Literature DB >> 23121567

Deciphering the epigenetic code: an overview of DNA methylation analysis methods.

Muhammad Umer1, Zdenko Herceg.   

Abstract

SIGNIFICANCE: Methylation of cytosine in DNA is linked with gene regulation, and this has profound implications in development, normal biology, and disease conditions in many eukaryotic organisms. A wide range of methods and approaches exist for its identification, quantification, and mapping within the genome. While the earliest approaches were nonspecific and were at best useful for quantification of total methylated cytosines in the chunk of DNA, this field has seen considerable progress and development over the past decades. RECENT ADVANCES: Methods for DNA methylation analysis differ in their coverage and sensitivity, and the method of choice depends on the intended application and desired level of information. Potential results include global methyl cytosine content, degree of methylation at specific loci, or genome-wide methylation maps. Introduction of more advanced approaches to DNA methylation analysis, such as microarray platforms and massively parallel sequencing, has brought us closer to unveiling the whole methylome. CRITICAL ISSUES: Sensitive quantification of DNA methylation from degraded and minute quantities of DNA and high-throughput DNA methylation mapping of single cells still remain a challenge. FUTURE DIRECTIONS: Developments in DNA sequencing technologies as well as the methods for identification and mapping of 5-hydroxymethylcytosine are expected to augment our current understanding of epigenomics. Here we present an overview of methodologies available for DNA methylation analysis with special focus on recent developments in genome-wide and high-throughput methods. While the application focus relates to cancer research, the methods are equally relevant to broader issues of epigenetics and redox science in this special forum.

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Year:  2013        PMID: 23121567      PMCID: PMC3624772          DOI: 10.1089/ars.2012.4923

Source DB:  PubMed          Journal:  Antioxid Redox Signal        ISSN: 1523-0864            Impact factor:   8.401


  61 in total

1.  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

2.  Base-resolution analysis of 5-hydroxymethylcytosine in the mammalian genome.

Authors:  Miao Yu; Gary C Hon; Keith E Szulwach; Chun-Xiao Song; Liang Zhang; Audrey Kim; Xuekun Li; Qing Dai; Yin Shen; Beomseok Park; Jung-Hyun Min; Peng Jin; Bing Ren; Chuan He
Journal:  Cell       Date:  2012-05-17       Impact factor: 41.582

3.  Detection and measurement of PCR bias in quantitative methylation analysis of bisulphite-treated DNA.

Authors:  P M Warnecke; C Stirzaker; J R Melki; D S Millar; C L Paul; S J Clark
Journal:  Nucleic Acids Res       Date:  1997-11-01       Impact factor: 16.971

4.  Chromosome-wide and promoter-specific analyses identify sites of differential DNA methylation in normal and transformed human cells.

Authors:  Michael Weber; Jonathan J Davies; David Wittig; Edward J Oakeley; Michael Haase; Wan L Lam; Dirk Schübeler
Journal:  Nat Genet       Date:  2005-07-10       Impact factor: 38.330

5.  MethyLight: a high-throughput assay to measure DNA methylation.

Authors:  C A Eads; K D Danenberg; K Kawakami; L B Saltz; C Blake; D Shibata; P V Danenberg; P W Laird
Journal:  Nucleic Acids Res       Date:  2000-04-15       Impact factor: 16.971

6.  Identification of differentially methylated sequences in colorectal cancer by methylated CpG island amplification.

Authors:  M Toyota; C Ho; N Ahuja; K W Jair; Q Li; M Ohe-Toyota; S B Baylin; J P Issa
Journal:  Cancer Res       Date:  1999-05-15       Impact factor: 12.701

7.  Establishment of methylation-sensitive-representational difference analysis and isolation of hypo- and hypermethylated genomic fragments in mouse liver tumors.

Authors:  T Ushijima; K Morimura; Y Hosoya; H Okonogi; M Tatematsu; T Sugimura; M Nagao
Journal:  Proc Natl Acad Sci U S A       Date:  1997-03-18       Impact factor: 11.205

8.  Epigenomic changes during leukemia cell differentiation: analysis of histone acetylation and cytosine methylation using CpG island microarrays.

