m6A RNA modifications: Key regulators of normal and malignant hematopoiesis
Bibliographic record
Abstract
Post-transcriptional RNA modifications determine RNA fate by influencing numerous processes such as translation, decay and localization. One of the most abundant RNA modifications is N 6 -methyladenoside (m 6 A), which has been shown to be important in healthy as well as malignant hematopoiesis. Several proteins representing key players in m 6 A RNA biology, such as m 6 A writers, erasers and readers, were recently reported to be essential for hematopoietic stem cell (HSC) function. In leukemia, expression of m 6 A regulators has been shown to be increased, opening up potential opportunities for therapeutic exploitation by targeting them in blood malignancies. These recent discoveries were the focus of the Fall 2021 International Society for Experimental Hematology New Investigators webinar. We review here the latest findings in the field of mRNA modifications in normal and malignant hematopoiesis and how this might open up novel therapeutic options.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".