Title |
The 4D nucleome project
|
---|---|
Published in |
Nature, September 2017
|
DOI | 10.1038/nature23884 |
Pubmed ID | |
Authors |
Job Dekker, Andrew S. Belmont, Mitchell Guttman, Victor O. Leshyk, John T. Lis, Stavros Lomvardas, Leonid A. Mirny, Clodagh C. O’Shea, Peter J. Park, Bing Ren, Joan C. Ritland Politz, Jay Shendure, Sheng Zhong |
Abstract |
The 4D Nucleome Network aims to develop and apply approaches to map the structure and dynamics of the human and mouse genomes in space and time with the goal of gaining deeper mechanistic insights into how the nucleus is organized and functions. The project will develop and benchmark experimental and computational approaches for measuring genome conformation and nuclear organization, and investigate how these contribute to gene regulation and other genome functions. Validated experimental technologies will be combined with biophysical approaches to generate quantitative models of spatial genome organization in different biological states, both in cell populations and in single cells. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 75 | 23% |
United Kingdom | 21 | 6% |
France | 13 | 4% |
Spain | 11 | 3% |
India | 10 | 3% |
Netherlands | 6 | 2% |
Brazil | 6 | 2% |
Switzerland | 4 | 1% |
Sweden | 4 | 1% |
Other | 51 | 16% |
Unknown | 126 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 174 | 53% |
Scientists | 132 | 40% |
Practitioners (doctors, other healthcare professionals) | 13 | 4% |
Science communicators (journalists, bloggers, editors) | 8 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Lithuania | 1 | <1% |
Italy | 1 | <1% |
Switzerland | 1 | <1% |
Unknown | 911 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 236 | 26% |
Researcher | 176 | 19% |
Student > Master | 86 | 9% |
Student > Bachelor | 82 | 9% |
Professor | 36 | 4% |
Other | 117 | 13% |
Unknown | 182 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 378 | 41% |
Agricultural and Biological Sciences | 169 | 18% |
Physics and Astronomy | 29 | 3% |
Computer Science | 28 | 3% |
Medicine and Dentistry | 22 | 2% |
Other | 95 | 10% |
Unknown | 194 | 21% |