Literature DB >> 16025148

Methylated-CpG island recovery assay: a new technique for the rapid detection of methylated-CpG islands in cancer.

Tibor Rauch1, Gerd P Pfeifer.   

Abstract

Hypermethylation of CpG islands is a phenomenon commonly observed during the development and progression of human tumors. Detection of methylated-CpG islands in easily accessible biological materials such as serum has the potential to be useful for the early diagnosis of cancer. Most currently used methods for detecting methylated-CpG islands are based on sodium bisulfite conversion of genomic DNA, followed by PCR reactions. Here we describe a method, methylated-CpG island recovery assay (MIRA) that does not depend on the use of sodium bisulfite but has similar sensitivity and specificity as bisulfite-based approaches. Methyl-CpG-binding domain proteins, such as methyl-CpG-binding domain protein-2 (MBD2), have the capacity to bind specifically to methylated DNA sequences. In the MIRA procedure, sonicated genomic DNA isolated from cells or tissue is incubated with a matrix containing glutathione-S-transferase-MBD2b in the presence of methyl-CpG-binding domain protein 3-like-1, a binding partner of MBD2 that increases the affinity of MBD2 for methylated DNA. Specifically bound DNA is eluted from the matrix and gene-specific PCR reactions are performed to detect CpG island methylation. Methylation can be detected using 1 ng of DNA or 3000 cells. MIRA is a specific and sensitive, but not laborious, technique that can be clinically useful in the detection and diagnosis of any DNA methylation-associated disease, including cancer.

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Year:  2005        PMID: 16025148     DOI: 10.1038/labinvest.3700311

Source DB:  PubMed          Journal:  Lab Invest        ISSN: 0023-6837            Impact factor:   5.662


  75 in total

Review 1.  Identification of driver and passenger DNA methylation in cancer by epigenomic analysis.

Authors:  Satish Kalari; Gerd P Pfeifer
Journal:  Adv Genet       Date:  2010       Impact factor: 1.944

2.  DNA methylation biomarkers for lung cancer.

Authors:  Tibor A Rauch; Zunde Wang; Xiwei Wu; Kemp H Kernstine; Arthur D Riggs; Gerd P Pfeifer
Journal:  Tumour Biol       Date:  2011-12-06

3.  A pipeline for the quantitative analysis of CG dinucleotide methylation using mass spectrometry.

Authors:  Reid F Thompson; Masako Suzuki; Kevin W Lau; John M Greally
Journal:  Bioinformatics       Date:  2009-06-26       Impact factor: 6.937

4.  Chromosome-wide analysis of parental allele-specific chromatin and DNA methylation.

Authors:  Purnima Singh; Xiwei Wu; Dong-Hoon Lee; Arthur X Li; Tibor A Rauch; Gerd P Pfeifer; Jeffrey R Mann; Piroska E Szabó
Journal:  Mol Cell Biol       Date:  2011-02-14       Impact factor: 4.272

Review 5.  Principles and challenges of genomewide DNA methylation analysis.

Authors:  Peter W Laird
Journal:  Nat Rev Genet       Date:  2010-03       Impact factor: 53.242

6.  Preparation of reduced representation bisulfite sequencing libraries for genome-scale DNA methylation profiling.

Authors:  Hongcang Gu; Zachary D Smith; Christoph Bock; Patrick Boyle; Andreas Gnirke; Alexander Meissner
Journal:  Nat Protoc       Date:  2011-03-18       Impact factor: 13.491

7.  Methylation of polycomb target genes in intestinal cancer is mediated by inflammation.

Authors:  Maria A Hahn; Torsten Hahn; Dong-Hyun Lee; R Steven Esworthy; Byung-Wook Kim; Arthur D Riggs; Fong-Fong Chu; Gerd P Pfeifer
Journal:  Cancer Res       Date:  2008-12-15       Impact factor: 12.701

8.  Cloning, purification and initial characterization of E. coli McrA, a putative 5-methylcytosine-specific nuclease.

Authors:  Elizabeth A Mulligan; John J Dunn
Journal:  Protein Expr Purif       Date:  2008-07-10       Impact factor: 1.650

9.  Maps of cis-Regulatory Nodes in Megabase Long Genome Segments are an Inevitable Intermediate Step Toward Whole Genome Functional Mapping.

Authors:  Lev G Nikolaev; Sergey B Akopov; Igor P Chernov; Eugene D Sverdlov
Journal:  Curr Genomics       Date:  2007-04       Impact factor: 2.236

10.  The MIRA method for DNA methylation analysis.

Authors:  Tibor A Rauch; Gerd P Pfeifer
Journal:  Methods Mol Biol       Date:  2009
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