Extracellular Signal-Regulated Kinases (ERKs) Pathway and Reactive Oxygen Species Regulate Tyrosine Phosphorylation in Capacitating Boar Spermatozoa1
Bibliographic record
Abstract
The extracellular signal-regulated kinase (ERK) family of the mitogen-activated protein kinase (MAPK) pathway is identified for the first time in boar sperm and is associated with capacitation and tyrosine phosphorylation (tyr-P). Reactive oxygen species (ROS) modulate this signal transduction. Western immunoblotting detected the ERK pathway components RAF1, MEK1/2, and ERK1/2 in extracts from fresh boar spermatozoa and determined that their phosphoprotein profiles differed in a capacitation-dependent fashion. Capacitation was accompanied by appearance of two new ERKs (158 and 161 kDa) and disappearance of others. Capacitation was verified with increased tyr-P, which was inhibited by a 30-min pre-exposure of fresh boar sperm to a xanthine/xanthine oxidase ROS-generating system prior to the capacitating incubation; ROS pre-exposure also affected the phosphorylation of RAF1, MEK1/2, and ERK1/2. Preincubating sperm with inhibitors of the ERK components with or without the ROS generator affected subsequent capacitation. Inhibiting ERK1/2 inhibited tyr-P of capacitated boar spermatozoa proteins of 172, 97, and 66 kDa (P ≤ 0.04); with ROS, this inhibition increased (P < 0.002) and tyr-P of 111 kDa declined (P < 0.028). Pre-exposure to ROS plus MEK1/2 inhibitor prevented capacitation-induced tyr-P of proteins of 187 (P < 0.01) and 112 kDa (P < 0.04) versus capacitation with or without ROS. Therefore, ERK1/2 components of the MAPK pathway significantly regulate boar sperm capacitation, and RAF1 and MEK1/2 may have some lesser influence through crosstalk with different pathways. ROS affect RAF1, MEK1/2, and ERK1/2 and could influence the sequential events of boar sperm capacitation.
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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 | 0.001 |
| 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".