The Loss of Endoglin Promotes the Invasion of Extravillous Trophoblasts
Bibliographic record
Abstract
Endoglin is a coreceptor for TGF-β, which is expressed in syncytiotrophoblasts. The soluble form of endoglin (sEng) has been observed to increase in the serum of preeclamptic patients. Several studies have shown that endoglin is involved in cancer invasion. However, the role of endoglin in extravillous trophoblasts (EVT), which have an invasive phenotype, remains unknown. The present study was designed to investigate the expression and role of endoglin in human EVT. We found that endoglin was mainly expressed on cytotrophoblasts within the cell column during the first trimester and its expression decreased in the EVT by immunohistochemistry and immunocytochemistry. The expression of endoglin significantly increased after treatment with TGF-β1 and TGF-β3 in the human EVT cell line, HTR-8/SVneo, as detected by semiquantitative RT-PCR. To investigate the role of endoglin in EVT, the stable knockdown of endoglin was performed by lentiviral short hairpin RNA transfection into the HTR-8/SVneo cells. Although proliferation was not affected, the motility and invasiveness of the HTR-8/SVneo cells significantly increased by the knockdown of endoglin. Both the mRNA expression and secretion of urokinase-type plasminogen activator significantly increased in endoglin knockdown cells. The secretion of sEng was very low in HTR-8/SVneo, and the treatment of endoglin knockdown cells with 10 ng/ml sEng had no effect on their invasiveness. Therefore, the suppression of sEng was not involved in the increased invasiveness of endoglin knockdown cells. These results suggested that EVT increased their invasive function as a result of decreasing expression of transmembrane endoglin.
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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) | 0.001 | 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".