DNA甲基化
表观遗传学
计算生物学
亚硫酸氢盐测序
照明菌甲基化试验
生物
甲基化DNA免疫沉淀
甲基化
DNA测序
基因组
遗传学
DNA
基因
基因表达
作者
Jessica A. Tang,Fang Fang,Dave P. Miller,Jay Pilrose,Daniela Matei,Tim H M Huang,Kenneth P. Nephew
出处
期刊:Methods in molecular biology
日期:2015-01-01
卷期号:: 653-675
被引量:21
标识
DOI:10.1007/978-1-4939-1804-1_34
摘要
AbstractCytosine methylation in DNA constitutes an important epigenetic layer of transcriptional and regulatory control in many eukaryotes. Profiling DNA methylation across the genome is critical to understanding the influence of epigenetics in normal biology and disease, such as cancer. Genome-wide analyses such as arrays and next-generation sequencing (NGS) technologies have been used to assess large fractions of the methylome at a single-base-pair resolution. However, the range of DNA methylation profiling techniques can make selecting the appropriate protocol a challenge. This chapter discusses the advantages and disadvantages of various methylome detection approaches to assess which is appropriate for the question at hand. Here, we focus on four prominent genome-wide approaches: whole-genome bisulfite sequencing (WGBS); methyl-binding domain capture sequencing (MBDCap-Seq); reduced-representation-bisulfite-sequencing (RRBS); and Infinium Methylation450 BeadChips (450 K, Illumina). We discuss some of the requirements, merits, and challenges that should be considered when choosing a methylome technology to ensure that it will be informative. In addition, we show how genome-wide methylation detection arrays and high-throughput sequencing have provided immense insight into ovarian cancer-specific methylation signatures that may serve as diagnostic biomarkers or predict patient response to epigenetic therapy.Key wordsEpigeneticsMethylationNext-generation sequencingOvarian cancerWhole-genome bisulfite sequencing
科研通智能强力驱动
Strongly Powered by AbleSci AI