Factor XIIIA transglutaminase expression and secretion by osteoblasts is regulated by extracellular matrix collagen and the MAP kinase signaling pathway
Bibliographic record
Abstract
Osteoblast differentiation is regulated by the presence of collagen type I (COL I) extracellular matrix (ECM). We have recently demonstrated that Factor XIIIA (FXIIIA) transglutaminase (TG) is required by osteoblasts for COL I secretion and extracellular deposition, and thus also for osteoblast differentiation. In this study we have further investigated the link between COL I and FXIIIA, and demonstrate that COL I matrix increases FXIIIA levels in osteoblast cultures and that FXIIIA is found as cellular (cFXIIIA) and extacellular matrix (ecmFXIIIA) forms. FXIIIA mRNA, protein expression, cellular localization and secretion were enhanced by ascorbic acid (AA) treatment and blocked by dihydroxyproline (DHP) which inhibits COL I externalization. FXIIIA mRNA was regulated by the MAP kinase pathway. Secretion of ecmFXIIIA, and its enzymatic activity in conditioned medium, were also decreased in osteoblasts treated with the lysyl oxidase inhibitor β-aminopropionitrile, which resulted in a loosely packed COL I matrix. Osteoblasts secrete a latent, inactive dimeric ecmFXIIIA form which is activated upon binding to the matrix. Monodansyl cadaverine labeling of TG substrates in the cultures revealed that incorporation of the label occurred at sites where fibronectin co-localized with COL I, indicating that ecmFXIIIA secretion could function to stabilize newly deposited matrix. Our results suggest that FXIIIA is an integral part of the COL I deposition machinery, and also that it is part of the ECM-feedback loop, both of which regulate matrix deposition and osteoblast 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 | 0.000 |
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".