Spatial analysis of cell death and Hsp70 induction in brain, thymus, bone marrow and testis of the hyperthermic rat
Bibliographic record
Abstract
Stressful stimuli activate two very different cellular responses—the heat shock response which facilitates survival of the cell and programmed cell death. Previous studies have not correlated these responses in vivo at the cellular level in mammalian tissues. The present study utilizes a dual staining procedure involving confocal microscopy, namely immunocytochemistry for Hsp70 localization and the TUNEL method for cell death identification, to correlate the pattern of stress-inducible Hsp70 to heat induced cell death at the cellular level. The correlation between the pattern of cellular expression of constitutively expressed Hsc70 and heat induced cell death was also examined. Following whole body hyperthermia, an increase in Hsp70 positive cells and TUNEL positive cells was noted in brain, thymus, bone marrow and testis. However, two populations of cells were apparent in all tissues examined, those inducing Hsp70 and those triggered into programmed cell death. Cells that were both Hsp70 positive and TUNEL positive were rarely detected. Similarly, neurons and non-neural cells that exhibit high Hsc70 expression but do not induce Hsp70, were not triggered into heat induced cell death. This study supports the view that Hsp70 inhibits steps in the apoptosis pathway. Hence cell types inducing this heat shock protein in intact tissues of the mammalian body may be protected from being triggered into programmed cell death. Constitutively expressed Hsc70 may play a similar role in those cells that are unable to induce Hsp70.
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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 | 0.001 | 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) | 0.002 | 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".