Expression and Localization of Plasma Transglutaminase Factor XIIIA in Bone
Bibliographic record
Abstract
Transglutaminases (TGs) are protein crosslinking enzymes involved in cell adhesion and signaling and matrix stabilization and maturation, in many cell types and tissues. We previously described that in addition to transglutaminase 2 (TG2), cultured MC3T3-E1 osteoblasts also express the plasma TG Factor XIIIA (FXIIIA). Here we report on the expression and localization of FXIIIA in bone in vivo and provide confirmatory in vitro data. Immunohistochemistry and in situ hybridization demonstrated that FXIIIA is expressed by osteoblasts and osteocytes in long bones formed by endochondral ossification (femur) and flat bones formed primarily by intramembranous ossification (calvaria and mandible). FXIIIA immunoreactivity was localized to osteoblasts, osteocytes, and the osteoid. RT-PCR analysis revealed FXIIIA expression by both primary osteoblasts and by the MC3T3-E1 osteoblast cell line. Western blot analysis of bone and MC3T3-E1 culture extracts demonstrated that FXIIIA is produced mainly as a small, 37-kDa form. Sequential RT-PCR analysis using overlapping PCR primers spanning the full FXIIIA gene showed that the entire FXIIIA gene is expressed, thus indicating that the 37-kDa FXIIIA is not a splice variant but a product of posttranslational proteolytic processing. Forskolin inhibition of osteoblast differentiation revealed that FXIIIA processing is regulated by the protein kinase A pathway.
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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 | 0.001 | 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".