Mechanism of transcriptional regulation of LRP16 gene expression by 17-β estradiol in MCF-7 human breast cancer cells
Bibliographic record
Abstract
LRP16 gene expression is induced by 17-betaestradiol (E2) via estrogen receptor alpha (ERalpha) in MCF-7 human breast cancer cells. A previous study also demonstrated that ectopic expression of LRP16 gene promoted MCF-7 cell proliferation. To explore the mechanism of hormone-induced LRP16 gene expression, the LRP16 gene promoter region (-2600 to -24 bp upstream of the LRP16 gene translation starting site) was analyzed in the present study by using different 5'-truncated constructs, and a luciferase reporter. The 5'-flanking sequence of -676 to -24 bp (pGL3-S5) was found to be E2-responsive. After exchange of the fragment from -213 to -24 bp with the TK gene proximal promoter region in pGL3-S5, E2 still induced reporter gene activity in MCF-7 and HeLa cells. Sequence analysis showed that the pGL3-S6 (-676 to -214) sequence contains two motifs that may contribute to E2-induced transactivation; namely, an estrogen-responsive element (ERE) half-site/Sp1 at -246 to -227 bp and an E-box site at -225 to -219 bp. Further deletion and mutation analysis of these two motifs indicated that both the 1/2 ERE and Sp1 binding sites were required for E2 action, while E-box deletion did not affect the luciferase activity in MCF-7 and HeLa cells. The results of gel mobility shift and chromatin immunoprecipitation assays confirmed that both ERalphaand Sp1 were required for hormone-induced transactivation, which involved both ERalphaand Sp1 directly binding to DNA. Taken together, these findings suggest that ERalphaand Sp1 play a role in activation of the human LRP16 gene promoter.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".