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Multiplex real-time PCR assays that measure the abundance of extremely rare mutations associated with cancer
Journal article   Open access   Peer reviewed

Multiplex real-time PCR assays that measure the abundance of extremely rare mutations associated with cancer

Diana Y. Vargas, Fred Russell Kramer, Sanjay Tyagi and Salvatore A.E. Marras
PLOS ONE, Vol.11(5), pp.1-25
05/31/2016
PMCID: PMC4887114
PMID: 27244445

Abstract

DNA - blood DNA - genetics DNA Primers - genetics Humans Molecular Diagnostic Techniques - methods Multiplex Polymerase Chain Reaction - methods Mutation - genetics Neoplasms - diagnosis Neoplasms - genetics Nucleic Acid Amplification Techniques - methods Polymorphism, Single Nucleotide - genetics Real-Time Polymerase Chain Reaction - methods Nucleic Acid Hybridization
We describe the use of "SuperSelective" primers that enable the detection and quantitation of somatic mutations whose presence relates to cancer diagnosis, prognosis, and therapy, in real-time PCR assays that can potentially analyze rare DNA fragments present in blood samples (liquid biopsies). The design of these deoxyribonucleotide primers incorporates both a relatively long "5' anchor sequence" that hybridizes strongly to target DNA fragments, and a very short, physically and functionally separate, "3' foot sequence" that is perfectly complementary to the mutant target sequence, but mismatches the wild-type sequence. As few as ten mutant fragments can reliably be detected in the presence of 1,000,000 wild-type fragments, even when the difference between the mutant and the wild type is only a single nucleotide polymorphism. Multiplex PCR assays employing a set of SuperSelective primers, and a corresponding set of differently colored molecular beacon probes, can be used in situations where the different mutations, though occurring in different cells, are located in the same codon. These non-symmetric real-time multiplex PCR assays contain limited concentrations of each SuperSelective primer, thereby enabling the simultaneous determination of each mutation's abundance by comparing its threshold value to the threshold value of a reference gene present in the sample.
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