Influence of tissue origins and external microenvironment on porcine foetal fibroblast growth, proliferative life span and genome stability
Bibliographic record
Abstract
One of the challenges of manipulating genes in primary cells is that the cells have a finite proliferation capacity. This, combined with the lower gene targeting efficiency of somatic cells, makes identification of targeted clones very difficult. The objective of this study was to establish a system that allows porcine foetal fibroblasts to reach their maximal proliferation capacity in vitro. The influence of fibroblast origin, stage of foetal development, cell seeding densities and concentration of foetal bovine serum (FBS) on the population doublings, the percentage of beta-galactosidase-activity-positive cells and the genome stability of foetal fibroblasts during in vitro culture was investigated. It was found that porcine foetal fibroblasts could be cultured for over 80 population doublings in the appropriate culture system. Fibroblasts from earlier stages of foetal development were better candidate cells than those from the later stages. Cells from the heart were more actively proliferative and more resistant to replicative senescence than those from the liver. Compared to 10% FBS content, 15% FBS provided better homeostatic support, not only to proliferative performance, but also in maintaining a normal karyotype. In addition, the proliferative life span of porcine foetal fibroblasts is also dependent on seeding density of the culture.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".