Emerging interactions between RNA methylation and chromatin architecture
Bibliographic record
Abstract
Epitranscriptomics, the study of chemical modifications of RNA molecules, is increasingly recognized as an important component of gene expression regulation. While the majority of research has focused on N 6 -methyladenosine (m 6 A) RNA methylation on mRNAs, emerging evidence has revealed that the m 6 A modification extends beyond mRNAs to include chromatin-associated RNAs (caRNAs). CaRNAs constitute an important class of RNAs characterized by their interaction with the genome and epigenome. These features allow caRNAs to be actively involved in shaping genome organization. In this review, we bring into focus recent findings of the dynamic interactions between caRNAs and chromatin architecture and how RNA methylation impacts caRNAs’ function in this interplay. We highlight several enabling techniques, which were critical for genome-wide profiling of caRNAs and their modifications. Given the nascent stage of the field, we emphasize on the need to address critical gaps in study of these modifications in more relevant biological systems. Overall, these exciting progress have expanded the scope and reach of epitranscriptomics, unveiling new mechanisms that underpin the control of gene expression and cellular phenotypes, with potential therapeutic implications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".