Characterization of a Novel KRAB/C2H2Zinc Finger Transcription Factor Involved in Bone Development
Bibliographic record
Abstract
Osteogenic differentiation involves a cascade of coordinated gene expression that regulates cell proliferation and matrix protein formation in a defined temporo-spatial manner. Here we have used differential display to identify a novel zinc finger transcription factor (AJ18) that is induced during differentiation of bone cells in vitro and in vivo. The 64-kDa protein, encoded by a 7- kilobase mRNA, contains a Krüppel-associated box (KRAB) domain followed by 11 successive C(2)H(2) zinc finger motifs. AJ18 mRNA, which is also expressed in kidney and brain, is developmentally regulated in embryonic tibiae and calvariae, with little expression in neonate and adult animals. During osteogenic differentiation in vitro AJ18 mRNA is expressed as cells approach confluence and declines as bone formation occurs. Using bacterially expressed, His-tagged AJ18 in a target detection assay, we identified a consensus binding sequence of 5'-CCACA-3', which forms part of the consensus element for Runx2, a master gene for osteogenic differentiation. Overexpression of AJ18 suppressed Runx2-mediated transactivation of an osteocalcin promoter construct in transient transfection assays and reduced alkaline phosphatase activity in bone morphogenetic protein-induced C3H10T1/2 cells. These studies, therefore, have identified a novel zinc finger transcription factor in bone that can modulate Runx2 activity and osteogenic differentiation.
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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 | 0.001 |
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".