Tissue Transglutaminase and Its Substrates in Bone
Bibliographic record
Abstract
Tissue transglutaminase (tTG) is an intra- and extracellular, protein-cross-linking enzyme that has been implicated in apoptosis, matrix stabilization, and cell attachment in a variety of tissues. This study provides in vivo evidence in bone of TG activity, its tissue localization, and identification of its substrates. In microplate- and blotting-based activity assays using biotinylated primary amine as a probe, we show TG activity in protein extracts from the mineralized compartment of intramembranous rat bone. Avidin affinity purification of bone extract labeled with biotinylated primary amine in the presence of tTG, in conjunction with Western blotting, permitted identification of three major noncollagenous TG substrates in bone: osteopontin (OPN), bone sialoprotein (BSP), and alpha2 HS-glycoprotein (AHSG), of which the latter two are novel substrates. Cross-linking and labeling of purified proteins confirmed their ability to serve as TG substrates, because they readily incorporated biotinylated primary amine and formed large protein aggregates in the presence of tTG. All three proteins were also identified in the high molecular weight complexes extractable from the mineralized compartment of bone. Two-dimensional (2D) gel electrophoretic analysis combined with Western blotting indicated that the proteins are not cross-linked to each other, but form distinct homotypic polymers. In the extracellular matrix of bone, tTG and isopeptide bonds were localized by immunohistochemistry in the osteoid and in the pericellular matrix surrounding osteocytes. At the cellular level, osteoblasts and osteocytes were immunostained for tTG. Collectively, these data suggest a role for tTG and its covalently cross-linked substrates in cell adhesion and possibly also in bone matrix maturation and calcification.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".