Stimulation of the human CTP:phosphoethanolamine cytidylyltransferase gene by early growth response protein 1
Bibliographic record
Abstract
Change in phosphoethanolamine pool size in tumor tissues is an important indicator of tumor prognosis and drug therapy efficacy. Phosphoethanolamine is the substrate of the regulatory enzyme CTP:phosphoethanolamine cytidylyltransferase (ECT) in the de novo biosynthesis of phosphatidylethanolamine (PE). Metabolic labeling with [14C]ethanolamine revealed a reduced ECT activity in MCF-7 breast cancer cells, which led to an accumulation of phosphoethanolamine and a decrease in PE synthesis in comparison with MCF-10A mammary epithelial cells. The enhanced ECT activity in MCF-10A cells was due to significantly elevated CTP:phosphoethanolamine cytidylyltransferase gene (PCYT2) expression, at the level of promoter activity, mRNA, and protein content. The early growth response protein 1 (EGR1) could account for most of the elevated ECT activity in MCF-10A cells relative to MCF-7 cells, as evidenced by promoter-luciferase reporter assays, gel-shift analyses, and by alterations in the EGR1 gene expression. In MCF-7 cells, EGR1 is present at lower levels and the basal PCYT2 promoter activity is maintained by proximal CAAT and GC regions and by elevated nuclear NFkappaB activity. Together, these data demonstrate that EGR1 is an important transcriptional stimulator of the human PCYT2 and that conditions that modify EGR1 also affect the function of ECT and consequently PE synthesis.
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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) | 0.002 | 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".