A Top-down Approach to Elucidate the Role of Matrix-Bound Phosphoproteins in Control of Collagen Biomineralization
Bibliographic record
Abstract
The periodontium is the set of tissues responsible for tooth anchorage, and consists of interconnected layers of mineralized and unmineralized tissues (bone, ligament and cementum). The ligament-cementum interface is a particularly elegant example of biological control of mineralization and the controlling factors are poorly understood. Here we use a tissue-based in vitro model of mineralization, in which sections of demineralized mouse jaw remineralize with the same selectivity as found in vivo, to probe the molecular mechanism of control over collagen mineralization in the periodontium. Removal or enzymatic cleavage of noncollagenous proteins have very similar effects: a reduction in the rate of remineralization that is much more drastic in cementum than in dentin. The periodontal ligament does not mineralize within experimental parameters even after protein removal/digestion. Dephosphorylation results in a slight reduction in mineralization in dentin and cementum. Understanding the mechanisms controlling selective mineralization in the periodontium will help elucidate the molecular factors controlling collagen biomienralization, and provide inspiration for the development of scaffolds for regeneration of hard-soft tissue interfaces.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".