Title |
Single-CpG resolution mapping of 5-hydroxymethylcytosine by chemical labeling and exonuclease digestion identifies evolutionarily unconserved CpGs as TET targets
|
---|---|
Published in |
Genome Biology, March 2016
|
DOI | 10.1186/s13059-016-0919-y |
Pubmed ID | |
Authors |
Aurélien A. Sérandour, Stéphane Avner, Elise A. Mahé, Thierry Madigou, Sylvain Guibert, Michaël Weber, Gilles Salbert |
Abstract |
Conventional techniques for single-base resolution mapping of epigenetic modifications of DNA such as 5-hydroxymethylcytosine (5hmC) rely on the sequencing of bisulfite-modified DNA. Here we present an alternative approach called SCL-exo which combines selective chemical labeling (SCL) of 5hmC in genomic DNA with exonuclease (exo) digestion of the bead-trapped modified DNA molecules. Associated with a straightforward bioinformatic analysis, this new procedure provides an unbiased and fast method for mapping this epigenetic mark at high resolution. Implemented on mouse genomic DNA from in vitro-differentiated neural precursor cells, SCL-exo sheds light on an intrinsic lack of conservation of hydroxymethylated CpGs across vertebrates. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 29% |
United Kingdom | 2 | 29% |
Brazil | 1 | 14% |
France | 1 | 14% |
Spain | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 57% |
Scientists | 2 | 29% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 4% |
France | 1 | 2% |
Unknown | 50 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 14 | 26% |
Student > Ph. D. Student | 14 | 26% |
Student > Master | 6 | 11% |
Student > Bachelor | 4 | 8% |
Other | 4 | 8% |
Other | 9 | 17% |
Unknown | 2 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 24 | 45% |
Agricultural and Biological Sciences | 19 | 36% |
Neuroscience | 2 | 4% |
Chemistry | 2 | 4% |
Computer Science | 1 | 2% |
Other | 3 | 6% |
Unknown | 2 | 4% |