Sustained ER Ca2+ Depletion Suppresses Protein Synthesis and Induces Activation-enhanced Cell Death in Mast Cells
Bibliographic record
Abstract
Depletion of Ca(2+) from the endoplasmic reticulum (ER) induces large increases in cytoplasmic Ca(2+), mitochondrial Ca(2+) loading, protein synthesis inhibition, and cell death. To clarify the connections among these events, we have evaluated the effect of Ca(2+) mobilizing agents thapsigargin (Tg), econazole (Ec), and the growth factor Steel Factor (SLF) on bone marrow-derived mast cells (BMMCs). BMMC Ca(2+) stores were found to consist of a Tg-sensitive ER compartment, the Tg-insensitive SIC store, and mitochondrial stores. Low levels of Ec interfered with Tg-stimulated mitochondrial loading while promoting progressive leakage of Ca(2+) from the ER. Low levels of Ec completely reversed Tg toxicity while higher levels blocked store-operated influx and induced cell death in a SLF-enhanced manner. Both Ec and Tg inhibited protein synthesis, however, only SLF plus Tg or very high levels of Ec were able to significantly stimulate EIF-2alpha phosphorylation. Cycloheximide only partially protected BMMCs from Tg toxicity yet strongly synergized with Ec to induce cell death. These results therefore indicate that although both Tg and Ec deplete ER Ca(2+) levels, Ec-induced cell death results from sustained protein synthesis inhibition while Tg toxicity results primarily from mitochondrial Ca(2+) overload and secondarily from ER stress associated with Ca(2+) depletion.
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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) | 0.001 | 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) | 0.001 | 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 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".