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Nucleic Acids Research
Article . 2005 . Peer-reviewed
Data sources: Crossref
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Nucleic Acids Research
Article
License: CC BY NC
Data sources: UnpayWall
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PubMed Central
Article . 2005
Data sources: PubMed Central
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MSRE-PCR for analysis of gene-specific DNA methylation

Authors: Melnikov, Anatoliy A.; Gartenhaus, Ronald B.; Levenson, Anait S.; Motchoulskaia, Natalia A.; Levenson (Chernokhvostov), Victor V.;

MSRE-PCR for analysis of gene-specific DNA methylation

Abstract

Abnormal DNA methylation is observed in certain promoters of neoplastic cells, although the likelihood of methylation for each individual promoter varies. Simultaneous analysis of many promoters in the same sample can allow use of statistical methods for identification of neoplasia. Here we describe an assay for such analysis, based on digestion of genomic DNA with methylation-sensitive restriction enzyme and multiplexed PCR with gene-specific primers (MSRE-PCR). MSRE-PCR includes extensive digestion of genomic DNA (uncut fragments cannot be identified by PCR), can be applied to dilute samples (<1 pg/microl), requires limited amount of starting material (42 pg or genomic equivalent of seven cells) and can identify methylation in a heterogeneous mix containing <2% of cells with methylated fragments. When applied to 53 promoters of breast cancer cell lines MCF-7, MDA-MB-231 and T47D, MSRE-PCR correctly identified the methylation status of genes analyzed by other techniques. For selected genes results of MSRE-PCR were confirmed by methylation-specific PCR and bisulfite sequencing. The assay can be configured for any number of desired targets in any user-defined set of genes.

Keywords

Cell Line, Tumor, Neoplasms, Methods Online, Humans, Breast Neoplasms, Female, DNA Restriction Enzymes, DNA Methylation, Promoter Regions, Genetic, Polymerase Chain Reaction

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
95
Top 10%
Top 10%
Top 10%
Green
gold
Related to Research communities
Cancer Research