Some morphological, growth, and genomic properties of human cells chronically infected with porcine endogenous retrovirus (PERV)
Bibliographic record
Abstract
A major concern in using porcine organs for transplantation is the potential of transmission of porcine endogenous retrovirus (PERV). To investigate the long-term effects of PERV infection on human cells, human embryonic kidney cell line HEK-293 infected with PERV PK-15 was maintained for up to 72 passages and samples were harvested at intervals for use in morphological, growth, and genomic analyses. Morphology, DNA content/cell, and doubling time of uninfected and infected cells were similar. Restriction fragment length polymorphism (RFLP) analysis of PCR-amplified nearly full-length PERV genome showed no alterations in band pattern. RFLP analysis of the long terminal repeats (LTR) showed some changes in band pattern, but not in length. Southern blot analysis of genomic DNA of infected cells indicated random integration of PERV without structural alterations in proviral genome. Semi-quantitative PCR demonstrated a gradual increase of proviral load in the infected cells. Sequence analysis of the LTR region of PERV from infected cells indicated a relatively low rate (6.0 x 10(-4)/bp or about 2 x 10(-6)/bp/generation) of mutation. There were also indications of recombination of PERV strains A and B. Finally, PERV infection had no effect on transcription of human endogenous retrovirus-K (HERV-K) genes. Together, no significant effect attributable to PERV infection was evident on chronically PERV-infected HEK-293 cells.
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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 | 0.000 | 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) | 0.002 | 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".