Literature DB >> 9949205

Methylation profiling of CpG islands in human breast cancer cells.

T H Huang1, M R Perry, D E Laux.   

Abstract

CpG island hypermethylation is known to be associated with gene silencing in cancer. This epigenetic event is generally accepted as a stochastic process in tumor cells resulting from aberrant DNA methyltransferase (DNA-MTase) activities. Specific patterns of CpG island methylation could result from clonal selection of cells having growth advantages due to silencing of associated tumor suppressor genes. Alternatively, methylation patterns may be determined by other, as yet unidentified factors. To explore further the underlying mechanisms, we developed a novel array-based method, called differential methylation hybridization (DMH), which allows a genome-wide screening of hypermethylated CpG islands in tumor cells. DMH was used to determine the methylation status of >276 CpG island loci in a group of breast cancer cell lines. Between 5 and 14% of these loci were hypermethylated extensively in these cells relative to a normal control. Pattern analysis of 30 positive loci by Southern hybridization indicated that CpG islands might differ in their susceptibility to hypermethylation. Loci exhibiting pre-existing methylation in normal controls were more susceptible to de novo methylation in these cancer cells than loci without this condition. In addition, these cell lines exhibited different intrinsic abilities to methylate CpG islands not directly associated with methyltransferase activities. Our study provides evidence that, aside from random DNA-MTase action, additional cellular factors exist that govern aberrant methylation in breast cancer cells.

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Year:  1999        PMID: 9949205     DOI: 10.1093/hmg/8.3.459

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  117 in total

Review 1.  Epigenetic gene silencing in cancer.

Authors:  B Tycko
Journal:  J Clin Invest       Date:  2000-02       Impact factor: 14.808

2.  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

3.  DNA methylation density influences the stability of an epigenetic imprint and Dnmt3a/b-independent de novo methylation.

Authors:  Matthew C Lorincz; Dirk Schübeler; Shauna R Hutchinson; David R Dickerson; Mark Groudine
Journal:  Mol Cell Biol       Date:  2002-11       Impact factor: 4.272

Review 4.  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

5.  Non-methylated Genomic Sites Coincidence Cloning (NGSCC): an approach to large scale analysis of hypomethylated CpG patterns at predetermined genomic loci.

Authors:  T Azhikina; I Gainetdinov; Yu Skvortsova; A Batrak; N Dmitrieva; E Sverdlov
Journal:  Mol Genet Genomics       Date:  2003-12-10       Impact factor: 3.291

6.  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

7.  Hypermethylation of CpG islands is more prevalent than hypomethylation across the entire genome in breast carcinogenesis.

Authors:  Jianxin Tan; Yumei Gu; Xiaomei Zhang; Sihong You; Xiaowei Lu; Senqing Chen; Xiao Han; Yujie Sun
Journal:  Clin Exp Med       Date:  2012-01-04       Impact factor: 3.984

Review 8.  Using DNA methylation to understand biological consequences of genetic variability.

Authors:  Dena G Hernandez; Andrew B Singleton
Journal:  Neurodegener Dis       Date:  2011-11-26       Impact factor: 2.977

9.  DNA methylation patterns in alcoholics and family controls.

Authors:  Manish Thapar; Jonathan Covault; Victor Hesselbrock; Herbert L Bonkovsky
Journal:  World J Gastrointest Oncol       Date:  2012-06-15

Review 10.  Epigenomics and breast cancer.

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

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