Literature DB >> 15353561

A novel real-time PCR assay for quantitative analysis of methylated alleles (QAMA): analysis of the retinoblastoma locus.

Michael Zeschnigk1, Stefan Böhringer, Elizabeth Ann Price, Zerrin Onadim, Lars Masshöfer, Dietmar R Lohmann.   

Abstract

Altered methylation patterns have been found to play a role in developmental disorders, cancer and aging. Increasingly, changes in DNA methylation are used as molecular markers of disease. Therefore, there is a need for reliable and easy to use techniques to detect and measure DNA methylation in research and routine diagnostics. We have established a novel quantitative analysis of methylated alleles (QAMA) which is essentially a major improvement over a previous method based on real-time PCR (MethyLight). This method is based on real-time PCR on bisulfite-treated DNA. A significant advantage over conventional MethyLight is gained by the use of TaqMan probes based on minor groove binder (MGB) technology. Their improved sequence specificity facilitates relative quantification of methylated and unmethylated alleles that are simultaneously amplified in single tube. This improvement allows precise measurement of the ratio of methylated versus unmethylated alleles and cuts down potential sources of inter-assay variation. Therefore, fewer control assays are required. We have used this novel technical approach to identify hypermethylation of the CpG island located in the promoter region of the retinoblastoma (RB1) gene and found that QAMA facilitates reliable and fast measurement of the relative quantity of methylated alleles and improves handling of diagnostic methylation analysis. Moreover, the simplified reaction setup and robustness inherent to the single tube assay facilitates high-throughput methylation analysis. Because the high sequence specificity inherent to the MGB technology is widely used to discriminate single nucleotide polymorphisms, QAMA potentially can be used to discriminate the methylation status of single CpG dinucleotides.

Entities:  

Mesh:

Year:  2004        PMID: 15353561      PMCID: PMC519124          DOI: 10.1093/nar/gnh122

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  22 in total

1.  A PCR test for the detection of hypermethylated alleles at the retinoblastoma locus.

Authors:  M Zeschnigk; D Lohmann; B Horsthemke
Journal:  J Med Genet       Date:  1999-10       Impact factor: 6.318

2.  Rapid genotyping of single nucleotide polymorphisms using novel minor groove binding DNA oligonucleotides (MGB probes).

Authors:  Jacques B de Kok; Erwin T G Wiegerinck; Belinda A J Giesendorf; Dorine W Swinkels
Journal:  Hum Mutat       Date:  2002-05       Impact factor: 4.878

Review 3.  Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals.

Authors:  Rudolf Jaenisch; Adrian Bird
Journal:  Nat Genet       Date:  2003-03       Impact factor: 38.330

4.  Aberrant CpG-island methylation has non-random and tumour-type-specific patterns.

Authors:  J F Costello; M C Frühwald; D J Smiraglia; L J Rush; G P Robertson; X Gao; F A Wright; J D Feramisco; P Peltomäki; J C Lang; D E Schuller; L Yu; C D Bloomfield; M A Caligiuri; A Yates; R Nishikawa; H Su Huang; N J Petrelli; X Zhang; M S O'Dorisio; W A Held; W K Cavenee; C Plass
Journal:  Nat Genet       Date:  2000-02       Impact factor: 38.330

Review 5.  Age-related epigenetic changes and the immune system.

Authors:  Jean-Pierre Issa
Journal:  Clin Immunol       Date:  2003-10       Impact factor: 3.969

6.  Instability of a 550-base pair DNA segment and abnormal methylation in fragile X syndrome.

Authors:  I Oberlé; F Rousseau; D Heitz; C Kretz; D Devys; A Hanauer; J Boué; M F Bertheas; J L Mandel
Journal:  Science       Date:  1991-05-24       Impact factor: 47.728

7.  Tumour class prediction and discovery by microarray-based DNA methylation analysis.

Authors:  Péter Adorján; Jürgen Distler; Evelyne Lipscher; Fabian Model; Jürgen Müller; Cécile Pelet; Aron Braun; Andrea R Florl; David Gütig; Gabi Grabs; André Howe; Mischo Kursar; Ralf Lesche; Erik Leu; André Lewin; Sabine Maier; Volker Müller; Thomas Otto; Christian Scholz; Wolfgang A Schulz; Hans-Helge Seifert; Ina Schwope; Heike Ziebarth; Kurt Berlin; Christian Piepenbrock; Alexander Olek
Journal:  Nucleic Acids Res       Date:  2002-03-01       Impact factor: 16.971

