Control of <i>Fiat</i> (factor inhibiting ATF4‐mediated transcription) expression by Sp family transcription factors in osteoblasts
Bibliographic record
Abstract
FIAT (factor inhibiting ATF4-mediated transcription) represses Osteocalcin gene transcription and inhibits osteoblast activity by heterodimerizing with ATF4 to prevent it from binding DNA. It thus appears important to identify and characterize the molecular mechanisms that control Fiat gene expression in osteoblasts. In silico sequence analysis identified a canonical GC-box within a 1,400 bp region of the proximal Fiat gene promoter. Electrophoretic mobility shift assays (EMSA) with MC3T3-E1 osteoblastic cells nuclear extracts indicated that the transcription factors Sp1 and Sp3, but not Sp7/OSTERIX, bound this proximal GC-box. Chromatin immunoprecipitation confirmed interaction of the two transcription factors with the Fiat promoter GC-element in living osteoblasts. Transient transfection studies showed that Sp1 dose-dependently activated the expression of a Fiat-luciferase reporter construct while both the long or short isoforms of Sp3 dose-dependently inhibited transcription from the Fiat reporter construct. Transfection of an Sp7/OSTERIX expression vector did not affect expression of the Fiat-luciferase reporter. Co-transfection of increasing amounts of the Sp3 expression vector in the context of maximal Sp1-dependent Fiat-luciferase activation led to dose-dependent repression of the expression of the reporter. Using RNA knockdown, we measured a reduction in steady-state Fiat expression when Sp1 was inhibited, and a reciprocal increase upon Sp3 knockdown. In parallel, treatment of osteoblasts with WP631, which prevents Sp1/DNA interactions, strongly inhibited the expression of Fiat and reduced the occupancy of the Fiat promoter proximal GC-box by Sp1. Taken together, our results suggest an interplay between Sp1 and Sp3 as a mechanism involved in the control of Fiat gene expression in osteoblasts.
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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".