Tandem repeat mutation, global DNA methylation, and regulation of DNA methyltransferases in cultured mouse embryonic fibroblast cells chronically exposed to chemicals with different modes of action
Bibliographic record
Abstract
Mutations at expanded simple tandem repeat (ESTR) DNA sequences provide a useful tool for screening germline mutation. However, the mechanisms resulting in induced mutations are unknown and provide an impediment to the utility of the method. Induced ESTR mutations arise through a nontargeted mechanism resulting in destabilization of the repeat locus. We hypothesized that alterations in DNA methylation, or in DNA methyltransferase expression, may be associated with this indirect mechanism of mutation. DNA mutation frequency was measured in C3H/10T1/2 mouse embryonic fibroblast cells following chronic exposure to six chemicals exhibiting different modes of genotoxic action: N-nitroso-N-ethylurea (ENU); benzo(a)pyrene (BaP); etoposide (ETOP); okadaic acid (OA); cisplatin (CisPt); and 5-azacytidine (5azadC). Induced mutation ranged from 2-fold (ENU, BaP, ETOP), to 1.3-1.4 fold (OA, 5azadC), to nonresponsive (CisPt). Global DNA methylation, measured using the cytosine extension assay, revealed hypomethylation following exposure to ENU and 5azadC, hypermethylation following BaP and OA exposure, and no change following treatment with ETOP or CisPt. DNA methyltransferase transcription (Dnmt1, Dnmt3a, Dnmt3b) was significantly affected by all treatments except ETOP, with the vast majority of changes being downregulation. There was no direct correlation between ESTR mutation, global methylation, or DNA methyltransferase transcription. However, 4/5 ESTR mutagens caused changes in global methylation, while the noninducer (CisPt) did not cause changes in methylation. We hypothesize that chemicals that modify chromatin conformation through changes in methylation may compromise the ability of mismatch repair enzymes (or other enzymes) to access and repair secondary structures that may form across ESTR loci resulting in mutation.
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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".