Evidence map›Paper›PMID 30125495›Full record

ArticleJournal of the American Chemical Society2018

Ultraspecific and Amplification-Free Quantification of Mutant DNA by Single-Molecule Kinetic Fingerprinting.

Stephen L Hayward, Paul E Lund, Qing Kang, Alexander Johnson-Buck, Muneesh Tewari, Nils G Walter

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

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  14. Massively Parallel Selection of NanoCluster Beacons.Advanced materials (Deerfield Beach, Fla.) · 2022
    Article
  15. Article
  16. Dynamic single-molecule sensing by actively tuning binding kinetics for ultrasensitive biomarker detection.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  17. Review
  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Stephen L Hayward
Paul E Lund
Qing Kang
Alexander Johnson-BuckORCID 0000-0003-3748-6000
Muneesh Tewari

Funding

Single-molecule counting of cancer biomarker miRNAs in human biofluidsR21CA204560 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WALTER, NILS G · 2017 to 2019
$614k
NCI NIH HHS R21 CA204560
6 · The paper itself

Abstract

Conventional techniques for detecting rare DNA sequences require many cycles of PCR amplification for high sensitivity and specificity, potentially introducing significant biases and errors. While amplification-free methods exist, they rarely achieve the ability to detect single molecules, and their ability to discriminate between single-nucleotide variants is often dictated by the specificity limits of hybridization thermodynamics. Here we show that a direct detection approach using single-molecule kinetic fingerprinting can surpass the thermodynamic discrimination limit by 3 orders of magnitude, with a dynamic range of up to 5 orders of magnitude with optional super-resolution analysis. This approach detects mutations as subtle as the drug-resistance-conferring cancer mutation EGFR T790M (a single C → T substitution) with an estimated specificity of 99.99999%, surpassing even the leading PCR-based methods and enabling detection of 1 mutant molecule in a background of at least 1 million wild-type molecules. This level of specificity revealed rare, heat-induced cytosine deamination events that introduce false positives in PCR-based detection, but which can be overcome in our approach through milder thermal denaturation and enzymatic removal of damaged nucleobases.

Indexed as

DNADrug Resistance, NeoplasmErbB ReceptorsFluorescent DyesHumansKineticsMicroscopy, FluorescenceMutationPolymerase Chain ReactionDNAEGFR protein, humanErbB ReceptorsFluorescent Dyes

Identifiers

PMID30125495
PMCPMC6157911

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.