Chondrocytes Cultured in Stirred Suspension with Serum-Free Medium Containing Pluronic-68 Aggregate and Proliferate While Maintaining Their Differentiated Phenotype
Bibliographic record
Abstract
The study of chondrocyte biology requires culture conditions that maintain cell phenotype. Phenotype is rapidly lost in monolayer but is maintained in 3-dimensional scaffolds, which however, experience limited cell proliferation and limited mass transport. In this study, we cultured chondrocytes in aggregates in stirred spinner flask suspension cultures to control aggregate size and promote mass transport. A previously optimized serum-free medium, containing the following growth factors (GFs), epidermal growth factor, platelet-derived growth factor-BB, and basic fibroblast growth factor, all at 2 ng/mL, was used as a control medium. In addition, two modified media were tested: one containing Pluronic F-68 (PF-68) and the other containing PF-68 with 10 times greater GF concentration (20 ng/mL, medium PF-68/10 x GF). Chondrocytes formed limited-size aggregates within 24 h and exhibited high viability (>95%), and cell concentration doubled in 7 days in the presence of PF-68. Low or no collagen I expression was found for any of the three media, whereas collagen II accumulated between cells, as revealed by a dense immunostaining. Integrin alpha10, a marker of differentiated chondrocytes and chondrogenic cells, was also found to be highly expressed. Aggregates resulting from spinner culture were found to be relevant in vitro models and their use for cartilage repair to be also conceivable.
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 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) | 0.001 | 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".