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Record W2024355963 · doi:10.1039/c3an36810f

Electrochemical signature of mismatch in overhang DNA films: a scanning electrochemical microscopic study

2013· article· en· W2024355963 on OpenAlexaff
Mohtashim H. Shamsi, Heinz‐Bernhard Kraatz

Bibliographic record

VenueThe Analyst · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsUniversity of TorontoThe Scarborough Hospital
Fundersnot available
KeywordsElectrochemistryDNAComplementary sequencesMaterials scienceHybridization probeAnalytical Chemistry (journal)DNA sequencingChemistryNanotechnologyCrystallographyBiophysicsElectrodeBiologyBiochemistryMathematicsChromatography

Abstract

fetched live from OpenAlex

High throughput DNA basepair mismatch detection is an ultimate goal for earlier and point-of-care diagnostics. However, the size of a target sequence on single nucleotide mismatch detection will critically impact the design of sensors in future. To study the potential impact of target size, the probe and target strands of unequal size were hybridized in the absence and presence of single nucleotide mismatches along the sequence. After hybridization, the shorter target sequences form overhangs in the probe strand while longer target sequences form overhangs in the complementary strand. The resulting double stranded DNA hybrids were printed on gold surfaces and the electrochemical response of the films was studied by scanning electrochemical microscopy without signal amplification and label. The redox mediator, [Fe(CN)(6)](4-), experiences lower repulsion in the vicinity of mismatch containing ds-DNA films, which ultimately manifests into higher feedback current regardless of the size and hybridization position of the complementary strands. Kinetic rate constants monitored right above the ds-DNA films show k(0) = 4.5 ± 0.1 × 10(-5) cm s(-1) for the short sequence hybridized at the upper portion of the probe while k(0) = 4.1 ± 0.2 × 10(-5) cm s(-1) for longer complementary strands which has only top overhang. It suggests that hybridization position is important for mismatch detection in short complementary stands. However, in longer complementary strands, mismatches are easily detectable in the absence of bottom overhangs.

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 score0.003
Threshold uncertainty score0.518

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 head0.005
GPT teacher head0.256
Teacher spread0.251 · 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

Citations12
Published2013
Admission routes1
Has abstractyes

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