The imprinted H19 gene regulates human placental trophoblast cell proliferation via encoding miR-675 that targets Nodal Modulator 1 (NOMO1)
Bibliographic record
Abstract
Preeclampsia is a pregnancy-specific syndrome mainly characterized by hypertensive disorder and proteinuria after gestational weeks 20. So far the etiology of preeclampsia remains unclear. We previously reported that preeclamptic placentas exhibited decreased mRNA expression and hypermethylation in promoter region of the paternally imprinted H19 gene compared with normal placentas. H19 has recently been identified to encode the precursor of miR-675, indicating a possible novel functional pathway of the imprinting gene. The aim of the present study was to identify the roles of H19 gene via miR-675 pathway in human trophoblast cells, and to figure out the involvement of this pathway in pathogenesis of preeclampsia. Knockdown of H19 gene or inhibition of miR-675 exhibited similar proliferation-promoting effect in human trophoblastic JEG-3 cells. Target gene prediction in combination with luciferase assay revealed that miR-675 could directly downregulate Nodal Modulator 1 (NOMO1) protein expression by binding to 3'-UTR sequence of NOMO1. Overexpression of NOMO1 in JEG-3 cells could rescue miR-675-surppressed cell proliferation and phosphorylation of Smad2, while Nodal had additive effect with miR-675 in suppression cell proliferation and activation of Smad2. In early-onset preeclamptic placentas, expression levels of H19 gene and miR-675 were appreciably lower, while NOMO1 protein level was higher than those in normal placentas. Taken together, our data suggested that H19 gene could inhibit human trophoblast cell proliferation via encoding miR-675 that targeted NOMO1, and aberrantly lowered expression of H19 in placenta may participate in the excessive proliferation of trophoblast cells observed in early-onset severe preeclampsia by downregulating miR-675 which targets NOMO1 and interferes with Nodal signaling.
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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".