Methoxychlor stimulates the mouse lactoferrin gene promoter through a GC-rich element
Bibliographic record
Abstract
The lactoferrin gene in the mouse uterus is a target gene for natural estrogens and xenoestrogens. One of the xenoestrogens is methyoxychlor, an insecticide that displays both estrogenic and antiandrogenic activities. Recently, methyoxychlor was found to stimulate lactoferrin gene expression in the uterus of an estrogen receptor null mouse. The present study is designed to uncover the methoxychlor response region in the mouse lactoferrin gene promoter. A series of different lengths of the mouse lactoferrin gene 5' flanking region were linked to a chloramphenicol acetyltransferase (CAT) reporter construct and transfected into human endometrial carcinoma HEC-1B cells, an estrogen receptor null cell line, in order to examine the methoxychlor response. The transfected cells were treated with methoxychlor or the metabolite of methoxychlor, HPTE, and the CAT reporter activities were measured. Constructs that contain a mouse lactoferrin 5' region longer than 100 bp were activated more than twofold by both methoxychlor and HPTE. The activation of the CAT reporter by the chemicals was dose dependent and reached saturation. Additional deletion mutants within the 100-bp region were tested, and a GC-rich sequence (GC-II) that we have previously characterized as an epidermal growth factor (EGF) response element was identified to be the region for the methoxychlor response. GC-II binds Sp1, Sp3, and IKLF transcription factors, collaborates with the AP1/CREB binding element, and confers the EGF response. Whether the effect of methoxychlor requires the AP1/CREB binding element has yet to be established; however, the present finding provides an alternative signaling pathway for the xenoestrogens.
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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".