title: Tools and Strategies for Analysis of Genome-Wide and Gene-Specific DNA Methylation Patterns.
abstract: DNA methylation is a stable epigenetic mechanism that has important roles in the normal function of a cell and therefore also in disease etiology. Accurate measurements of normal and altered DNA methylation patterns are important to understand its role in regulating gene expression and cell phenotype. Remarkable progress has been made over the last decade in developing methodologies to investigate DNA methylation. The availability of next-generation sequencing has enabled the profiling of methylation marks at an unprecedented scale. Several methods that were previously used to profile locus-specific methylation have now been upgraded to a genome-wide scale using high-throughput sequencing or array platforms. However, because there are so many techniques available, researchers are faced with the challenge of assessing the potential merits or limitations of each technique and selecting the appropriate method for their analysis. In this review we discuss the strengths and weaknesses of genome-wide and gene-specific analysis tools for interrogating DNA methylation. We particularly focus on the design and analysis strategies involved. This review will provide a guideline for selecting the appropriate methods and tools for large-scale and locus-specific DNA methylation analysis.
authors.affiliation: Department of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, P.O. Box 56, Dunedin, 9054, New Zealand. aniruddha.chatterjee@otago.ac.nz.|Gravida: National Centre for Growth and Development, University of Auckland, 85 Park Road, Grafton, Auckland, New Zealand. aniruddha.chatterjee@otago.ac.nz.
authors.forename: Aniruddha
authors.initials: A
authors.lastname: Chatterjee
authors.affiliation: Department of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, P.O. Box 56, Dunedin, 9054, New Zealand.
authors.forename: Euan J
authors.initials: EJ
authors.lastname: Rodger
authors.affiliation: Department of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, P.O. Box 56, Dunedin, 9054, New Zealand.|Gravida: National Centre for Growth and Development, University of Auckland, 85 Park Road, Grafton, Auckland, New Zealand.
authors.forename: Ian M
authors.initials: IM
authors.lastname: Morison
authors.affiliation: Department of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, P.O. Box 56, Dunedin, 9054, New Zealand.|Maurice Wilkins Centre forMolecular Biodiscovery, Level 2, 3A Symonds Street, Auckland, New Zealand.
authors.forename: Michael R
authors.initials: MR
authors.lastname: Eccles
authors.affiliation: Department of Biochemistry, University of Otago, 710 Cumberland Street, Dunedin, 9054, New Zealand.
authors.forename: Peter A
authors.initials: PA
authors.lastname: Stockwell
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods; D018899:CpG Islands; D019175:DNA Methylation; D044127:Epigenesis, Genetic; D057890:Epigenomics / Q000379:methods*; D020869:Gene Expression Profiling / Q000379:methods; D005796:Genes; D016678:Genome; D055106:Genome-Wide Association Study / Q000379:methods; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D017422:Sequence Analysis, DNA; D012984:Software; D064878:Web Browser
keywords: 450K; Alignment; Bisulfite sequencing; CpG island; DNA methylation; Differential methylation; Epigenetics; Next-generation DNA sequencing; RRBS; WGBS