Title |
NicE-seq: high resolution open chromatin profiling
|
---|---|
Published in |
Genome Biology, June 2017
|
DOI | 10.1186/s13059-017-1247-6 |
Pubmed ID | |
Authors |
V. K. Chaithanya Ponnaluri, Guoqiang Zhang, Pierre-Olivier Estève, George Spracklin, Stephanie Sian, Shuang-yong Xu, Touati Benoukraf, Sriharsa Pradhan |
Abstract |
Open chromatin profiling integrates information across diverse regulatory elements to reveal the transcriptionally active genome. Tn5 transposase and DNase I sequencing-based methods prefer native or high cell numbers. Here, we describe NicE-seq (nicking enzyme assisted sequencing) for high-resolution open chromatin profiling on both native and formaldehyde-fixed cells. NicE-seq captures and reveals open chromatin sites (OCSs) and transcription factor occupancy at single nucleotide resolution, coincident with DNase hypersensitive and ATAC-seq sites at a low sequencing burden. OCSs correlate with RNA polymerase II occupancy and active chromatin marks, while displaying a contrasting pattern to CpG methylation. Decitabine-mediated hypomethylation of HCT116 displays higher numbers of OCSs. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 19 | 26% |
United Kingdom | 13 | 18% |
Australia | 4 | 5% |
India | 3 | 4% |
Germany | 2 | 3% |
France | 2 | 3% |
Denmark | 2 | 3% |
Canada | 1 | 1% |
Japan | 1 | 1% |
Other | 4 | 5% |
Unknown | 22 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 38 | 52% |
Members of the public | 34 | 47% |
Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Unknown | 172 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 45 | 26% |
Student > Ph. D. Student | 44 | 25% |
Student > Master | 17 | 10% |
Other | 12 | 7% |
Professor > Associate Professor | 7 | 4% |
Other | 26 | 15% |
Unknown | 22 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 73 | 42% |
Agricultural and Biological Sciences | 49 | 28% |
Medicine and Dentistry | 8 | 5% |
Computer Science | 4 | 2% |
Chemistry | 4 | 2% |
Other | 12 | 7% |
Unknown | 23 | 13% |