Generation of stable cell lines by spontaneous immortalization of primary cultures of porcine granulosa cells
Bibliographic record
Abstract
We report the generation of stable cell lines obtained by spontaneous immortalization of primary cultures of porcine granulosa cells. Three hundred stable cell lines were obtained from three independent immortalization trials. Two of these cell lines retained the steroidogenic capabilities characteristic of granulosa cells, such as de novo synthesis of progesterone and conversion of androstenedione into estradiol-17beta. All the stable cell lines expressed the P450arom and 3betaHSD genes, confirming their granulosa origin. Moreover, the steroidogenic stable granulosa cells also expressed StAR and P450scc genes. Stable cells were developed in cultures using Medium 199 supplemented with 5% newborn calf serum (NBCS). The surviving cells overcame the senescent phase and entered a stage of continuous growth for over one hundred generations. No stable colonies were obtained from cultures grown in MEM or DMEM or media supplemented with 10% NBCS or 5 and 10% fetal calf serum (FCS). Medium 199 is a formulation richer in nutrients compared to MEM or DMEM and the cell growth capability of NBCS is lower than that of FCS, probably due to deficiency of growth factors. We speculate that spontaneous immortalization of granulosa cells may be facilitated by using a rich culture formulation supplemented with low concentrations of serum deficient in growth factors. We have validated the stable cell lines for studying the effect of hormonal steroids on granulosa cell steroidogenesis and the expression of the steroidogenic genes. Therefore, we believe that they are useful models to study the molecular mechanism involved in granulosa cell differentiation and steroidogenesis.
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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) | 0.001 | 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) | 0.002 | 0.002 |
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".