<i>DNA methyltransferase 1</i>(<i>Dnmt1</i>) mutation affects<i>Snrpn</i>imprinting in the mouse male germ line
Bibliographic record
Abstract
DNA methylation and DNA methyltransferases are essential for spermatogenesis. Mutations in the DNA methyltransferase Dnmt1 gene exert a paternal effect on epigenetic states and phenotypes of offspring, suggesting that DNMT1 is important for the epigenetic remodeling of the genome that takes place during spermatogenesis. However, the specific role of DNMT1 in spermatogenesis and the establishment of genomic imprints in the male germ line remains elusive. To further characterize the effect of DNMT1 deficiency on the resetting of methylation imprints during spermatogenesis, we analyzed the methylation profiles of imprinted regions in the spermatozoa of mice that were heterozygous for a Dnmt1 loss-of-function mutation. The mutation did not affect the H19 or IG differentially methylated regions (DMRs) that are usually highly methylated but led to a partial hypermethylation of the Snrpn DMR, a region that should normally be unmethylated in mature spermatozoa. This defect does not appear in mouse models with mutations in Dnmt3a and Mthfr genes and, therefore, it is specific for the Dnmt1 gene and is suggestive of a role of DNMT1 in imprint resetting or maintenance in the male germ line.
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) | 0.002 | 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".