Serum-free media for articular chondrocytes in vitro expansion
Bibliographic record
Abstract
BACKGROUND: In vitro chondrocyte expansion is a major challenge in cell-based therapy for human articular cartilage repair. Classical culture conditions usually use animal serum as a medium supplement, which raises a number of undesirable questions. In the present study, two kinds of defined, serum-free media were developed to expand chondrocytes in monolayer culture for the purpose of cartilage tissue engineering. METHODS: Bovine chondrocytes were expanded in serum-free media supplemented with fibroblast growth factor-2 and platelet-derived growth factor or fibroblast growth factor-2 and insulin-like growth factor. Expansion culture in a conventional 10% fetal bovine serum (FBS) medium served as control. Fibronectin coating was used to help cell adhesion in serum-free medium. Next, in vitro three-dimensional pellet culture was used to evaluate the chondrocyte capacity. Cell pellets were expanded in different media to re-express the differentiated phenotype (re-differentiation) and to form cartilaginous tissue. The pellets were assessed by glycosaminoglycans contents, collagen II, collagen I and collagen X immunohistological staining. RESULTS: Chondrocytes cultured in serum-free media showed no proliferation difference than cells grown with 10% FBS medium. In addition, chondrocytes expanded in both serum-free media expressed more differentiated phenotypes at the end of monolayer culture, as indicated by higher gene expression ratios of collagen type II to collagen type I. Pellets derived from chondrocytes cultured in both serum-free media displayed comparable chondrogenic capacities to pellets from cells expanded in 10% FBS medium. CONCLUSION: These findings provide alternative culture approaches for chondrocytes in vitro expansion, which may benefit the clinical use of autologous chondrocytes implantation.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".