Methylation-Sensitive Amplification Length Polymorphism (MS-AFLP) Microarrays for Epigenetic Analysis of Human Genomes View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018-04-01

AUTHORS

Sergio Alonso , Koichi Suzuki , Fumiichiro Yamamoto , Manuel Perucho

ABSTRACT

Somatic, and in a minor scale also germ line, epigenetic aberrations are fundamental to carcinogenesis, cancer progression, and tumor phenotype. DNA methylation is the most extensively studied and arguably the best understood epigenetic mechanisms that become altered in cancer. Both somatic loss of methylation (hypomethylation) and gain of methylation (hypermethylation) are found in the genome of malignant cells. In general, the cancer cell epigenome is globally hypomethylated, while some regions—typically gene-associated CpG islands—become hypermethylated. Given the profound impact that DNA methylation exerts on the transcriptional profile and genomic stability of cancer cells, its characterization is essential to fully understand the complexity of cancer biology, improve tumor classification, and ultimately advance cancer patient management and treatment. A plethora of methods have been devised to analyze and quantify DNA methylation alterations. Several of the early-developed methods relied on the use of methylation-sensitive restriction enzymes, whose activity depends on the methylation status of their recognition sequences. Among these techniques, methylation-sensitive amplification length polymorphism (MS-AFLP) was developed in the early 2000s, and successfully adapted from its original gel electrophoresis fingerprinting format to a microarray format that notably increased its throughput and allowed the quantification of the methylation changes. This array-based platform interrogates over 9500 independent loci putatively amplified by the MS-AFLP technique, corresponding to the NotI sites mapped throughout the human genome. More... »

PAGES

137-156

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4939-7768-0_8

DOI

http://dx.doi.org/10.1007/978-1-4939-7768-0_8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101883947

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29605851


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