Specific modulation of 28S_Um2402 rRNA 2′-<i>O</i>-ribose methylation as a novel epitranscriptomic marker of ZEB1-induced epithelial–mesenchymal transition in different mammary cell contexts
Bibliographic record
Abstract
Abstract The epithelial–mesenchymal transition (EMT) is a dynamic transdifferentiation of epithelial cells into mesenchymal cells. EMT programs exhibit great diversity, based primarily on the distinct impact of molecular activities of the EMT transcription factors. Using a panel of cancer cell lines and a series of 71 triple-negative primary breast tumors, we report that the EMT transcription factor ZEB1 modulates site-specific chemical modifications of ribosomal RNA (rRNA). Overexpression of ZEB1 and ZEB2, but not TWIST1, decreased the level of 2′-O-ribose methylation (2′Ome) of 28S rRNA at position Um2402. ZEB1 overexpression specifically reduced the expression of the corresponding C/D box small nucleolar RNAs (snoRNAs) SNORD143/144, which guide the rRNA 2′Ome complex at the 28S_Um2402 site. During ZEB1-induced EMT induction/reversion, the levels of both 2′Ome at 28S_Um2402 and SNORD143/144 were dynamically comodulated. Taken together, these data demonstrate that 2′Ome rRNA epitranscriptomics is a novel marker of ZEB1-induced EMT.
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 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".