Quantitative Analysis of MicroRNA in Blood Serum with Protein-Facilitated Affinity Capillary Electrophoresis
Bibliographic record
Abstract
MicroRNAs (miRNAs) are small (∼22 nt) regulatory RNAs that are frequently deregulated in cancer and have shown promise as tissue- and blood-based biomarkers for cancer classification and prognostication. Here we present a protein-facilitated affinity capillary electrophoresis (ProFACE) assay for rapid quantification of miRNA levels in blood serum using single-stranded DNA binding protein (SSB) and double-stranded RNA binding protein (p19) as separation enhancers. The method utilizes either the selective binding of SSB to a single-stranded DNA/RNA probe or the binding of p19 to miRNA-RNA probe duplex. For the detection of ultralow amounts of miRNA without polymerase chain reaction (PCR) amplification in blood samples we apply off-line preconcentration of synthetic miRNA-122 from serum by p19-coated magnetic beads followed by online sample stacking in the ProFACE assay. The detection limit is 0.5 fM or 30 000 miRNA molecules in 1 mL of serum as a potential source of naïve miRNAs.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".