Hepatitis C Virus Subgenomic Replicons in the Human Embryonic Kidney 293 Cell Line
Bibliographic record
Abstract
Hepatitis C virus (HCV) infects liver cells and its replication in other cells is incompletely defined. Human hepatoma Huh-7 cells harboring subgenomic HCV replicons were used in somatic cell fusion experiments with human embryonic kidney 293 cells as a means of examining the permissiveness of 293 cells for HCV subgenomic RNA replication. 293 cells were generally not permissive for replication of Huh-7 cell-adapted replicons. However, upon coculturing of the two cell lines, we selected rare replicon-containing cells, termed 293Rep cells, that resembled parental 293 cells. Direct metabolic labeling of cells with (33)P in the presence of actinomycin D and Northern blotting to detect the negative strand of the replicon demonstrated functional RNA replicons in 293Rep cells. Furthermore, Western blots revealed that 293Rep cells expressed the HCV nonstructural proteins as well as markers of the naïve 293 cells but not Huh-7 cells. Propidium iodide staining and fluorescence-activated cell sorting analysis of 293Rep cells revealed that clone 293Rep17 closely resembled naïve 293 cells. Transfection of total RNA from 293Rep17 into naïve 293 cells produced replicon-containing 293 cell lines with characteristics distinct from those of Huh-7-derived replicon cell lines. Relative to Huh-7 replicons, the 293 cell replicons were less sensitive to inhibition by alpha interferon and substantially more sensitive to inhibition by poly(I)-poly(C) double-stranded RNA. This study established HCV subgenomic replicons in nonhepatic 293 cells and demonstrated their utility in expanding the study of cellular HCV RNA replication.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".