Chapter title |
Sequencing the cancer methylome.
|
---|---|
Chapter number | 33 |
Book title |
Cancer Epigenetics
|
Published in |
Methods in molecular biology, January 2015
|
DOI | 10.1007/978-1-4939-1804-1_33 |
Pubmed ID | |
Book ISBNs |
978-1-4939-1803-4, 978-1-4939-1804-1
|
Authors |
Austin Y Shull, Satish K Noonepalle, Eun-Joon Lee, Jeong-Hyeon Choi, Huidong Shi, Shull AY, Noonepalle SK, Lee EJ, Choi JH, Shi H, Austin Y. Shull, Satish K. Noonepalle, Shull, Austin Y., Noonepalle, Satish K., Lee, Eun-Joon, Choi, Jeong-Hyeon, Shi, Huidong |
Abstract |
DNA methylation is the most studied epigenetic event in cancer, with focus being placed on studying the entire DNA methylation landscape in specific cancers. Due to the recent advances of next-generation sequencing technology, several effective methods have been developed for high-throughput analysis of DNA methylation, enabling DNA methylation markers to be innovative diagnostic and therapeutic strategies in cancer. In this review, we discuss various current and emerging technologies in DNA methylation analysis that integrate next-generation sequencing with the basic principles of methylation detections including methylation sensitive restriction enzyme digestion, affinity purification with antibody or binding proteins, and bisulfite treatment. Variations to these described methods have also allowed for detection of 5-hydroxymethylcytosine marks on a genome-wide scale. We also describe several of the bioinformatic tools used to properly analyze methylome-sequencing data. Finally, recently developed artificial transcription-factor (ATF) targeting tools may provide flexible manipulation of DNA methylation events in specific gene regions, revealing the functional consequences of particular DNA methylation events. |
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Mendeley readers
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Other | 2 | 13% |
Student > Ph. D. Student | 2 | 13% |
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Professor > Associate Professor | 2 | 13% |
Other | 2 | 13% |
Unknown | 1 | 7% |
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Immunology and Microbiology | 1 | 7% |
Other | 1 | 7% |
Unknown | 2 | 13% |