Fibroblast Growth Factor Receptor 4 Is a Target for the Zinc-Finger Transcription Factor Ikaros in the Pituitary
Bibliographic record
Abstract
Fibroblast growth factor receptors (FGFRs) have been implicated in a multitude of endocrine cell hormonal and proliferative properties, and FGFR4 is differentially expressed in normal and neoplastic pituitary. We therefore examined the functionally important cis-DNA elements and multiprotein complexes implicated in the cooperative control of expression of the human FGFR4 gene in pituitary cells. Using deletional mapping, we defined a 214-bp (-115/+99) promoter that was functional in pituitary GH4 and PRL 235 cells. Overlapping 40- to 50-bp fragments of this minimal promoter were examined by EMSA. Interestingly, fragment C (-64/-26) included potential binding sites for the hematopoietic zinc finger-containing transcription factor Ikaros (Ik) flanked by binding sites for Sp and Ets-type factors. DNA binding by Ik, Sp, and Ets-like factors was confirmed by oligonucleotide competition and supershifting with specific antibodies. Transcriptional regulation of FGFR4 by Ik was demonstrated by cotransfection of Ik1 with or without Sp1 or Ets overexpression and by disruption of the Ik binding site. Although both Ets-1 and Sp1 overexpression stimulated promoter activity, mutation of the Ik-binding site completely eliminated the Ik1 effect. Specific Ik expression was identified by Western blotting of pituitary GH4 and PRL235 cells and localized in primary mouse hormone-producing anterior pituitary cells by immunocytochemistry. Our findings point to a new role for Ik outside the hematopoietic system and suggest a novel transcriptional contribution with Ets and Sp1 in regulation of FGFR4 in the pituitary.
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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 | 0.001 | 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 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".