The Dnmt1 Intrinsically Disordered Domain Regulates Genomic Methylation During Development
Bibliographic record
Abstract
The DNMT1 cytosine methyltransferase enzyme contains a large ∼300-aa intrinsically disordered domain (IDD) that we previously showed regulated DNA methylation patterns in mouse ES cells. Here we generated seven mouse lines with different mutations in the IDD. Homozygous mutant mice of five lines developed normally, with normal levels of methylation on both imprinted and nonimprinted DNA sequences. The other two lines, however, had alterations in imprinted and/or nonimprinted (global) DNA methylation appearing during embryonic development. Embryos of one line expressing a DNMT1 variant containing a 6-aa rat orthologous sequence in the IDD maintained imprinted methylation, showed very reduced levels of global methylation and occasionally completed fetal development. These in vivo studies demonstrate that at least two DNMT1-dependent methylation processes can be distinguished during fetal development. One process maintains the bulk of genomic methylation on nonimprinted sequences. The other process maintains methylation on a much smaller class of sequences including but not limited to gametic differentially methylated domains (gDMDs) that transmit essential imprinted parent-specific methylation for embryonic development.
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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".