Translational Regulation of Prostaglandin Endoperoxide H Synthase-1 mRNA in Megakaryocytic MEG-01 Cells
Bibliographic record
Abstract
Prostaglandin endoperoxide H synthase-1 (PGHS-1) is an abundant enzyme in platelets, where it plays a key role in the cascade of prostanoid formation. In platelets, the primary site of PGHS-1 synthesis is in precursor megakaryocytic cells. We have previously shown that in megakaryocytic MEG-01 cells, TPA induces an increase of PGHS-1 mRNA within a few hours, whereas protein increase occurs after several days of treatment. We now report that the delayed increase in PGHS-1 protein is caused by translational regulation. De novo PGHS-1 synthesis, measured using [(35)S]methionine pulse labeling followed by immunoprecipitation, was detected at day 4 after TPA treatment but not at day 1. To identify a potential element of PGHS-1 mRNA controlling translation, we compared the 3'-untranslated region from different species and identified a 20-nt segment perfectly conserved. The 20-nt segment was used as a probe in RNA gel mobility-shift assays using MEG-01 extracts from control cells or from TPA-treated cells. Four complexes were formed with extracts from control cells or cells treated with TPA for 1 day but were not observed with extracts from cells treated for 4 days. Of the 4 complexes, one was sequence-specific and binding involved uridylate residues and interactions with a 45-kDa protein and a protein doublet of 116 kDa. Binding of this 45/116-kDa complex to the 20-nt conserved cis element most likely regulates negatively PGHS-1 protein accumulation. We have provided evidence that the PGHS-1 gene is regulated at the translational level.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".