An <i>In Vitro</i> Assessment of a Cell-Containing Collagenous Extracellular Matrix–like Scaffold for Bone Tissue Engineering
Bibliographic record
Abstract
Extracellular matrix (ECM) consists of a complex mixture of macromolecules such as collagens, proteoglycans, glycoproteins, and elastic fibers. ECM is essential to preserving tissue architecture, signaling to cells, and regulating calcification in mineralized tissues. Osteoblasts in culture secrete and assemble an extensive ECM rich in type I collagen, and other noncollagenous proteins that can be mineralized. Three-dimensional matrix models can be used in vitro to most appropriately resemble the geometry and biochemistry of natural ECMs. In the present study, MC3T3-E1 mouse calvarial preosteoblasts were cultured within a dense three-dimensional collagenous ECM-like scaffold produced through the method of plastic compression. Plastic compression rapidly produces scaffolds of collagen density approaching native tissue levels with enhanced biomechanical properties while maintaining the viability of resident cells. The proliferation, morphology, and gene expression of seeded MC3T3s, as well as collagen production and matrix mineralization, were investigated for up to 7 weeks in culture. Soluble collagen secretion ranged in concentration from 5 to 30 microg/mL over a 24-h period, concomitant with a steady rate of collagen mRNA expression. Expression of osteogenic markers such as tissue-nonspecific alkaline phosphatase (Alpl), bone sialoprotein (Bsp), and osteopontin (Opn) examined by biochemical assay and reverse transcription-polymerase chain reaction demonstrated cell differentiation. Pericellular voids of ECM around cells, together with evidence of MMP13 mRNA expression, suggested matrix remodeling. Ultrastructural analyses, X-ray microanalysis, micro-computed tomography, as well as Fourier-transform infrared and imaging all confirmed the formation of a calcium-phosphate mineral phase within the fibrillar collagen matrix. In conclusion, preosteoblastic MC3T3 cells seeded within an ECM-like dense collagen scaffold secrete matrix proteins and induce scaffold mineralization in a manner potentially appropriate for bone tissue engineering uses.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".