Isolation, characterization, and chondrogenic potential of human bone marrow-derived multipotential stromal cells
Bibliographic record
Abstract
Multipotential bone marrow stromal cells have the ability to differentiate along multiple connective tissue lineages including cartilage. In this study, we developed an efficient and reproducible procedure for the isolation of stromal cells from bone marrow aspirates of normal human donors based on the expression of endoglin, a type III receptor of the transforming growth factor-beta (TGF-beta) receptor family. We demonstrate that these cells have the ability of multiple lineage differentiation. Stromal cells represented 2-3% of the total mononuclear cells of the marrow. The cells displayed a fibroblastic colony formation in monolayer culture and maintained similar morphology with passage. Expression of cell surface molecules by flow cytometry displayed a stable phenotype with culture expansion. When cocultured with hematopoietic CD34(+) progenitor cells, stromal cells were able to maintain their ability to support hematopoiesis in vitro. Culture expanded stromal cells were placed in a 3-dimensional matrix of alginate beads and cultured in serum-free media in the presence of TGFbeta-3 for chondrogenic lineage progression. Increased expression of type II collagen messenger RNA was observed in the TGFbeta3 treated cultures. Immunohistochemistry performed on sections of alginate beads detected the presence of type II collagen protein. This isolation procedure for stromal cells and the establishment of the alginate culture system for chondrogenic progression will contribute to the understanding of chondrogenesis and cartilage repair.
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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".