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Record W2015167979 · doi:10.1021/ac901371n

Unlabeled Hairpin DNA Probe for Electrochemical Detection of Single-Nucleotide Mismatches Based on MutS−DNA Interactions

2009· article· en· W2015167979 on OpenAlexaff
He Gong, Tianying Zhong, Lan Gao, Xiaohong Li, Lijun Bi, Heinz‐Bernhard Kraatz

Bibliographic record

VenueAnalytical Chemistry · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsWestern University
FundersChinese Academy of Sciences
KeywordsChemistryDNANucleotideDuplex (building)LinkerOligonucleotideHybridization probeBiophysicsMolecular biologyBiochemistryGeneBiology

Abstract

fetched live from OpenAlex

The paper described a label-free assay for the detection of single-nucleotide mismatches in which an unlabeled hairpin DNA probe and a MutS protein conjugate (His6-MutS-linker peptide-streptavidin binding peptide (HMLS)) are exploited for the detection of mismatches by electrochemical impedance spectroscopy (EIS). We demonstrate this method for eight single-nucleotide mismatches. Upon hybridization of the target strand with the hairpin DNA probe, the stem-loop structure is opened forming a duplex DNA. In duplexes containing a single nucleotide mismatch, the mismatch is present at the solvent exposed side, enabling more effective HMLS recognition and binding. The binding event is evaluated by EIS and analyzed with the help of Randles' equivalent circuits. The differences in the charge transfer resistance DeltaR(CT) before and after protein binding to the duplex DNA allows the unequivocal detection of all eight single-nucleotide mismatches. DeltaR(CT) allows the discrimination of a C-A mismatch with the concentration of the target strand as low as 100 pM.

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 score0.061
Threshold uncertainty score0.847

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.010
GPT teacher head0.267
Teacher spread0.257 · 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

Citations53
Published2009
Admission routes1
Has abstractyes

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