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Nucleic Acid Detection pp 81–86Cite as

SNP Analysis Using a Molecular Beacon-Based Operating Cooperatively (OC) Sensor

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 1039))

Abstract

Analysis of single-nucleotide polymorphisms (SNPs) is important for diagnosis of infectious and genetic diseases, for environment and population studies, as well as in forensic applications. Herein is a detailed description to design an “operating cooperatively” (OC) sensor for highly specific SNP analysis. OC sensors use two unmodified DNA adaptor strands and a molecular beacon probe to detect a nucleic acid targets with exceptional specificity towards SNPs. Genotyping can be accomplished at room temperature in a homogenous assay. The approach is easily adaptable for any nucleic acid target, and has been successfully used for analysis of targets with complex secondary structures. Additionally, OC sensors are an easy-to-design and cost-effective method for SNP analysis and nucleic acid detection.

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Author information

Authors and Affiliations

  1. Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL, USA

    Evan M. Cornett

  2. Department of Chemistry, University of Central Florida, Orlando, FL, USA

    Dmitry M. Kolpashchikov

Authors
  1. Evan M. Cornett
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  2. Dmitry M. Kolpashchikov
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Editor information

Editors and Affiliations

  1. University of Central Florida Department of Chemistry, Orlando, Florida, USA

    Dmitry M. Kolpashchikov

  2. University of Central Florida Department of Chemistry, Orlando, Florida, USA

    Yulia V. Gerasimova

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Cornett, E.M., Kolpashchikov, D.M. (2013). SNP Analysis Using a Molecular Beacon-Based Operating Cooperatively (OC) Sensor. In: Kolpashchikov, D., Gerasimova, Y. (eds) Nucleic Acid Detection. Methods in Molecular Biology, vol 1039. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-535-4_6

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  • DOI: https://doi.org/10.1007/978-1-62703-535-4_6

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  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-62703-534-7

  • Online ISBN: 978-1-62703-535-4

  • eBook Packages: Springer Protocols

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