No evidence for transgenerational genomic instability in the F1 or F2 descendants of Muta™Mouse males exposed to N-ethyl-N-nitrosourea
Bibliographic record
Abstract
Exposure of male mice to genotoxic agents can increase mutation frequencies in their unexposed descendants. This phenomenon, known as transgenerational genomic instability (TGI), can persist for several generations. However, little is known about the underlying mechanisms. Chemically-induced TGI has been demonstrated in non-coding unstable tandem repeat DNA regions, but it is unclear whether it extends to other genetic endpoints. We investigated whether exposure of Muta™Mouse males to a single dose of 75mg/kg N-ethyl-N-nitrosourea (ENU) increased the spontaneous frequency of gene mutations or chromosome damage in their offspring. Treated males were mated with untreated females 3 days, 6 weeks or 10 weeks post-exposure to produce the F1 generation. Offspring were thus conceived from germ cells exposed to ENU as mature spermatozoa, dividing spermatogonia, or spermatogonial stem cells, respectively. F2 mice were generated by mating F1 descendants with untreated partners. Mutations in the lacZ transgene were quantified in bone marrow and micronucleus frequencies were evaluated in red blood cells by flow-cytometry for all F0 and their descendants. LacZ mutant frequencies were also determined in sperm for all exposed males and their male descendants. In F0 males, lacZ mutant frequencies were significantly increased in bone marrow at least 10-fold at all three time points investigated. In sperm, lacZ mutant frequency was significantly increased 7-11-fold after exposure of dividing and stem cell spermatogonia, but not in replication-deficient haploid sperm. Micronucleus frequencies assessed two days after ENU treatment were increased 5-fold in F0 males, but returned to control levels after 10 weeks. Despite the strong mutagenic response in F0 males, pre- and post-meiotic ENU exposure did not significantly increase lacZ mutant or micronucleus frequencies in F1 or F2 offspring. These findings suggest that TGI may not extend to all genetic endpoints and that further investigation of this phenomenon and its health relevance will require multiple measures of genomic damage.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.006 | 0.001 |
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".