Chapter title |
Nucleosome Occupancy and Methylome Sequencing (NOMe-seq)
|
---|---|
Chapter number | 14 |
Book title |
DNA Methylation Protocols
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7481-8_14 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7479-5, 978-1-4939-7481-8
|
Authors |
Fides D. Lay, Theresa K. Kelly, Peter A. Jones |
Abstract |
Various methodologies are available to interrogate specific components of epigenetic mechanisms such as DNA methylation or nucleosome occupancy at both the locus-specific and the genome-wide level. It has become increasingly clear, however, that comprehension of the functional interactions between epigenetic mechanisms is critical for understanding how cellular transcription programs are regulated or deregulated during normal and disease development. The Nucleosome Occupancy and Methylome sequencing (NOMe-seq) assay allows us to directly measure the relationship between DNA methylation and nucleosome occupancy by taking advantage of the methyltransferase M.CviPI, which methylates unprotected GpC dinucleotides to create a footprint of chromatin accessibility. This assay generates dual nucleosome occupancy and DNA methylation information at a single-DNA molecule resolution using as little as 200,000 cells and in as short as 15 min reaction time. DNA methylation levels and nucleosome occupancy status of genomic regions of interest can be subsequently interrogated by cloning PCR-amplified bisulfite DNA and sequencing individual clones. Alternatively, NOMe-seq can be combined with next-generation sequencing in order to generate an integrated global map of DNA methylation and nucleosome occupancy, which allows for comprehensive examination as to how these epigenetic components correlate with each other. |
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Unknown | 2 | 100% |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
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Unknown | 53 | 100% |
Demographic breakdown
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Student > Ph. D. Student | 10 | 19% |
Researcher | 9 | 17% |
Student > Master | 5 | 9% |
Student > Bachelor | 4 | 8% |
Student > Postgraduate | 3 | 6% |
Other | 4 | 8% |
Unknown | 18 | 34% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 6 | 11% |
Medicine and Dentistry | 5 | 9% |
Computer Science | 2 | 4% |
Engineering | 2 | 4% |
Other | 3 | 6% |
Unknown | 16 | 30% |