Literature DB >> 11779841

Methylation-specific oligonucleotide microarray: a new potential for high-throughput methylation analysis.

Raad S Gitan1, Huidong Shi, Chuan-Mu Chen, Pearlly S Yan, Tim Hui-Ming Huang.   

Abstract

Oligonucleotide microarray-based hybridization is an emerging technology for genome-wide detection of DNA variations. We have extended this principle and developed a novel approach, called methylation-specific oligonucleotide (MSO) microarray, for detecting changes of DNA methylation in cancer. The method uses bisulfite-modified DNA as a template for PCR amplification, resulting in conversion of unmethylated cytosine, but not methylated cytosine, into thymine within CpG islands of interest. The amplified product, therefore, may contain a pool of DNA fragments with altered nucleotide sequences due to differential methylation status. A test sample is hybridized to a set of oligonucleotide (19-23 nucleotides in length) arrays that discriminate methylated and unmethylated cytosine at specific nucleotide positions, and quantitative differences in hybridization are determined by fluorescence analysis. A unique control system is also implemented to test the accuracy and reproducibility of oligonucleotides designed for microarray hybridization. This MSO microarray was applied to map methylated CpG sites within the human estrogen receptor alpha (ERalpha) gene CpG island in breast cancer cell lines, normal fibroblasts, breast tumors, and normal controls. Methylation patterns of the breast cancer cell lines, determined by MSO microarray, were further validated by bisulfite nucleotide sequencing (P <0.001). This proof-of-principle study shows that MSO microarray is a promising technique for mapping methylation changes in multiple CpG island loci and for generating epigenetic profiles in cancer.

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Year:  2002        PMID: 11779841      PMCID: PMC155260          DOI: 10.1101/gr.202801

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  19 in total

Review 1.  Mutation detection in K-ras, BRCA1, BRCA2, and p53 using PCR/LDR and a universal DNA microarray.

Authors:  R Favis; F Barany
Journal:  Ann N Y Acad Sci       Date:  2000-04       Impact factor: 5.691

2.  A genomic sequencing protocol that yields a positive display of 5-methylcytosine residues in individual DNA strands.

Authors:  M Frommer; L E McDonald; D S Millar; C M Collis; F Watt; G W Grigg; P L Molloy; C L Paul
Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-01       Impact factor: 11.205

3.  Confluence-induced alterations in CpG island methylation in cultured normal human fibroblasts.

Authors:  R O Pieper; K A Lester; C P Fanton
Journal:  Nucleic Acids Res       Date:  1999-08-01       Impact factor: 16.971

4.  Comparison of TP53 mutations identified by oligonucleotide microarray and conventional DNA sequence analysis.

Authors:  W H Wen; L Bernstein; J Lescallett; Y Beazer-Barclay; J Sullivan-Halley; M White; M F Press
Journal:  Cancer Res       Date:  2000-05-15       Impact factor: 12.701

5.  Analysis of cyclin-dependent kinase inhibitor expression and methylation patterns in human prostate cancers.

Authors:  T T Nguyen; C T Nguyen; F A Gonzales; P W Nichols; M C Yu; P A Jones
Journal:  Prostate       Date:  2000-05-15       Impact factor: 4.104

6.  Rapid p53 sequence analysis in primary lung cancer using an oligonucleotide probe array.

Authors:  S A Ahrendt; S Halachmi; J T Chow; L Wu; N Halachmi; S C Yang; S Wehage; J Jen; D Sidransky
Journal:  Proc Natl Acad Sci U S A       Date:  1999-06-22       Impact factor: 11.205

7.  Hypermethylation of the Wilms' tumor suppressor gene CpG island in human breast carcinomas.

Authors:  D E Laux; E M Curran; W V Welshons; D B Lubahn; T H Huang
Journal:  Breast Cancer Res Treat       Date:  1999-07       Impact factor: 4.872

Review 8.  Cancer epigenetics comes of age.

Authors:  P A Jones; P W Laird
Journal:  Nat Genet       Date:  1999-02       Impact factor: 38.330

9.  Methylation of the estrogen receptor gene CpG island marks loss of estrogen receptor expression in human breast cancer cells.

Authors:  Y L Ottaviano; J P Issa; F F Parl; H S Smith; S B Baylin; N E Davidson
Journal:  Cancer Res       Date:  1994-05-15       Impact factor: 12.701

10.  Methylation of the oestrogen receptor CpG island links ageing and neoplasia in human colon.

Authors:  J P Issa; Y L Ottaviano; P Celano; S R Hamilton; N E Davidson; S B Baylin
Journal:  Nat Genet       Date:  1994-08       Impact factor: 38.330

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  65 in total

1.  Analysis and accurate quantification of CpG methylation by MALDI mass spectrometry.

Authors:  Jörg Tost; Philipp Schatz; Matthias Schuster; Kurt Berlin; Ivo Glynne Gut
Journal:  Nucleic Acids Res       Date:  2003-05-01       Impact factor: 16.971

Review 2.  Epigenetic regulation and measurement of epigenetic changes.

Authors:  Kimberly E Stephens; Christine A Miaskowski; Jon D Levine; Clive R Pullinger; Bradley E Aouizerat
Journal:  Biol Res Nurs       Date:  2012-06-03       Impact factor: 2.522

Review 3.  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

4.  A DNA microarray-based methylation-sensitive (MS)-AFLP hybridization method for genetic and epigenetic analyses.

Authors:  F Yamamoto; M Yamamoto
Journal:  Mol Genet Genomics       Date:  2004-05-14       Impact factor: 3.291

Review 5.  Proteomic investigation of epigenetics in neuropsychiatric disorders: a missing link between genetics and behavior?

Authors:  Mariana D Plazas-Mayorca; Kent E Vrana
Journal:  J Proteome Res       Date:  2010-09-09       Impact factor: 4.466

6.  A framework for oligonucleotide microarray preprocessing.

Authors:  Benilton S Carvalho; Rafael A Irizarry
Journal:  Bioinformatics       Date:  2010-08-05       Impact factor: 6.937

Review 7.  Methods in DNA methylation profiling.

Authors:  Tao Zuo; Benjamin Tycko; Ta-Ming Liu; Juey-Jen L Lin; Tim H-M Huang
Journal:  Epigenomics       Date:  2009-12       Impact factor: 4.778

8.  Direct DNA methylation profiling using methyl binding domain proteins.

Authors:  Yinni Yu; Steve Blair; David Gillespie; Randy Jensen; David Myszka; Ahmed H Badran; Indraneel Ghosh; Alexander Chagovetz
Journal:  Anal Chem       Date:  2010-06-15       Impact factor: 6.986

Review 9.  Genomic platforms for cancer research: potential diagnostic and prognostic applications in clinical oncology.

Authors:  Pedro Jares; Elías Campo
Journal:  Clin Transl Oncol       Date:  2006-03       Impact factor: 3.405

10.  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

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