Recovery of tobacco cells from cadmium stress is accompanied by DNA repair and increased telomerase activity
Bibliographic record
Abstract
It has been shown previously that apoptosis of tobacco cells induced by cadmium ions shows a relatively long lag period between exposure and cell death. This lag phase lasts for 3 d in TBY-2 cell cultures and is characterized by the maintenance of full cell viability despite extensive fragmentation of DNA into pieces of chromatin loop size. Experiments reported here demonstrate that cell death can be prevented if 50 micro M CdSO(4) is removed from the growth medium during the lag phase, suggesting that an irreversible apoptotic trigger is delivered within 24 h, between the third and fourth days of cadmium treatment. The post-cadmium recovery phase was characterized by DNA repair at the level of 50-200 kb and increased telomerase activity. Analysis of high-molecular-weight DNA by pulsed-field-gel electrophoresis revealed that the majority of DNA strand breaks was repaired within 48 h after cadmium withdrawal. Telomerase activity increased 2.5-fold in the recovery phase, but elevated levels were also found in cell extracts from apoptotic cells suggesting that telomerase might be associated with DNA repair, but it is not capable of inhibiting ongoing apoptosis. Limited exposure of TBY-2 cells to cadmium elicits non-random DNA damage of relatively high magnitude that can be repaired. It is proposed that plants might have developed a highly efficient DNA repair system to cope with transient genotoxic stress.
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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".