Identification of FGF2-Response Element in the Rat Bone Sialoprotein Gene Promoter
Bibliographic record
Abstract
Bone sialoprotein (BSP), an early marker of osteoblast differentiation, has been implicated in the nucleation of hydroxyapatite during de novo bone formation. Basic fibroblast growth factor (FGF2) is recognized as a potent mitogen for a variety of mesenchymal cells. In skeletal tissues, FGF2 produced by osteoblasts accumulates in the bone matrix and acts as an autocrine/paracrine regulator of bone cells. To determine the molecular mechanism of FGF2 regulation of osteogenesis, we have analyzed the effects of FGF2 on the expression of BSP in the rat osteosarcoma cell line ROS 17/2.8. FGF2 at 10 ng/ml, increased BSP mRNA levels approximately 4-fold; the stimulation was first evident at 3 hr, reached maximal levels at 6 hr. The stability of the BSP mRNA was not significantly affected by FGF2, suggesting that the increased mRNA was due to increased transcription. From transient transfection analyses using various BSP promoter-luciferase constructs, a FGF2 response element (FRE) (nts -92 to -85, "GGTGAGAA") was identified as a target of transcriptional activation by FGF2. Ligation of two copies of the FRE 5' to an SV40 promoter was sufficient to confer FGF responsive transcription. A sequence-specific protein-DNA complex, formed with a double-stranded oligonucleotide encompassing the FRE and nuclear extracts from ROS 17/2.8 cells, but not from fibroblasts, was increased following FGF2 stimulation. Several point mutations within the critical FRE sequence abrogated the formation of this complex and suppressed both basal and FGF2-mediated promoter activity. Thus, we have identified a novel FRE within the proximal promoter of the BSP gene that mediates both constitutive and FGF2-induced BSP transcription.
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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 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".