Interactions between mitochondrial electron transport, reactive oxygen species, and the susceptibility of <i>Nicotiana tabacum</i> cells to programmed cell death
Bibliographic record
Abstract
We investigated the impact of steady-state cellular reactive oxygen species (ROS) level on subsequent susceptibility to cell death induction by signaling molecules or respiratory inhibitors. We utilized Nicotiana tabacum L. (‘Petit Havana SR1’) suspension cell lines differing in steady-state ROS level owing to either genetic manipulation of the mitochondrial electron transport chain or manipulation of growth conditions. In either case, higher steady-state ROS level increased susceptibility to the signaling molecules salicylic acid and nitric oxide, suggesting that these molecules can engage a “steady-state ROS-primed cell death pathway”. We found that susceptibility to the complex III inhibitor antimycin A (AA) was also dependent upon steady-state ROS level and that this susceptibility was independent of that afforded by the inhibition of energy metabolism by AA. AA was unique in this respect, since susceptibility to two other electron transport chain inhibitors appeared strictly dependent upon their ability to inhibit energy metabolism. The results indicate that complex III may have a particular capacity to engage the steady-state ROS-primed cell death pathway (similarly to salicylic acid and nitric oxide) and may relate to the ability of this complex to generate superoxide. We also examined changes in cellular ROS post-treatment with the signaling molecules and respiratory inhibitors. In this case, the more susceptible cells (i.e., those that had experienced higher steady-state ROS levels) exhibited post-treatment declines in cellular ROS level, whereas the less susceptible cells were able to better maintain or increase their ROS post-treatment. This differential response may be an important determinant of cell fate.
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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 | 0.001 |
| 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".