Leukemia Inhibitory Factor Regulates Differentiation of Trophoblastlike BeWo Cells Through the Activation of JAK/STAT and MAPK3/1 MAP Kinase-Signaling Pathways1
Bibliographic record
Abstract
It is well established that syncytium formation involves the fusion of mononucleated trophoblasts into a multinucleated structure and the secretion of hormonal factors, such as human chorionic gonadotropin (hCG). These morphological and biochemical changes are regulated by a plethora of ligands, which upon binding to specific receptors trigger the activation of many signaling pathways, such as janus kinase/signal transducer and activator of transcription (JAK/STAT) and the mitogen-activated protein (MAP) kinase extracellular signal-regulated kinases 1 and 2 (MAPK3/1). We used the forskolin-induced syncytialization of trophoblastlike BeWo cells to characterize at the cellular level the effect mediated by leukemia inhibitory factor (LIF) on trophoblast differentiation and to describe its action at the molecular level. Forskolin induces both hCG secretion and BeWo cell syncytial fusion. Although LIF had no effect on the undifferentiated state of the cells, the cytokine generated a strong reduction in forskolin-induced hCG release. In contrast to its effect on hCG secretion, LIF exerts a synergistic effect toward forskolin-induced fusion. LIF reduced hormonal production through a STAT1- and STAT3-dependent mechanism, whereas MAPK3/1 was not involved in this process. However, both types of signaling molecules were required to mediate the action of LIF in forskolin-induced cell fusion. These data provide novel insights into the regulation of trophoblast cell differentiation by LIF and describe for the first time the molecular mechanism underlying the effect of the cytokine.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".