Proteomic Identification of AP2γ as a Rat Placental Lactogen II Trophoblast Cell-Specific Enhancer Binding Protein
Bibliographic record
Abstract
The factors that regulate the developmental expression of the rodent prolactin gene family in placenta remain poorly defined. We previously identified an enhancer element in the 5' flanking region of one family member, rat placental lactogen II (rPLII), which could target reporter gene expression to the placenta in transgenic mice; this enhancer functioned in the Rcho rat trophoblast cell line but not in the rat pituitary GC cell line. In further experiments to identify the factors that bind this element, we have selectively enriched for DNA binding proteins in nuclear extract from Rcho cells using magnetic beads coupled to a 43-bp enhancer oligonucleotide. Tryptic peptides of bound proteins were analyzed by HPLC coupled off-line to matrix-assisted laser desorption ionization time of flight mass spectrometry. Several peptides of AP2 gamma, a key trophoblast cell-specific transcription factor, were identified. Gel mobility shift assays using AP2 gamma-specific antiserum and mutant enhancer oligonucleotides demonstrated binding specifically to the FP2 DNase I-protected region of the element, identifying an atypical binding site for this factor. In cotransfection assays in rat pituitary GC cells, AP2 gamma transactivated the enhancer via this region. Chromatin immunoprecipitation assays confirmed AP2 gamma occupancy of the enhancer region in situ in the nuclei of Rcho giant cells. These data support a role for AP2 gamma in the placental giant cell-specific expression of the rPLII gene and provide the first direct evidence for the involvement of a placental-specific transcription factor in the regulation of a member of this gene family.
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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) | 0.001 | 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 | 0.001 |
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".