Tracking of Replicative Senescence in Mesenchymal Stem Cells by Colony-Forming Unit Frequency
Bibliographic record
Abstract
Long-term culture of mesenchymal stem cells (MSC) has major impact on cellular characteristics and differentiation potential. Numerous clinical trials raise high hopes in regenerative medicine and this necessitates reliable quality control of the cellular products-also with regard to replicative senescence. The maximum number of population doublings before entering the senescent state depends on the cell type, tissue of origin, culture medium as well as cell culture methods. Therefore, it would be valuable to predict the remaining proliferative potential in the course of culture expansion. Here, we describe a refined fibroblastic colony forming unit (CFU-f) assay which can be performed at any passage during culture expansion with simple cell culture techniques. This method is based on limiting dilutions in the 96-well format to determine the proportion of highly proliferative and clonogenic cells. The number of CFU-f declines rapidly during culture expansion. Especially at higher passages the CFU-f frequency correlates very well with the remaining cumulative population doublings. This approach can be used as quality measure to estimate the remaining proliferative potential of MSC in culture.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.001 | 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".