Methylated CpG Island Amplification for Methylation Analysis and Cloning Differentially Methylated Sequences
Minoru Toyota, Jean‐Pierre J. Issa
Abstract
Minoru Toyota, Jean‐Pierre J. Issa
Abstract
CpG islands are clusters of CpG dinucleotides that can be found in the 5′ region of about half of human genes ( 1 ). Methylation of cytosine within the 5′ CpG islands is associated with transcriptional inactivation of the involved gene. Aberrant methylation of CpG islands is an important mechanism of gene inactivation in cancer ( 2 , 3 ) and other states such as aging and age-related diseases ( 4 ). Such methylation often involves numerous CpG islands, and emerging data suggests that methylation profiles may be of some utility in disease detection, prognosis, and risk assessment. However, the measurement of DNA methylation abnormalities at multiple gene loci is currently cumbersome, time-consuming, and not easily amenable to automation. Furthermore, the identification of novel gene sequences hypermethylated in cancer is relatively difficult and inefficient using current technology ( 5 , 6 ). Methylated CpG island Amplification (MCA) was developed to overcome these problems ( 7 ). These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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CpG islands are clusters of CpG dinucleotides that can be found in the 5′ region of about half of human genes ( 1 ). Methylation of cytosine within the 5′ CpG islands is associated with transcriptional inactivation of the involved gene. Aberrant methylation of CpG islands is an important mechanism of gene inactivation in cancer ( 2 , 3 ) and other states such as aging and age-related diseases ( 4 ). Such methylation often involves numerous CpG islands, and emerging data suggests that methylation profiles may be of some utility in disease detection, prognosis, and risk assessment. However, the measurement of DNA methylation abnormalities at multiple gene loci is currently cumbersome, time-consuming, and not easily amenable to automation. Furthermore, the identification of novel gene sequences hypermethylated in cancer is relatively difficult and inefficient using current technology ( 5 , 6 ). Methylated CpG island Amplification (MCA) was developed to overcome these problems ( 7 ). These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Key concepts: CpG site, Methylation, DNA methylation, Differentially methylated regions, Biology, Illumina Methylation Assay, Methylated DNA immunoprecipitation, Gene