Destroying RNA as a Therapeutic Approach
Bibliographic record
Abstract
The ability to target RNA, mRNA and viral RNA in particular, for degradation is a powerful approach in molecular biology and pharmacology. Such approaches can be used in the study of gene function as in functional genomics, in the identification of disease-associated genes, and for the treatment of human diseases. This review provides a comprehensive up-to-date look at all the current available technologies used for the destruction of RNA, with a focus on their therapeutic potential. This includes approaches that utilize the activity of protein ribonucleases such as antisense oligonucleotide, small interfering RNA, RNase P-associated external guide sequence, onconase and bovine seminal RNase. Sequence-specific approaches that do not utilize activity of protein ribonucleases, such as ribozyme and DNazyme, are also reviewed and discussed. This review should provide a useful starting framework for researchers interested in using the RNA-destruction methodologies on the bench and in the clinic, and serves as a stimulus for further development of novel and more potent RNA degradation technologies. This is particularly critical, given the anticipation of discoveries of new cellular RNA degradation machineries and human diseases that are associated with dysfunctional RNA molecules.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".