Digital Single-Nucleotide Polymorphism Analysis for Allelic Imbalance
| Abstract |
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Digital single-nucleotide polymorphism (SNP) analysis is developed to amplify a single template from a pool of DNA samples,
thereby generating the amplicons that are homogeneous in sequence. Different fluorophores are then applied as probes to detect
and discriminate different alleles (paternal vs maternal alleles or wild-type vs mutant), which can be readily counted. In
this way, digital SNP analysis transforms the exponential and analog signals from conventional polymerase chain reaction (PCR)
to linear and digital ones. Digital SNP analysis has the following advantages. First, statistical analysis of the PCR products
becomes available as the alleles can be directly counted. Second, this technology is designed to generate PCR products of
the same size; therefore, DNA degradation would not be a problem as it commonly occurs when microsatellite markers are used
to assess allelic status in clinical samples. Last, digital SNP analysis is designed to amplify a relatively small amount
of DNA samples, which is available in some clinical samples. Digital SNP analysis has been applied in quantification of mutant
alleles and detection of allelic imbalance in clinical specimens and it represents another example of the power of PCR and provides unprecedented opportunities for molecular genetic analysis.
Affiliation(s): (2) Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD
(3) Department of Gynecology and Obstetrics, The Johns Hopkins University School of Medicine, Baltimore, MD
(4) The Oncology Center, The Johns Hopkins University School of Medicine, Baltimore, MD
(3) Department of Gynecology and Obstetrics, The Johns Hopkins University School of Medicine, Baltimore, MD
(4) The Oncology Center, The Johns Hopkins University School of Medicine, Baltimore, MD
Book Title: Pancreatic Cancer: Methods and Protocols
Series: Methods in Molecular Medicine | Volume: 103 | Pub. Date: Nov-12-2004 | Page Range: 137-141 | DOI: 10.1385/1-59259-780-7:137
Subject: Cancer Research
Key Words: Digital - molecular genetics - mutation - allelic imbalance - polymerase chain reaction - single-nucleotide polymorphism
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