Protein Mediated miRNA Detection and siRNA Enrichment Using p19
Bibliographic record
Abstract
p19 RNA binding protein from the Carnation Italian ringspot virus (CIRV) is an RNA-silencing suppressor that binds small interfering RNA (siRNA) with high affinity. We created a bifunctional p19 fusion protein with an N-terminal maltose binding protein (MBP), for protein purification, and a C-terminal chitin binding domain (CBD) to bind p19 to chitin magnetic beads. The fusion protein binds dsRNAs in the size range of 20-23 nucleotides, but does not bind ssRNA or dsDNA. Relative affinities of the p19 fusion protein for different-length RNA and DNA substrates were determined. Binding specificity of the p19 fusion protein for small dsRNA allows detection of miRNA:RNA probe duplexes. Using radioactive RNA probes, we were able to detect low levels of miRNAs in the sub-femtomole range and in the presence of a million-fold excess of total RNA. Detection is linear over three logs. Unlike most nucleic acid detection methods, p19 selects for RNA hybrids of correct length and structure. Rules for designing optimal RNA probes for p19 detection of miRNAs were determined by in vitro binding of 18 different dsRNA oligos to p19. These studies demonstrate the potential of p19 fusion protein to detect miRNAs and isolate endogenous siRNAs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".