Cellular Proteins Prevent Antisense Phosphorothioate Oligonucleotide (SdT18) to Target Sense RNA (rA18): Development of a New in Vitro Assay
Bibliographic record
Abstract
There are numerous indications that the "antisense" mechanism alone cannot account for the observed effects in living cells. Despite that, interactions between antisense oligonucleotides (ASO) and cellular proteins are usually not considered. In this work, we have tested the ability of antisense phosphorothioate (SdT) oligonucleotides and natural deoxyoligonucleotides (dT) for their ability to interact with target RNA in the presence of cellular proteins. We show that the affinity for cellular proteins is an essential factor that determines the success of RNA targeting. We have used a simple nuclease digestion assay to detect RNA/ASO hybrid formation in the presence of proteins. The results show the inability of a phosphorothioate oligonucleotide (SdT18) to reach the target RNA (rA18) in vitro in the presence of proteins. However, if proteins are absent, the RNA targeting was successful, as is usual in in vitro assays. Note that the target RNA concentration exceeded physiological values by several orders of magnitude while the crude protein extract was 20-fold diluted in the reaction tube. This finding is compatible with the notion that therapeutic properties of phosphorothioates could largely derive from a so-called "aptamer" effect.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.001 | 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".