Paternal exposure to cyclophosphamide dysregulates the gene activation program in rat preimplantation embryos
Bibliographic record
Abstract
Although there has been progress in determining the mechanisms by which maternal toxicant exposure affects progeny, there is little information on the actions of drugs administered to the father. We investigated the effects of pre-conceptional paternal exposure to cyclophosphamide, an anti-cancer agent, on embryonic gene activation in the rat. The male pronucleus was formed earlier in embryos sired by cyclophosphamide-treated male rats than in those sired by controls; early male pronucleus formation was followed by alterations in the gene activation program. BrUTP incorporation into RNA and Sp1 transcription factor immunostaining were increased and spread over both cytoplasmic and nuclear compartments in 2-cell embryos sired by cyclophosphamide-treated males compared to controls. Total RNA synthesis was constant in 1-8 cell embryos sired by drug-treated fathers, while in control embryos RNA synthesis increased four-fold to peak at the 4-cell stage. In 2-cell embryos sired by drug-treated males, the relative abundance of candidate imprinted genes was elevated significantly above control; a peak in the expression of these genes was not observed until the 8-cell stage in control embryos. Thus, paternal drug exposure temporally and spatially dysregulated rat zygotic gene activation, altering the developmental clock.
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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".