Literature DB >> 20599551

Methods for DNA methylation analysis and applications in colon cancer.

Mireia Jordà1, Miguel A Peinado.   

Abstract

It is well established that epigenetic events, in an intimate cooperation with genetic events, are involved in every step of tumorigenesis. DNA methylation, which in mammals takes place in the cytosines that precede a guanine (CpG dinucleotide), is the most well-characterized epigenetic mark. The study of aberrant DNA methylation patterns, such as hypermethylation of CpG islands and global genomic hypomethylation, are common issues in the studies on all types of cancer, and as in other areas of molecular oncology, colorectal cancer has become a privileged target. Besides the great variety of technologies available for the analysis of DNA methylation, most methods are based on three principles: methylation-sensitive enzymes, bisulphite conversion of unmethylated cytosines and immunoprecipitation of 5-methylcytosines. By combining each one of these principles with other genomic methodologies, a large range of approaches aimed at the analysis of methylation from one specific CpG site to a large number of sequences on the genome scale and suitable for different research needs have been developed. The goal of this review is to describe the most widely used methylation methods in the study of cancer, as well as the potential clinical applications of DNA methylation biomarkers in colorectal cancer. 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20599551     DOI: 10.1016/j.mrfmmm.2010.06.010

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  13 in total

1.  Application of Multiplex Bisulfite PCR-Ligase Detection Reaction-Real-Time Quantitative PCR Assay in Interrogating Bioinformatically Identified, Blood-Based Methylation Markers for Colorectal Cancer.

Authors:  Manny D Bacolod; Aashiq H Mirza; Jianmin Huang; Sarah F Giardina; Philip B Feinberg; Steven A Soper; Francis Barany
Journal:  J Mol Diagn       Date:  2020-05-12       Impact factor: 5.568

2.  Methylation of Werner syndrome protein is associated with the occurrence and development of invasive meningioma via the regulation of Myc and p53 expression.

Authors:  Puxian Li; Shuyu Hao; Zhiyong Bi; Junting Zhang; Zhen Wu; Xiaohui Ren
Journal:  Exp Ther Med       Date:  2015-05-26       Impact factor: 2.447

3.  Combined analysis of DNA methylation and cell cycle in cancer cells.

Authors:  Cécile Desjobert; Mounir El Maï; Tom Gérard-Hirne; Dominique Guianvarc'h; Arnaud Carrier; Cyrielle Pottier; Paola B Arimondo; Joëlle Riond
Journal:  Epigenetics       Date:  2015-01-23       Impact factor: 4.528

4.  Diagnostic and prognostic utility of methylation and protein expression patterns of myopodin in colon cancer.

Authors:  Sergio Esteban; Patricia Moya; Antonio Fernandez-Suarez; Marta Vidaurreta; Pilar González-Peramato; Marta Sánchez-Carbayo
Journal:  Tumour Biol       Date:  2012-01-18

5.  Review of applications of high-throughput sequencing in personalized medicine: barriers and facilitators of future progress in research and clinical application.

Authors:  Gaye Lightbody; Valeriia Haberland; Fiona Browne; Laura Taggart; Huiru Zheng; Eileen Parkes; Jaine K Blayney
Journal:  Brief Bioinform       Date:  2019-09-27       Impact factor: 11.622

6.  KiSS-1 methylation and protein expression patterns contribute to diagnostic and prognostic assessments in tissue specimens for colorectal cancer.

Authors:  Patricia Moya; Sergio Esteban; Antonio Fernandez-Suarez; Marisa Maestro; Manuel Morente; Marta Sánchez-Carbayo
Journal:  Tumour Biol       Date:  2012-11-07

7.  Overlapping DNA methylation dynamics in mouse intestinal cell differentiation and early stages of malignant progression.

Authors:  Marta Forn; Anna Díez-Villanueva; Anna Merlos-Suárez; Mar Muñoz; Sergi Lois; Elvira Carriò; Mireia Jordà; Anna Bigas; Eduard Batlle; Miguel A Peinado
Journal:  PLoS One       Date:  2015-05-01       Impact factor: 3.240

8.  Methylation plotter: a web tool for dynamic visualization of DNA methylation data.

Authors:  Izaskun Mallona; Anna Díez-Villanueva; Miguel A Peinado
Journal:  Source Code Biol Med       Date:  2014-06-07

9.  Evaluation of single CpG sites as proxies of CpG island methylation states at the genome scale.

Authors:  Víctor Barrera; Miguel A Peinado
Journal:  Nucleic Acids Res       Date:  2012-10-12       Impact factor: 16.971

Review 10.  DNA methylation biomarkers: cancer and beyond.

Authors:  Thomas Mikeska; Jeffrey M Craig
Journal:  Genes (Basel)       Date:  2014-09-16       Impact factor: 4.096

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