RNA interference in mammalian DNA methylation<sup>1</sup>This review is part of Special Issue entitled Asilomar Chromatin and has undergone the Journal’s usual peer review process.
Bibliographic record
Abstract
RNAi and Dicer-dependent siRNAs are required for constitutive heterochromatin formation in fission yeast and for establishing DNA methylation at repetitive elements in plants. In the mammalian male germ line, DICER1-independent piRNAs are required for the full establishment of DNA methylation of dispersed repetitive transposable elements. However, in other mammalian cell types, no clear picture has yet emerged of the role of RNAi in establishing heterochromatin and DNA methylation. In mouse embryonic stem cells, which remain viable on loss of DICER1 and ablation of RNAi, while no firm evidence has been obtained for defective heterochromatin formation, there are indications of defective DNA methylation. The latter has been attributed to an indirect effect of reduced DNA methyltransferase (DNMT) activity due to a loss of miRNA-mediated gene regulation. However, it is unclear whether the reductions in DNMT activity were sufficient to affect DNA methylation. We consider it equally likely that the defects in DNA methylation that can be observed in DICER1-deficient embryonic stem cells are the result of nonspecific effects related to RNAi loss aside from reduced DNMT activity.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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".