The Combined Effects of Recombinant Human Oviductin (rHuOVGP1) and Progesterone on Tyrosine Phosphorylation of Sperm Proteins
Bibliographic record
Abstract
Worldwide, around 15% of couples who seek to conceive suffer from infertility. Assisted reproductive technology (ART) would have never been possible without research endeavors. However, to further improve the fertilization rates of ART procedures, there is still more to be done. The mammalian oviductal cells synthesize and secrete a major glycoprotein know as oviductin, or oviduct-specific glycoprotein (OVGP1). This protein has been implicated in enhancing sperm capacitation, sperm motility, sperm penetration and fertilization. Our lab has successfully produced recombinant human oviductin (rHuOVGP1), which has been shown to enhance tyrosine phosphorylation of sperm proteins, a biochemical hallmark of capacitation that takes place in the sperm tail. Additionally, the sex hormone progesterone (P4) has been implicated in increasing the influx of calcium ions through the CatSper channel which is similarly located in the sperm tail and is an important aspect of capacitation. Here we performed a study in the hope of gaining a better understanding of the mechanism of sperm capacitation by examining if rHuOVGP1 works synergistically with P4 to regulate tyrosine phosphorylation of sperm proteins during capacitation. Fresh sperm samples were processed and capacitated at different time points in the absence or presence of rHuOVGP1 (50 mg/mL) with or without P4. The results obtained indicate that both rHuOVGP1 and P4 can enhance tyrosine phosphorylation of sperm proteins, however, the best result was obtained when rHuOVGP1 was used in combination with P4. The addition of rHuOVGP1 with P4 to the capacitation medium may improve the fertilization rates of ART procedures.
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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".