Temporal and Spatial Expression of a Novel Zinc Finger Transcription Factor, AJ18, in Developing Murine Skeletal Tissues
Bibliographic record
Abstract
Bone morphogenetic proteins (BMPs) are characterized by their ability to induce osteoblastic differentiation. However, the mechanism of osteo-induction by BMPs has yet to be determined. Using differential display we previously identified AJ18, a zinc finger transcription factor, as an immediate-early response gene to BMP-7. AJ18 was shown to bind to the osteoblast-specific element2 (OSE2) and to modulate transactivation by Runx2, a master gene in osteoblastic differentiation. Here we describe the temporal and spatial expression of AJ18 in developing mouse tissues. AJ18 mRNA expression was observed in most tissues, except liver, and was generally highest early in embryonic development, decreasing markedly after parturition. Consistent with immunohistochemical analysis, AJ18 mRNA expression was highest in the brain, kidney, and bone of 17 dpc (days post coitum) embryos. In endochondral bones of embryonic and 4-week-old mice, immunostaining for AJ18 was strong in the nuclei of proliferating and pre-hypertrophic chondrocytes, and osteoblasts, whereas there was low or no staining in hypertrophic chondrocytes. In teeth of embryonic and 4-week-old mice, nuclear staining was observed in precursor and mature ameloblasts, odontoblasts, and cementoblasts, respectively. In addition, in 4-week-old mice staining of AJ18 was observed within alveolar bone cells and periodontal ligament cells. In general, the spatial expression of AJ18 in skeletal and non-skeletal tissues of mouse embryos showed striking similarity to the expression of BMP-7 mRNA. Therefore, the expression of AJ18 is consistent with its perceived role as a transcriptional factor that regulates developmental processes downstream of BMP-7.
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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".