Evidence map›Paper›PMID 23021850›Full record

ArticleBiosensors & bioelectronics2013

Detection of bacterial 16S rRNA using a molecular beacon-based X sensor.

Yulia V Gerasimova, Dmitry M Kolpashchikov

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Multicomponent DNA Nanomachines for Amplification-Free Viral RNA Detection.International journal of molecular sciences · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Biosensors for whole-cell bacterial detection.Clinical microbiology reviews · 2014
    Review
  14. A differential fluorescent receptor for nucleic acid analysis.Chembiochem : a European journal of chemical biology · 2014
    Article
  15. Article
  16. Review
  17. 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

2 authors.

Yulia V GerasimovaChemistry Department, University of Central Florida, 4000 Central Florida Blvd., Orlando, FL 32816, USA. yugeras@gmail.com
Dmitry M Kolpashchikov

Funding

Nucleic acid analysis using deoxyribozyme technologyR21HG004060 · NHGRI · UNIVERSITY OF CENTRAL FLORIDA · PI KOLPASHCHIKOV, DMITRY MIKHAYLOVICH · 2006 to 2010
$592k
NHGRI NIH HHS R21 HG004060NHGRI NIH HHS R21HG004060
6 · The paper itself

Abstract

We demonstrate how a long structurally constrained RNA can be analyzed in homogeneous solution at ambient temperatures with high specificity using a sophisticated biosensor. The sensor consists of a molecular beacon probe as a signal reporter and two DNA adaptor strands, which have fragments complementary to the reporter and to the analyzed RNA. One adaptor strand uses its long RNA-binding arm to unwind the RNA secondary structure. Second adaptor strand with a short RNA-binding arm hybridizes only to a completely complementary site, thus providing high recognition specificity. Overall the three-component sensor and the target RNA form a four-stranded DNA crossover (X) structure. Using this sensor, Escherichia coli16S rRNA was detected in real time with the detection limit of ~0.17 nM. The high specificity of the analysis was proven by differentiating Bacillus subtilis from E. coli 16S rRNA sequences. The sensor responds to the presence of the analyte within seconds.

Indexed as

Bacillus subtilisBiosensing TechniquesDNAEquipment DesignEquipment Failure AnalysisEscherichia coliMolecular Probe TechniquesReproducibility of ResultsRNA, Ribosomal, 16SSensitivity and SpecificitySpectrometry, FluorescenceDNARNA, Ribosomal, 16S

Identifiers

PMID23021850
PMCPMC3525801

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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.