Jumonji Domain Containing Protein 6: A Novel Oxygen Sensor in the Human Placenta
Bibliographic record
Abstract
Persistent low oxygen is implicated in the pathogenesis of placental-associated pathologies such as preeclampsia, a serious disorder of pregnancy. Emerging evidence implicates a novel family of Jumonji C catalytic domain proteins as mediators of hypoxic gene expression. Here, we investigated the regulatory relationship between Jumonji C domain containing protein 6 (JMJD6) and hypoxia-inducible factor (HIF)1A in the human placenta at physiological and pathological conditions. JMJD6 expression inversely correlated with changes in oxygen tension during early placental development, ie, high at 7-9 weeks when-partial pressure of O2 is low and declining afterwards when-partial pressure of O2 increases. Moreover, JMJD6 protein was significantly elevated in early-onset preeclamptic placentae, localizing to the syncytiotrophoblast layer and syncytial knots. Exposure of primary isolated trophoblast cells, human villous explants, and JEG3 choriocarcinoma cells to low oxygen (3%) and sodium nitroprusside (inducer of oxidative stress) also resulted in elevated JMJD6 levels, which was abrogated by HIF1A knockdown. In normoxia, knockdown of JMJD6 in JEG3 cells stabilized HIF1A with a concomitant decrease in von Hippel-Lindau (VHL) tumor suppressor protein, a negative regulator of HIF1A stability. In contrast, overexpression of JMJD6 enhanced VHL expression and destabilized HIF1A. JMJD6 regulation of VHL stability did not involve the ubiquitin-proteasome system but likely occurred through lysyl hydroxylation and small ubiquitin-like modifier 1-dependent small ubiquitin-like modifierylation. In summary, our data signify a novel role for JMJD6 as an oxygen sensor in the human placenta, and alterations in the JMJD6-VHL-HIF1A feedback loop may indirectly contribute to elevated HIF1A found in preeclampsia.
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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".