Purification of RNA Mango Tagged Native RNA-protein Complexes from Cellular Extracts Using TO1-Desthiobiotin Fluorophore Ligand
Bibliographic record
Abstract
A native purification strategy using RNA Mango for RNA based purification of RNA-protein complexes is described. The RNA Mango aptamer is first genetically engineered into the RNA of interest. RNA Mango containing complexes obtained from cleared cellular native extracts are then immobilized onto TO1-Desthiobiotin saturated streptavidin agarose beads. The beads are washed to remove non-specific complexes and then the RNA Mango containing complexes are eluted by the addition of free biotin to the beads. Since the eluted complexes are native and fluorescent, a second purification step such as size exclusion chromatography can easily be added and the purified complexes tracked by monitoring fluorescence. The high purity native complexes resulting from this two-step purification strategy can be then used for further biochemical characterization.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".