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Record W2411426613 · doi:10.1021/ac2016213

Quantitative Analysis of MicroRNA in Blood Serum with Protein-Facilitated Affinity Capillary Electrophoresis

2011· article· en· W2411426613 on OpenAlexaff
Nasrin Khan, Jenny Cheng, John Paul Pezacki, Maxim V. Berezovski

Bibliographic record

VenueAnalytical Chemistry · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsSteacie Institute for Molecular SciencesUniversity of Ottawa
Fundersnot available
KeywordsChemistryCapillary electrophoresismicroRNAMolecular biologyDNARNADetection limitChromatographyBiochemistryGeneBiology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.679

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.236
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations86
Published2011
Admission routes1
Has abstractyes

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