Phosphorylation of the Arginine-X-X-(Serine/Threonine) motif in human sperm proteins during capacitation: modulation and protein kinase A dependency
Bibliographic record
Abstract
Sperm capacitation is a complex process that involves a protein kinase A (PKA)-dependent tyrosine phosphorylation of proteins. We studied the time-course, the modulation and the cellular localization of the phosphorylation of the Arginine-X-X-(Serine/Threonine) motif, characteristic of PKA substrates, in sperm proteins during capacitation. There was an increased phosphorylation of 80 (p80) and 105 (p105) kDa protein bands in human sperm treated with different capacitation inducers. Phosphorylation of p80 and p105 induced by fetal cord serum ultrafiltrate or the combination of 3-isobutyl-1-methylxanthine and dibutyryl cAMP was prevented by H89 and Rp-adenosine-3',5'-cyclic monophosphorothionate, confirming the involvement of PKA in this effect. Inhibitors of protein kinase C, receptor type tyrosine kinase and mitogen-activated protein kinase kinase did not affect the Arginine-X-X-(Serine/Threonine) motif phosphorylation. Non-receptor type protein tyrosine kinase inhibitors, PP2 and herbimycin A, enzymatic antioxidants and a nitric oxide synthase inhibitor prevented the phosphorylation of p80 and p105 when sperm were incubated with fetal cord serum ultrafiltrate. The phosphorylated Arginine-X-X-Serine/Threonine motif was immunolocalized all along the flagellum and the fluorescent signal was higher in capacitating than in non-capacitating sperm. These results show for the first time the presence of a PKA-dependent phosphorylation of proteins in human sperm capacitation and its upstream modulation by reactive oxygen species and non-receptor type protein tyrosine kinase.
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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 | 0.000 |
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".