Periostin Is a Previously Uncharacterised Vitamin K Dependent γ-Carboxyglutamic Acid (Gla) Containing Protein Expressed by Marrow-Derived Mesenchymal Stromal Cells.
Bibliographic record
Abstract
Abstract The modification of glutamic acid residues to g-carboxyglutamic acid (Gla) is a post-translational modification catalyzed by the vitamin K-dependent γ-glutamylcarboxylase enzyme. Despite ubiquitous expression of the γ-carboxylation machinery in mammalian tissues, only 12 Gla-containing proteins have so far been identified in humans. Because bone tissue is the second most abundant source of Gla-proteins after the liver, we sought to identify Gla proteins secreted by bone-marrow derived mesenchymal stromal cells (MSCs), a precursor to all non-hematopoietic cells in bones. We used a proteomics approach to screen the secretome of MSCs with a combination of 2D gel electrophoresis and tandem mass spectrometry. The most abundant Gla-protein secreted by MSCs was identified as periostin, a previously unrecognized γ-carboxylated protein. In silico aminoacid sequence analysis of periostin demonstrated the presence of four consensus γ-carboxylase recognition sites embedded within fasciclin-like protein domains. The carboxylation of periostin was confirmed by immunoprecipitation using anti-Gla antibodies and could be inhibited by warfarin in MSCs. In conclusion, periostin is a novel vitamin K-dependent γ-carboxylated protein distinguished from other Gla-proteins by the presence of multiple γ-carboxylase recognition sites and MSCs are an abundant source of periostin including its γ-carboxylated variant.
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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".