Optimization of culture conditions for human bone marrow‐derived mesenchymal stromal cell expansion in macrocarrier‐based Tide Motion system
Bibliographic record
Abstract
BACKGROUND: With high cell doses required for mesenchymal stromal cell (MSC) clinical trials, there is a need to upgrade technologies that facilitate efficient scale up of MSCs for cell therapy. Conventional expansion with 2D culture vessels becomes the bottleneck when large cell dosages are required. Tide Motion bioreactors offer a robust, scalable platform using BioNOC II macrocarriers developed for the production of adherent cells. METHODS: We evaluated the growth and expansion of bone marrow-derived MSCs (BM-MSCs) on the macrocarrier-based culture system by optimizing key parameters such as cell seeding densities, culturing conditions, and harvesting procedures to achieve optimal cell growth. BM-MSCs expanded in conventional 2D adherent cultures were seeded into BioNOC II macrocarriers and grown in serum-containing or serum-free medium. RESULTS: cells/carrier after 12 days of culture in BioNOC II macrocarriers with cell viability > 86% while retaining MSC specific characteristics such as surface marker expression, tri-lineage differentiation potential, immunosuppressive properties, and potency. CONCLUSION: These results reveal the feasibility of BM-MSC expansion in the scalable macrocarrier-based Tide Motion system both under serum and serum-free conditions and represent an important step for the large-scale production system of BM-MSC based cellular therapies.
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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 | 0.001 | 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 | 0.001 |
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".