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Induction of collagen mineralization by a bone sialoprotein-decorin chimeric protein

2001· article· en· W2090830606 on OpenAlexaff
Graeme K. Hunter, Michael S. Poitras, T. Michael Underhill, Marc D. Grynpas, Harvey A. Goldberg

Bibliographic record

VenueJournal of Biomedical Materials Research · 2001
Typearticle
Languageen
FieldMedicine
TopicBone and Dental Protein Studies
Canadian institutionsLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalWestern University
Fundersnot available
KeywordsDecorinBone sialoproteinProteoglycanType I collagenBiophysicsAgaroseFibrillogenesisCollagen, type I, alpha 1ChemistryExtracellular matrixFibrilFusion proteinBiochemistryBiologyOsteocalcinRecombinant DNA

Abstract

fetched live from OpenAlex

The observation that hydroxyapatite (HA) formation from metastable solutions can be induced by nucleating proteins such as bone sialoprotein (BSP) suggests a possible treatment for bone defects. The introduction of a mixture of nucleating protein and type I collagen should result in a defect becoming filled with a mineralized collagenous matrix that is biologically and mechanically compatible and capable of being remodeled. To create a nucleating protein that would interact with collagen fibrils, we combined the putative collagen-binding site of mouse decorin with one of two putative HA-nucleating sites of pig BSP. The resulting chimeric protein induced the formation of HA crystals in a steady-state agarose gel system and bound with high affinity to fibrillar type I collagen. The addition of chimeric protein to collagen gels perfused with low concentrations of calcium and phosphate resulted in the deposition of large, apparently needle-shaped HA crystals on the surface of collagen fibrils. These findings suggest that the BSP-decorin chimeric protein could be capable of inducing the mineralization of collagen in vivo.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.058
GPT teacher head0.378
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations63
Published2001
Admission routes1
Has abstractyes

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