ERK1/2 and p38 regulate trophoblasts differentiation in human term placenta
Bibliographic record
Abstract
Mitogen-activated protein kinases (MAPKs) control many cellular events from complex programmes, such as embryogenesis, cell differentiation and proliferation, and cell death, to short-term changes required for homeostasis and acute hormonal responses. However, little is known about expression and activation of classical MAPKs, extracellular signal-regulated kinase1/2 (ERK1/2) and p38 in human placenta. Therefore, we examined the expression of ERK1/2 and p38 in trophoblasts from human term placenta, and their implication in differentiation. In vitro, freshly isolated cytotrophoblast cells, cultivated in 10% fetal bovine serum (FBS), spontaneously aggregate and fuse to form multinucleated cells that phenotypically resemble mature syncytiotrophoblasts, that concomitantly produce human chorionic gonadotropin (hCG) and human placental lactogen (hPL). This study shows that the level of ERK1/2 and p38 decreases with increasing days of culture, to reach an undetectable level after 5 days of culture. Moreover, pretreatment of cells with an ERK1/2-specific inhibitor (PD98059) and/or a p38-specific inhibitor (SB203580) suppressed trophoblast differentiation. Our results also demonstrate that the p38 pathway is highly solicited as compared to the ERK1/2 pathway in the differentiation process. Furthermore, ERK1/2 and p38 are rapidly activated upon addition of FBS, but the activation of p38 is delayed compared to that of ERK1/2. In summary, this study showed that ERK1/2 and p38 pathways are essential to mediate initiation of trophoblast differentiation.
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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".