Rapid purification of RNAs using fast performance liquid chromatography (FPLC)
Bibliographic record
Abstract
We present here an improved RNA purification method using fast performance liquid chromatography (FPLC) size-exclusion chromatography in place of denaturing polyacrylamide gel electrophoresis (PAGE). The method allows preparation of milligram quantities of pure RNA in a single day. As RNA oligonucleotides behave differently from globular proteins in the size-exclusion column, we present standard curves for RNA oligonucleotides of different lengths on both the Superdex 75 column and the Superdex 200 size-exclusion column. Using this approach, we can separate monomer from multimeric RNA species, purify the desired RNA product from hammerhead ribozyme reactions, and isolate refolded RNA that has aggregated after long-term storage. This methodology allows simple and rapid purification of RNA oligonucleotides for structural and biophysical studies.
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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".