Sperm‐derived WW domain‐binding protein, PAWP, elicits calcium oscillations and oocyte activation in humans and mice
Bibliographic record
Abstract
Mammalian zygotic development is initiated by sperm-mediated intracellular calcium oscillations, followed by activation of metaphase II-arrested oocytes. Sperm postacrosomal WW binding protein (PAWP) fulfils the criteria set for an oocyte-activating factor by inducing oocyte activation and being stored in the perinuclear theca, the sperm compartment whose content is first released into oocyte cytoplasm during fertilization. However, proof that PAWP initiates mammalian zygotic development relies on demonstration that it acts upstream of oocyte calcium oscillations. Here, we show that PAWP triggers calcium oscillations and pronuclear formation in human and mouse oocytes similar to what is observed during intracytoplasmic sperm injection (ICSI). Most important, sperm-induced calcium oscillations are blocked by coinjection of a competitive inhibitor, derived from the WWI domain-binding motif of PAWP, implying the requirement of sperm PAWP and an oocyte-derived WWI domain protein substrate of PAWP for successful fertilization. Sperm-delivered PAWP is, therefore, a unique protein with a nonredundant role during human and mouse fertilization, required to trigger zygotic development. Presented data confirm our previous findings in nonmammalian models and suggest potential applications of PAWP in the diagnosis and treatment of infertility.-
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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 | 0.001 | 0.001 |
| 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".