Comparison of <i>S</i>-nitrosoglutathione- and staurosporine-induced apoptosis in human neural cells
Bibliographic record
Abstract
S-nitrosoglutathione (GSNO) is an endogenously produced S-nitrosylating compound that controls the function of various proteins. While a number of rodent cell lines have been used to study GSNO-induced apoptosis, the mechanisms of action remain to be evaluated in human cells and in parallel with other common apoptosis-inducing agents. In this study, we compared the pro-apoptotic effects of GSNO and staurosporine (STS) on human neural progenitors (NT2, hNP1) and neuroblasts (SH-SY5Y). We show that these cells exhibit comparable levels of susceptibility to GSNO- and STS-induced apoptotic cell death, as demonstrated by condensed nuclei and CASP3 activation. Mechanistic differences in apoptotic responses were observed as differential patterns of DNA fragmentation and levels of BAX, BCL-XL, CASP8, and p-ERK in response to GSNO and STS treatment. Mitochondrial membrane potential analysis revealed that NT2 and hNP1 cells, but not SH-SY5Y cells, undergo mitochondrial hyperpolarization in response to short-term exposure to STS prior to undergoing subsequent depolarization. This is the first study to report differences in apoptotic responses to GSNO and STS in 3 complementary human neural cell lines. Furthermore, these cells represent useful tools in cell pharmacological paradigms in which susceptibility to apoptosis-inducing agents needs to be assessed at different stages of neural cell fate commitment and differentiation.
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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) | 0.001 | 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".