Evidence map›Paper›PMID 23965681›Full record

ArticleNature chemistry2013

Conditionally fluorescent molecular probes for detecting single base changes in double-stranded DNA.

Sherry Xi Chen, David Yu Zhang, Georg Seelig

Abstract read
In one paragraph

Article in Nature chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
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  3. Methods Established forPlants (Basel, Switzerland) · 2025
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  6. Review
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  12. Review
  13. Article
  14. Article
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  16. High-Throughput Variant Detection Using a Color-Mixing Strategy.The Journal of molecular diagnostics : JMD · 2022
    Article
  17. Article
  18. Article
  19. Review
  20. Article
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

3 authors.

Sherry Xi ChenDepartment of Electrical Engineering, University of Washington, Seattle, Washington 98195, USA.
David Yu Zhang
Georg Seelig

Funding

Bio-imaging with Isothermal DNA Self-AssemblyR00EB015331 · NIBIB · RICE UNIVERSITY · PI ZHANG, DAVID YU · 2013 to 2015
$735k
Bio-imaging with Isothermal DNA Self-AssemblyK99EB015331 · NIBIB · HARVARD MEDICAL SCHOOL · PI ZHANG, DAVID YU · 2012 to 2013
$179k
NIBIB NIH HHS K99 EB015331NIBIB NIH HHS R00 EB015331
6 · The paper itself

Abstract

Small variations in nucleic acid sequences can have far-reaching phenotypic consequences. Reliably distinguishing closely related sequences is therefore important for research and clinical applications. Here, we demonstrate that conditionally fluorescent DNA probes are capable of distinguishing variations of a single base in a stretch of target DNA. These probes use a novel programmable mechanism in which each single nucleotide polymorphism generates two thermodynamically destabilizing mismatch bubbles rather than the single mismatch formed during typical hybridization-based assays. Up to a 12,000-fold excess of a target that contains a single nucleotide polymorphism is required to generate the same fluorescence as one equivalent of the intended target, and detection works reliably over a wide range of conditions. Using these probes we detected point mutations in a 198 base-pair subsequence of the Escherichia coli rpoB gene. That our probes are constructed from multiple oligonucleotides circumvents synthesis limitations and enables long continuous DNA sequences to be probed.

Indexed as

Polymerase Chain ReactionBase Pair MismatchDNADNA-Directed RNA PolymerasesDNA ProbesEscherichia coliEscherichia coli ProteinsFluorescent DyesNucleic Acid HybridizationPoint MutationSalinityTemperatureDNADNA-Directed RNA PolymerasesDNA ProbesEscherichia coli ProteinsFluorescent DyesrpoB protein, E coli

Identifiers

PMID23965681
PMCPMC3844531

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Registered trials

None linked

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.