Literature DB >> 18072598

MethylScreen: DNA methylation density monitoring using quantitative PCR.

H Holemon1, Y Korshunova, J M Ordway, J A Bedell, R W Citek, N Lakey, J Leon, M Finney, J D McPherson, J A Jeddeloh.   

Abstract

Aberrant gene silencing of genes through cytosine methylation has been demonstrated during the development of many types of cancers including prostate cancer Several genes including GSTP1 have been shown to be methylated in prostate cancer leading to the suggestion and demonstration that methylation status of such genes could be used as cancer diagnosis markers alone or in support of histology. We developed a bisulfite-free alternative, MethylScreen technology, an assay for DNA methylation detection utilizing combined restriction from both methylation-sensitive restriction enzymes (MSRE) and methylation-dependent restriction enzymes (MDRE). MethylScreen was used to analyze the 5' region of GSTP1 in cell lines, in vitro methylated DNA populations, and flash-frozen tissue samples in an effort to characterize the output and analytical performance characteristics of the assay. The output from the quantitative PCR assay suggested that it could not only detect fully methylated molecules in a mixed population below the 1% level, but it could also quantify the abundance of intermediately methylated molecules. Interestingly, the interpreted output from the four quantitative PCRs closely resembled the molecular population as described by clone-based bisulfite genomic sequencing.

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Year:  2007        PMID: 18072598     DOI: 10.2144/000112597

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


  29 in total

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10.  High-resolution genome-wide cytosine methylation profiling with simultaneous copy number analysis and optimization for limited cell numbers.

Authors:  Mayumi Oda; Jacob L Glass; Reid F Thompson; Yongkai Mo; Emmanuel N Olivier; Maria E Figueroa; Rebecca R Selzer; Todd A Richmond; Xinmin Zhang; Luke Dannenberg; Roland D Green; Ari Melnick; Eli Hatchwell; Eric E Bouhassira; Amit Verma; Masako Suzuki; John M Greally
Journal:  Nucleic Acids Res       Date:  2009-04-22       Impact factor: 16.971

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