Literature DB >> 16526411

Two-color quantitative multiplex methylation-specific PCR.

Theresa Swift-Scanlan1, Amanda Blackford, Pedram Argani, Saraswati Sukumar, Mary Jo Fackler.   

Abstract

In recent years, several methylation-specific PCR-based techniques have been developed to identify and characterize hypermethylation of CpG dinucleotides with the primary goal of elucidating a better understanding of the role of DNA methylation in important biological processes, such as chromosome X inactivation and carcinogenesis. The specificity of methylation-specific PCR (MSP) techniques relies on amplifying sodium bisulfite-treated DNA with primers specific to predicted sequences of unmethylated and methylated DNA within the gene of interest. In the past, unmethylated and methylated reactions were singleplex and performed in separate wells. In this paper we report a modification of the real-time quantitative multiplex MSP (QM-MSP) technique of Fackler and colleagues that can be applied to any real-time MSP experiment. Although co-amplification with multiple fluorophores is common in standard reverse transcription PCR (RT-PCR), MSP presents unique challenges both mechanistically and operationally that must be overcome in order to successfully co-amplify two methylation-specific targets. In this two-color modification, unmethylated and methylated primer/probe sets are successfully co-amplified in the same reaction using FAM- and VIC-labeled probes. Our modification decreases the cost and time of each real-time experiment by allowing increased throughput of clinical samples and by doubling either the number of genes or the number of samples that can be analyzed per real-time plate.

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Year:  2006        PMID: 16526411     DOI: 10.2144/000112097

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  12 in total

1.  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

2.  Genome-wide methylation analysis identifies genes specific to breast cancer hormone receptor status and risk of recurrence.

Authors:  Mary Jo Fackler; Christopher B Umbricht; Danielle Williams; Pedram Argani; Leigh-Ann Cruz; Vanessa F Merino; Wei Wen Teo; Zhe Zhang; Peng Huang; Kala Visvananthan; Jeffrey Marks; Stephen Ethier; Joe W Gray; Antonio C Wolff; Leslie M Cope; Saraswati Sukumar
Journal:  Cancer Res       Date:  2011-08-08       Impact factor: 12.701

Review 3.  Epigenomics and ovarian carcinoma.

Authors:  Leonel Maldonado; Mohammad Obaidul Hoque
Journal:  Biomark Med       Date:  2010-08       Impact factor: 2.851

4.  Methylated genes in breast cancer: associations with clinical and histopathological features in a familial breast cancer cohort.

Authors:  Theresa Swift-Scanlan; Russell Vang; Amanda Blackford; Mary Jo Fackler; Saraswati Sukumar
Journal:  Cancer Biol Ther       Date:  2011-05-15       Impact factor: 4.742

5.  Quantitative assessment of DNA methylation for the detection of cervical neoplasia in liquid-based cytology specimens.

Authors:  Jo-Heon Kim; Yoo Duk Choi; Ji Shin Lee; Jae Hyuk Lee; Jong Hee Nam; Chan Choi; Sun-Seog Kweon; Mary Jo Fackler; Saraswati Sukumar
Journal:  Virchows Arch       Date:  2010-05-23       Impact factor: 4.064

Review 6.  Epigenomics and breast cancer.

Authors:  Pang-Kuo Lo; Saraswati Sukumar
Journal:  Pharmacogenomics       Date:  2008-12       Impact factor: 2.533

7.  Biomarker modulation following short-term vorinostat in women with newly diagnosed primary breast cancer.

Authors:  Vered Stearns; Lisa K Jacobs; Maryjo Fackler; Theodore N Tsangaris; Michelle A Rudek; Michaela Higgins; Julie Lange; Zandra Cheng; Shannon A Slater; Stacie C Jeter; Penny Powers; Susanne Briest; Calvin Chao; Carl Yoshizawa; Elizabeth Sugar; Igor Espinoza-Delgado; Saraswati Sukumar; Edward Gabrielson; Nancy E Davidson
Journal:  Clin Cancer Res       Date:  2013-05-29       Impact factor: 12.531

8.  RASSF1A Promoter Methylation Levels Positively Correlate with Estrogen Receptor Expression in Breast Cancer Patients.

Authors:  Viera Kajabova; Bozena Smolkova; Iveta Zmetakova; Katarina Sebova; Tomas Krivulcik; Vladimir Bella; Karol Kajo; Katarina Machalekova; Ivana Fridrichova
Journal:  Transl Oncol       Date:  2013-06-01       Impact factor: 4.243

Review 9.  DNA methylation and detection of cervical cancer and precancerous lesions using molecular methods.

Authors:  Sandra Mersakova; Marcela Nachajova; Peter Szepe; Petra Sumichrastova Kasajova; Erika Halasova
Journal:  Tumour Biol       Date:  2015-10-12

Review 10.  Recent progress in the study of methylated tumor suppressor genes in gastric cancer.

Authors:  Xiao-Tong Hu; Chao He
Journal:  Chin J Cancer       Date:  2011-11-04
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