8.  Epigenetic changes may contribute to the formation and spontaneous regression of retinoblastoma.

Authors:  V Greger; E Passarge; W Höpping; E Messmer; B Horsthemke
Journal:  Hum Genet       Date:  1989-09       Impact factor: 4.132

9.  Hypomethylation distinguishes genes of some human cancers from their normal counterparts.

Authors:  A P Feinberg; B Vogelstein
Journal:  Nature       Date:  1983-01-06       Impact factor: 49.962

10.  Loss of IGF2 imprinting: a potential marker of colorectal cancer risk.

Authors:  Hengmi Cui; Marcia Cruz-Correa; Francis M Giardiello; David F Hutcheon; David R Kafonek; Sheri Brandenburg; Yiqian Wu; Xiaobing He; Neil R Powe; Andrew P Feinberg
Journal:  Science       Date:  2003-03-14       Impact factor: 47.728

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  30 in total

Review 1.  DNA methylation and its role in the pathogenesis of diabetes.

Authors:  Amita Bansal; Sara E Pinney
Journal:  Pediatr Diabetes       Date:  2017-05       Impact factor: 4.866

2.  Real-Time PCR: Revolutionizing Detection and Expression Analysis of Genes.

Authors:  Sa Deepak; Kr Kottapalli; R Rakwal; G Oros; Ks Rangappa; H Iwahashi; Y Masuo; Gk Agrawal
Journal:  Curr Genomics       Date:  2007-06       Impact factor: 2.236

3.  Analysis of DNA methylation of multiple genes in microdissected cells from formalin-fixed and paraffin-embedded tissues.

Authors:  Dimo Dietrich; Ralf Lesche; Reimo Tetzner; Manuel Krispin; Jörn Dietrich; Wolfgang Haedicke; Matthias Schuster; Glen Kristiansen
Journal:  J Histochem Cytochem       Date:  2009-01-19       Impact factor: 2.479

4.  Multiplexed profiling of candidate genes for CpG island methylation status using a flexible PCR/LDR/Universal Array assay.

Authors:  Yu-Wei Cheng; Carrie Shawber; Dan Notterman; Philip Paty; Francis Barany
Journal:  Genome Res       Date:  2005-12-20       Impact factor: 9.043

Review 5.  Quantitative assessment of DNA methylation: Potential applications for disease diagnosis, classification, and prognosis in clinical settings.

Authors:  Romulo Martin Brena; Tim Hui-Ming Huang; Christoph Plass
Journal:  J Mol Med (Berl)       Date:  2006-01-17       Impact factor: 4.599

6.  MethySYBR, a novel quantitative PCR assay for the dual analysis of DNA methylation and CpG methylation density.

Authors:  Pang-Kuo Lo; Hanano Watanabe; Pi-Chun Cheng; Wei Wen Teo; Xiaohui Liang; Pedram Argani; Ji Shin Lee; Saraswati Sukumar
Journal:  J Mol Diagn       Date:  2009-09       Impact factor: 5.568

7.  BRCA2 promoter hypermethylation in sporadic breast cancer.

Authors:  Rémy Bosviel; Julie Durif; Jiaoli Guo; Mourad Mebrek; Fabrice Kwiatkowski; Yves-Jean Bignon; Dominique J Bernard-Gallon
Journal:  OMICS       Date:  2012-12

8.  Precision and performance characteristics of bisulfite conversion and real-time PCR (MethyLight) for quantitative DNA methylation analysis.

Authors:  Shuji Ogino; Takako Kawasaki; Mohan Brahmandam; Mami Cantor; Gregory J Kirkner; Donna Spiegelman; G Mike Makrigiorgos; Daniel J Weisenberger; Peter W Laird; Massimo Loda; Charles S Fuchs
Journal:  J Mol Diagn       Date:  2006-05       Impact factor: 5.568

9.  DNA methylation in circulating tumour DNA as a biomarker for cancer.

Authors:  Ruth E Board; Lucy Knight; Alastair Greystoke; Fiona H Blackhall; Andrew Hughes; Caroline Dive; Malcolm Ranson
Journal:  Biomark Insights       Date:  2008-01-25

10.  Recurrence in oral and pharyngeal cancer is associated with quantitative MGMT promoter methylation.

Authors:  Emanuela Taioli; Camille Ragin; Xiao-Hong Wang; Jiangying Chen; Scott M Langevin; Ashley R Brown; Susanne M Gollin; Seymour Garte; Robert W Sobol
Journal:  BMC Cancer       Date:  2009-10-06       Impact factor: 4.430

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