Hypoxia-inducible regulation of placental BOK expression
Bibliographic record
Abstract
BOK (BCL-2-related ovarian killer) is a member of the pro-apoptotic BCL-2 family that is highly expressed in the human placenta. BOK excess causes increased trophoblast autophagy and apoptosis in pre-eclampsia, a pathological condition of hypoxia and oxidative stress. In the present study, we identified an HRE (hypoxia-response element) at the junction of exon-1 and intron-1 (+229 to +279) in the human BOK gene, as well as an antisense transcript driven by a promoter located in intron-2. The isolated BOK-HRE bound hypoxia-inducible HIF (hypoxia-inducible factor) proteins in vitro as well as in trophoblastic JEG3 cells and was functional in its natural position as well as in front of a heterologous promoter. Being a reverted repeat, the BOK-HRE functioned in both orientations. This directionless feature of the BOK-HRE facilitates hypoxia regulation via HIF of both BOK and its antisense transcript as demonstrated by RNAi knockdown of the HIF system. Although the antisense transcript was expressed in several human carcinoma cell lines, including choriocarcinoma-derived JEG3 cells, no antisense-regulated mechanism for BOK expression was noted. Taken together, these findings indicate that hypoxia-induced expression of BOK in placental cells is regulated via HIF and is not affected by its antisense transcript.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".