Cytoprotection Following Endoplasmic Reticulum Stress Protein Induction in Continuous Cell Lines
Bibliographic record
Abstract
Prior induction of an endoplasmic reticulum stress response has been associated with an increased tolerance to cellular toxins in in vitro systems, primarily involving renal and neuronal cells. Reactive intermediates are involved in toxicity in many tissues, therefore, we wished to determine if cytoprotection after induction of an endoplasmic reticulum stress response was a general phenomenon in other cell types. A stress response was induced by tunicamycin in a human hepatocyte cell line (HepG2), a rat hepatocyte cell line (H4IIE), a porcine kidney cell line (LLC-PK1), and a human lymphocyte cell line (K562). Induction of the endoplasmic reticulum stress proteins GRP78, GRP94, calreticulin and protein disulfide isomerase was assessed by immunoblotting. Cytotoxicity was assessed 24 hr after a 3 hr exposure to iodoacetamide, tert-butylhydrogenperoxide, menadione, or sulfamethoxazole hydroxylamine, or after a 2 hr exposure to N-acetyl-p-benzoquinoneimine, the reactive metabolite of acetaminophen. Induction of endoplasmic reticulum stress proteins in LLC-PK1 cells resulted in a 2-6 times increase in the concentration of all the cytotoxins required to cause a 50% decrease in cell viability at 24 hr. In contrast, tunicamycin pretreatment only resulted in a 1.7-times increase for iodo-acetamide in HepG2 cells and a 2.2-times increase for N-acetyl-p-benzoquinoneimine in the H4IIE cells, but had no effect on the other toxins tested. Induction of endoplasmic reticulum stress proteins in K562 cells did not alter susceptibility to any toxins tested. Our results indicate that protection afforded by the induction of an endoplasmic reticulum stress response is dependent on the cell type and may be toxin specific. These results suggest that either the molecular pathways of cell death for individual toxins are different between cell types and toxins, or that the function of endoplasmic reticulum stress proteins are dependent on the 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".