Use of CYP2E1-Transfected Human Liver Cell Lines in Elucidating the Actions of Ethanol
Bibliographic record
Abstract
This article represents the proceedings of a symposium at the 2004 RSA Meeting held in Vancouver, Canada. The chairs were Arthur I. Cederbaum and Raj Lakshman. The presentations were (1) ethanol regulates 2,6-sialyltransferase (2,6-ST) gene expression posttranscriptionally by the interaction of a cytosolic binding protein with 2,6-ST mRNA in CYP2E1- and ADH-transfected HepG2 cells, by Raj Lakshman; (2) nature versus nurture: HepG2-E47 cells as a tool to investigate mechanisms of ethanol-mediated potentiation of cell killing, by Jan B. Hoek; (3) ethanol up-regulates profibrogenic connective tissue growth factor gene expression in HepG2 cells via cytochrome P-450 2E1-mediated ethanol oxidation, by Masahiro Konishi; (4) role of calcium and calcium-activated enzymes in CYP2E1-dependent toxicity, by Arthur I Cederbaum; (5) the use of cell lines to characterize the role of CYP2E1 in the metabolism of farnesol, by Dennis Koop; and (6) studies with HepG2 cells that express the two major ethanol-metabolizing enzymes, by Terrence M. Donohue.
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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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".