Journal article
Rapid and sensitive detection of hepatitis B virus 1762T/1764A double mutation from hepatocellular carcinomas using LNA-mediated PCR clamping and hybridization probes
Journal of virological methods, v 158(1), pp 24-29
2009
PMID: 19187787
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The 1762T/1764A double mutation of the hepatitis B virus (HBV) basal core promoter has been suggested to be a potential biomarker for hepatocellular carcinoma (HCC) among individuals with chronic HBV infection. In this study, a real-time PCR assay is established using the hybridization probes and an oligonucleotide clamp containing locked nucleic acids (LNAs). The LNA-containing oligonucleotide clamp specific for the wild type HBV is able to suppress the amplification of the wild type HBV templates. In addition, the clamp can inhibit the binding of the WT templates to the fluorescence probes thereby suppress the wild type HBV signals during the melting curve analyses. These effects facilitated the detection of HBV double mutation in the presence of 3000-fold excess of the wild type genome. Thus PCR amplification coupled with the melting curve analyses provides a quick, simple, and highly sensitive tool for the detection of this HBV double mutation.
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Details
- Title
- Rapid and sensitive detection of hepatitis B virus 1762T/1764A double mutation from hepatocellular carcinomas using LNA-mediated PCR clamping and hybridization probes
- Creators
- Xiangdong David Ren - Drexel UniversitySelena Y. Lin - Drexel UniversityXiaohe Wang - Drexel UniversityTianlun Zhou - Drexel UniversityTimothy M. Block - Drexel UniversityYing-Hsiu Su - Drexel University
- Publication Details
- Journal of virological methods, v 158(1), pp 24-29
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Microbiology and Immunology
- Web of Science ID
- WOS:000266349200005
- Scopus ID
- 2-s2.0-64949126424
- Other Identifier
- 991019167566704721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Biochemical Research Methods
- Biotechnology & Applied Microbiology
- Virology