Title |
Predicting the three-dimensional folding of cis-regulatory regions in mammalian genomes using bioinformatic data and polymer models
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Published in |
Genome Biology, March 2016
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DOI | 10.1186/s13059-016-0909-0 |
Pubmed ID | |
Authors |
Chris A. Brackley, Jill M. Brown, Dominic Waithe, Christian Babbs, James Davies, Jim R. Hughes, Veronica J. Buckle, Davide Marenduzzo |
Abstract |
The three-dimensional (3D) organization of chromosomes can be probed using methods like Capture-C. However, it is unclear how such population-level data relate to the organization within a single cell, and the mechanisms leading to the observed interactions are still largely obscure. We present a polymer modeling scheme based on the assumption that chromosome architecture is maintained by protein bridges, which form chromatin loops. To test the model, we perform FISH experiments and compare with Capture-C data. Starting merely from the locations of protein binding sites, our model accurately predicts the experimentally observed chromatin interactions, revealing a population of 3D conformations. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 25% |
Greece | 1 | 13% |
Unknown | 5 | 63% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 63% |
Scientists | 2 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 2% |
United Kingdom | 1 | <1% |
Norway | 1 | <1% |
Unknown | 128 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 40 | 30% |
Researcher | 35 | 27% |
Student > Bachelor | 10 | 8% |
Student > Doctoral Student | 8 | 6% |
Professor | 7 | 5% |
Other | 11 | 8% |
Unknown | 21 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 44 | 33% |
Biochemistry, Genetics and Molecular Biology | 37 | 28% |
Physics and Astronomy | 13 | 10% |
Computer Science | 8 | 6% |
Engineering | 5 | 4% |
Other | 5 | 4% |
Unknown | 20 | 15% |