Hepatocytes can induce death of contacted cells via perforin-dependent mechanism
Bibliographic record
Abstract
UNLABELLED: The liver displays unique immunological properties including the ability to remove aberrant cells and pathogens and to induce peripheral immunotolerance. We have previously demonstrated that hepatocytes can cause cell death by a CD95 ligand-mediated mechanism. Here, we provide evidence that hepatocytes can kill other cells via a perforin-dependent pathway. Using cultured woodchuck hepatocytes and human liver cells as well as freshly isolated woodchuck, mouse, and human hepatocytes, we show that hepatocyte-mediated death of CD95-deficient target cells requires microtubule polymerization, a feature of the granule exocytosis-mediated cytotoxicity. Neutralizing anti-perforin antibodies and short-hairpin RNA directed against perforin messenger RNA confirmed the involvement of perforin in hepatocyte-mediated cell killing. CONCLUSION: This study shows that hepatocytes express biologically competent perforin capable of killing susceptible cells and emphasizes the role of hepatocytes as cytotoxic effectors. This also is the first demonstration of perforin in a non-lymphoid cell type.
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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) | 0.003 | 0.001 |
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".