Expression of E1E2 on Hepatitis C RNA-Containing Particles Released from Primary Cultured Human Hepatocytes Derived from Infected Cirrhotic Livers
Bibliographic record
Abstract
OBJECTIVE: To determine whether liver-derived hepatitis C RNA-containing particles express the E1E2 discontinuous antigenic determinant defined by unique monoclonal antibody (mAb) D32.10 which recognizes three highly conserved segments in E1 (aa297-306) and E2 (aa480-494 and aa613-621) envelope glycoproteins. METHODS: Human hepatocytes were isolated from HCV-infected cirrhotic explanted livers. The liver-derived hepatitis C virus (HCV) particles released from three distinct cultures (genotypes 1b and 2b) were characterized. HCV RNA+ was quantified by real-time RT-PCR. The E1E2 antigenic activity was assessed by indirect ELISA and immunoblotting using D32.10. The density distributions of HCV RNA and E1E2 antigen were determined by isopycnic sucrose density gradients. HCV E1E2, E2 and core antigens were detected in the cells by immunochemical staining. RESULTS: Liver-derived HCV particles contained HCV RNA (10⁶-10⁷ copies/mg of protein) and core proteins and expressed the E1E2/D32.10 epitope. HCV RNA and E1E2 cosedimented between 1.15 and 1.25 g/ml in sucrose gradients. Moreover, the mAb D32.10 detected E1E2 by immunostaining in HCV-infected hepatocytes in parallel with E2 and core antigens. CONCLUSION: Our results provide evidence that the mAb D32.10 recognizes E1E2 envelope complexes expressed in the cell cytoplasm and on the surface of HCV RNA-containing particles released from short-term cultures of in vivo infected hepatocytes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".