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2006; Wood et al. 2007; Jones et al. 2008; Parsons et al. 2008). The resulting analyses have provided the most complete analysis to date of several human cancers including colon, breast, pancreatic, and brain cancers. However, such large scale analyses are increasingly being facilitated by more cost-effective next generation sequencing methodologies, as these technologies are poised to revolutionize cancer and biomedical research as we head towards the promise of individualized medicine. 2 Next Generation Sequencing The term next generation sequencing refers to technologies that have enabled the massively parallel analysis of DNA sequence facilitated through the convergence of advancements in molecular biology, nucleic acid chemistry and biochemistry, computational biology, and electrical and mechanical engineering.
Nat Genet 20:207–211. Roach JC, Glusman G, Smit AF, Huff CD, Hubley R, Shannon PT, Rowen L, Pant KP, Goodman N, Bamshad M, Shendure J, Drmanac R, Jorde LB, Hood L, Galas DJ (2010) Analysis of genetic inheritance in a family quartet by whole-genome sequencing. Science 328:636–639. Rowley JD (1973) Letter: A new consistent chromosomal abnormality in chronic myelogenous leukaemia identified by quinacrine fluorescence and Giemsa staining. Nature 243:290–293. Sanger F, Coulson AR (1975) A rapid method for determining sequences in DNA by primed synthesis with DNA polymerase.
1999; Paz et al. 2003). Since CpG islands generally coincide with the promoter of many genes, a CpG island microarray can be useful for investigating the binding sites at the regulatory regions of CpG island-containing genes (Weinmann et al. 2002). We have used Huang’s CpG-island microarray to combine with ChIP assays performed with antibodies against methyl-CpG binding domain (MBD) proteins to identify hypermethylated CpG islands in breast cancer cells (Ballestar et al. 2003). A variety of genomic arrays are currently available.