A non-contact suspension culture approach to the culture of osteogenic cells derived from a CD49elow subpopulation of human bone marrow-derived cells
Bibliographic record
Abstract
We demonstrate that adult human bone marrow (BM) contains a population of mesenchymal stromal cells (MSCs) that can be expanded in non-adherent, cytokine-dependent, suspension culture conditions for at least 42 days. The cells generated during suspension culture lacked detectable levels of gene expression associated with differentiated mesenchymal cell types, including bone, muscle and fat, suggesting that suspension culture maintains MSCs in an uncommitted state. However, when these undifferentiated cells were taken out of suspension culture and placed in adherent osteogenic conditions, osteogenic genes were upregulated and morphologically identifiable bone matrix was elaborated. Flow cytometric analysis of uncultured, density gradient-separated human BM revealed that colony forming unit-fibroblast (CFU-F) and CFU-osteoblast (CFU-O) activity was associated with a CD45(-) CD49e(low) phenotype. Importantly, suspension-grown MSCs, capable of CFU-F and CFU-O development, maintained the CD45(-)CD49e(low) phenotype whereas MSCs directly cultured under adherent conditions rapidly upregulated CD49e expression and were associated with a CD45(-)CD49e(high) phenotype. Tracking the CD49e(low) expression under suspension culture conditions provides a mechanism to isolate an expanding suspension-grown MSC population with osteogenic potential. This could provide a potential strategy to isolate populations of MSCs, with functional osteogenic capacity, in a scalable and controllable culture system for therapeutic applications.
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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 | 0.001 |
| 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".