Authors:  M Nouzova; N Holtan; M M Oshiro; R B Isett; J L Munoz-Rodriguez; A F List; M L Narro; S J Miller; N C Merchant; B W Futscher
Journal:  J Pharmacol Exp Ther       Date:  2004-08-09       Impact factor: 4.030

9.  Methylation-specific PCR: a novel PCR assay for methylation status of CpG islands.

Authors:  J G Herman; J R Graff; S Myöhänen; B D Nelkin; S B Baylin
Journal:  Proc Natl Acad Sci U S A       Date:  1996-09-03       Impact factor: 11.205

10.  Methylation profiling of CpG islands in human breast cancer cells.

Authors:  T H Huang; M R Perry; D E Laux
Journal:  Hum Mol Genet       Date:  1999-03       Impact factor: 6.150

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  23 in total

Review 1.  Towards incorporating epigenetic mechanisms into carcinogen identification and evaluation.

Authors:  Zdenko Herceg; Marie-Pierre Lambert; Karin van Veldhoven; Christiana Demetriou; Paolo Vineis; Martyn T Smith; Kurt Straif; Christopher P Wild
Journal:  Carcinogenesis       Date:  2013-06-07       Impact factor: 4.944

Review 2.  DNA Methylation in Radiation-Induced Carcinogenesis: Experimental Evidence and Clinical Perspectives.

Authors:  Isabelle R Miousse; Laura E Ewing; Kristy R Kutanzi; Robert J Griffin; Igor Koturbash
Journal:  Crit Rev Oncog       Date:  2018

Review 3.  Library construction for next-generation sequencing: overviews and challenges.

Authors:  Steven R Head; H Kiyomi Komori; Sarah A LaMere; Thomas Whisenant; Filip Van Nieuwerburgh; Daniel R Salomon; Phillip Ordoukhanian
Journal:  Biotechniques       Date:  2014-02-01       Impact factor: 1.993

4.  Quality control and statistical modeling for environmental epigenetics: a study on in utero lead exposure and DNA methylation at birth.

Authors:  Jaclyn M Goodrich; Brisa N Sánchez; Dana C Dolinoy; Zhenzhen Zhang; Mauricio Hernández-Ávila; Howard Hu; Karen E Peterson; Martha M Téllez-Rojo
Journal:  Epigenetics       Date:  2015-01-27       Impact factor: 4.528

5.  Lowly methylated region analysis identifies EBF1 as a potential epigenetic modifier in breast cancer.

Authors:  Nora Fernandez-Jimenez; Athena Sklias; Szilvia Ecsedi; Vincent Cahais; Davide Degli-Esposti; Antonin Jay; Pierre Benoit Ancey; Hae Dong Woo; Hector Hernandez-Vargas; Zdenko Herceg
Journal:  Epigenetics       Date:  2017-11-10       Impact factor: 4.528

6.  Novel multiplex stool-based assay for the detection of early-stage colon cancer in a Chinese population.

Authors:  Hui-Hong Jiang; Si-Wei Xing; Xuan Tang; Ying Chen; Kang Lin; Lu-Wei He; Mou-Bin Lin; Er-Jiang Tang
Journal:  World J Gastroenterol       Date:  2022-06-28       Impact factor: 5.374

Review 7.  Epigenetics and bone diseases.

Authors:  Tu Huang; Xiu Peng; Zhenxia Li; Quan Zhou; Shishu Huang; Yuting Wang; Juan Li; Youqiang Song
Journal:  Genet Res (Camb)       Date:  2018-07-26       Impact factor: 1.588

8.  Region of interest methylation analysis: a comparison of MSP with MS-HRM and direct BSP.

Authors:  Reem Akika; Zainab Awada; Nahed Mogharbil; Nathalie K Zgheib
Journal:  Mol Biol Rep       Date:  2017-07-04       Impact factor: 2.316

9.  Epigenetic alterations induced by ambient particulate matter in mouse macrophages.

Authors:  Isabelle R Miousse; Marie-Cécile G Chalbot; Nükhet Aykin-Burns; Xiaoying Wang; Alexei Basnakian; Ilias G Kavouras; Igor Koturbash
Journal:  Environ Mol Mutagen       Date:  2014-02-17       Impact factor: 3.216

10.  Quantitative comparison of DNA methylation assays for biomarker development and clinical applications.

Authors: 
Journal:  Nat Biotechnol       Date:  2016-06-27       Impact factor: 54.908

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