Placental cytotrophoblast microvillar stabilization is required for cell-cell fusion
Bibliographic record
Abstract
Abstract The placenta is an essential organ of pregnancy required for maternal-fetal transport and communication. The surface of the placenta facing the maternal blood is formed by a single giant multinucleate cell: the syncytiotrophoblast. The syncytiotrophoblast is formed and maintained via fusion of progenitor cytotrophoblasts. Cell-cell fusion is a tightly regulated process, and in non-trophoblastic cells is accompanied by stereotypical alterations in cell shape by cells that have attained fusion-competence. The most prominent feature is the formation of actin-based membrane protrusions, but whether stereotypic morphological changes occur in fusion-competent cytotrophoblasts has not been characterized. Using a human placental explant model, we characterized cell shape factors associated with the attainment of cytotrophoblast fusion competence. We found that fusion-competent cytotrophoblasts are hypertrophic, elongated cells, that form microvilli at the apical membrane. The actin-membrane cross linker protein ezrin was found to have highly polarized expression within cytotrophoblast microvilli. Inhibition of ezrin activation destabilized cytotrophoblast microvilli and prevented cytotrophoblast fusion. Thus, we propose that the polarized activation of ezrin within apical microvilli and actin-mediated changes in membrane dynamics are necessary for cytotrophoblast fusion. Summary statement Fusion-competent cytotrophoblasts undergo dynamic changes in cell morphology including the acquisition of apically localized microvilli. Microvillar stabilization facilitates effective fusion and 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".