Reduction in cadmium‐induced toxicity by c‐Jun modulation in mouse embryo limb bud cells
Bibliographic record
Abstract
BACKGROUND: While it is known that cadmium-exposed embryonic cells have increased activation of c-Jun N-terminal kinase (JNK), the role of this stress signaling pathway in the embryotoxic response is not clear. Thus, the effects of modification of the transcription factor c-Jun, one of the downstream targets of JNK, on cadmium-induced embryotoxicity were investigated in primary cultures of mouse embryo limb bud cells. METHODS: Cultures of limb bud cells harvested on day 11 of gestation were pretreated with antisense oligonucleotides (ASO) to c-Jun to reduce its expression, and then incubated with cadmium in the form of cadmium chloride. Toxicity was measured through assessments of cell proliferation and differentiation, while the effectiveness of the ASO in reducing c-Jun was assessed through Western blotting using phosphorylation-specific antibodies. RESULTS: When cells were treated with ASO c-Jun, the total amounts of c-Jun and also cadmium-induced c-Jun activation were diminished. Cadmium-induced cytotoxicity, indicated by reduced cell numbers and differentiation, was found to decrease when cells were exposed to the antisense oligonucleotides to c-Jun. In addition, limb cell numbers and differentiation were also enhanced by exposure to ASO in the absence of cadmium. CONCLUSION: The JNK pathway, and particularly the downstream effector c-Jun, appears to play an important role in regulating cell survival and differentiation in mouse embryo limb bud cells both in the presence and absence of the toxic metal cadmium.
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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".