Freshly Isolated Hepatocytes from Chimeric Humanized Liver Mice for the <i>In Vitro</i> Assessment of Drug Metabolism, Inhibition/Induction, and Safety Studies
Bibliographic record
Abstract
Abstract Human hepatocytes are a critical resource for a broad array of in vitro studies that are conducted during drug development. Cryopreserved human hepatocytes offer great advantages in terms of ease of use and lot‐specific repeatability. However, many important cell functions may be diminished or lost altogether in thawed cells. Freshly isolated human hepatocytes may provide the ideal platform for in vitro studies, but limited access to tissue, the challenges of generating high‐quality cell preparations, and the innate variability of multiple donors can all be confounding factors. Recently, freshly isolated hepatocytes from chimeric humanized mice have become available (Yamasaki et al., 2010). These PXB‐cells feature both the ease of use and lot‐specific reproducibility that is provided by cryopreserved human hepatocytes, but are freshly isolated on demand and therefore avoid the complication of diminished cellular function. PXB‐cells are prepared at a cell density of 2.1 × 105 cells/cm2, delivered within 7 days post‐seeding in most of the cases, and can maintain the major drug metabolism factors at least up to 21 days post‐seeding (Yamasaki et al., 2020). © 2022 Wiley Periodicals LLC. Basic Protocol: Care and culture of PXB‐cells Support Protocol: Preparation of dHCGM medium for PXB‐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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".