Establishment of Immortal Swine Kidney Epithelial Cells
Bibliographic record
Abstract
Using normal swine kidney epithelial (SKE) cells that were shown to be senescent at passages 12 to 14, we have established one lifespan-extended cell line and two lifespan-extended cell lines by exogenous introduction of the human catalytic subunit of telomerase (hTERT) and simian virus 40 large T-antigen (SV40LT), all of which maintain epithelial morphology and express cytokeratin, a marker of epithelial cells. SV40LT- and hTERT-transduced immortal cell lines appeared to be smaller and exhibited more uniform morphology relative to primary and spontaneously immortalized SKE cells. We determined the in vitro lifespan of primary SKE cells using a standard 3T6 protocol. There were two steps of the proliferation barrier at 12 and 20, in which a majority of primary SKE cells appeared enlarged, flattened, vacuolated, and ss-galactosidase-positive, all phenotypical characteristics of senescent cells. Lifespan-extended SKE cells were eventually established from most of the cellular foci, which is indicative of spontaneous cellular conversion at passage 23. Beyond passage 25, the rate of population doubling of the established cells gradually increased. At passage 30, immortal cell lines grew faster than primary counterpart cells in 10% FBS-DMEM culture conditions, and only SV40LT-transduced immortal cells grew faster than primary and other SKE immortal cells in 0.5% FBS-DMEM. These lifespan-extended SKE cell lines failed to grow in an anchorage-independent manner in soft-agar dishes. Hence, three immortalized swine kidney epithelial cells that are not transformed would be valuable biological tools for virus propagation and basic kidney epithelial cell research.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.005 | 0.005 |
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".