FOXC1 negatively regulates BMP-SMAD activity and Id1 expression during osteoblast differentiation
Bibliographic record
Abstract
Abstract Bone morphogenetic proteins regulate a diverse range of biological processes through their activation of SMAD1, 5, or 8 proteins that in turn regulate gene expression. These SMAD transcription factors achieve a layer of functional specificity in different cells types largely through actions with additional transcriptional regulatory molecules. In this report we demonstrate that the Forkhead Box C1 (FOXC1) transcription factor can modulate BMP signalling to impair expression of BMP4-responsive genes and prevent efficient osteoblast differentiation. We demonstrate that repression occurs downstream of BMP signalling and impacts the ability SMAD1 or 5 to activate gene expression. Repression of SMAD activity requires FOXC1 DNA-binding capacity and the transcriptional inhibitory domain of FOXC1. We report that FOXC1 inhibits BMP4 induction of Id1 expression and identify a motif in the regulatory region of mouse Id1 gene that FOXC1 binds. We determine that this inhibition by FOXC1 binding does not affect SMAD1, 5, or 8 binding to its target sequence in the Id1 gene. Finally we determine that elevated expression of FOXC1 can reduces expression osteogenic differentiation genes in mouse embryonic stems directed to the osteoblast lineage through BMP4 treatment. Together, these findings indicate that FOXC1 can negative regulate certain aspects of BMP4 signalling required for osteoblast differentiation. We propose that FOXC1 acts to attenuate the initial BMP-activated pathways that establishes osteoblast differentiation and allow for terminal osteoblast differentiation to conclude.
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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".