Title |
Targeted Chromatin Capture (T2C): a novel high resolution high throughput method to detect genomic interactions and regulatory elements
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Published in |
Epigenetics & Chromatin, June 2014
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DOI | 10.1186/1756-8935-7-10 |
Pubmed ID | |
Authors |
Petros Kolovos, Harmen JG van de Werken, Nick Kepper, Jessica Zuin, Rutger WW Brouwer, Christel EM Kockx, Kerstin S Wendt, Wilfred FJ van IJcken, Frank Grosveld, Tobias A Knoch |
Abstract |
Significant efforts have recently been put into the investigation of the spatial organization and the chromatin-interaction networks of genomes. Chromosome conformation capture (3C) technology and its derivatives are important tools used in this effort. However, many of these have limitations, such as being limited to one viewpoint, expensive with moderate to low resolution, and/or requiring a large sequencing effort. Techniques like Hi-C provide a genome-wide analysis. However, it requires massive sequencing effort with considerable costs. Here we describe a new technique termed Targeted Chromatin Capture (T2C), to interrogate large selected regions of the genome. T2C provides an unbiased view of the spatial organization of selected loci at superior resolution (single restriction fragment resolution, from 2 to 6 kbp) at much lower costs than Hi-C due to the lower sequencing effort. |
X Demographics
Geographical breakdown
Country | Count | As % |
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France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 1% |
United States | 2 | <1% |
France | 2 | <1% |
Italy | 1 | <1% |
Canada | 1 | <1% |
Netherlands | 1 | <1% |
Denmark | 1 | <1% |
Mexico | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
Unknown | 192 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 55 | 27% |
Researcher | 51 | 25% |
Student > Master | 26 | 13% |
Student > Bachelor | 15 | 7% |
Professor > Associate Professor | 13 | 6% |
Other | 30 | 15% |
Unknown | 16 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 96 | 47% |
Biochemistry, Genetics and Molecular Biology | 77 | 37% |
Computer Science | 4 | 2% |
Medicine and Dentistry | 2 | <1% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | <1% |
Other | 5 | 2% |
Unknown | 21 | 10% |