89 (50 microM) or bistyrphostin (1.2 microM), capacitation decreased significantly (P < 0.001). The p32 sperm tyrosine phosphoprotein, previously shown to be associated with capacitation of porcine sperm though not necessarily an end point of this phenomenon, was not modulated by IBMX/db-cAMP (100 microM/1 mM), H-89 (50 microM) nor bistyrphostin (1.2 microM). Our results indicate, therefore, that pig sperm are regulated somewhat differently than as described for other mammals, because although the cAMP/PK-A and tyrosine kinase pathways are involved in capacitation, they do not influence the appearance of p32.
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) | 0.002 | 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".