<scp> <i>UBE3A</i> </scp> Inhibits Trophoblast Cell Migration and Invasion by Promoting <scp> <i>ITGB1</i> </scp> Degradation and Affecting <i> <scp>PI3K</scp> / <scp>AKT</scp> </i> Signaling
Bibliographic record
Abstract
Preeclampsia (PE) is an obstetric disease that is characterized by reduced migration and invasion of placental trophoblast cells. Here, the effects of the E3 ubiquitin ligase UBE3A on the migration and invasion of trophoblast cells were evaluated. RT-qPCR and Western blotting were used to measure the expression of genes and proteins. Immunohistochemical (IHC) staining was used to determine UBE3A and ITGB1 levels in the placental tissues of PE patients. Cell viability was evaluated with a CCK-8 assay. Wound healing and Transwell assays were used to evaluate cell migration and invasion, respectively. Cell cycle progression and apoptosis were analyzed by flow cytometry. Co-immunoprecipitation (Co-IP) was used to verify molecular interactions. Our results revealed that the mRNA and protein levels of UBE3A were upregulated, whereas ITGB1 expression was downregulated in the placental tissues of PE patients. Depletion of UBE3A promoted the migration and invasion of HTR-8/SVneo cells while inhibiting apoptosis. The phosphorylation of PI3K and AKT increased after UBE3A was silenced. Mechanistically, UBE3A induced the ubiquitination and degradation of ITGB1. Functionally, UBE3A reduced cell migration and invasion, as well as induced apoptosis by negatively regulating ITGB1 mediating PI3K/AKT signaling. In summary, our results revealed that UBE3A hindered the migration and invasion of trophoblast cells by facilitating ITGB1 degradation and affecting PI3K/AKT signaling, providing a new therapeutic target for PE treatment.
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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".