↓ Skip to main content

PLOS

Structure and Dynamics of Interphase Chromosomes

Overview of attention for article published in PLoS Computational Biology, August 2008
Altmetric Badge

Mentioned by

f1000
1 research highlight platform

Citations

dimensions_citation
476 Dimensions

Readers on

mendeley
284 Mendeley
citeulike
5 CiteULike
Title
Structure and Dynamics of Interphase Chromosomes
Published in
PLoS Computational Biology, August 2008
DOI 10.1371/journal.pcbi.1000153
Pubmed ID
Authors

Angelo Rosa, Ralf Everaers

Abstract

During interphase chromosomes decondense, but fluorescent in situ hybridization experiments reveal the existence of distinct territories occupied by individual chromosomes inside the nuclei of most eukaryotic cells. We use computer simulations to show that the existence and stability of territories is a kinetic effect that can be explained without invoking an underlying nuclear scaffold or protein-mediated interactions between DNA sequences. In particular, we show that the experimentally observed territory shapes and spatial distances between marked chromosome sites for human, Drosophila, and budding yeast chromosomes can be reproduced by a parameter-free minimal model of decondensing chromosomes. Our results suggest that the observed interphase structure and dynamics are due to generic polymer effects: confined Brownian motion conserving the local topological state of long chain molecules and segregation of mutually unentangled chains due to topological constraints.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 284 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Netherlands 3 1%
Germany 2 <1%
United Kingdom 2 <1%
France 1 <1%
Korea, Republic of 1 <1%
Switzerland 1 <1%
Sweden 1 <1%
Denmark 1 <1%
Other 1 <1%
Unknown 266 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 84 30%
Researcher 67 24%
Student > Master 25 9%
Professor 20 7%
Student > Bachelor 14 5%
Other 35 12%
Unknown 39 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 30%
Physics and Astronomy 65 23%
Biochemistry, Genetics and Molecular Biology 49 17%
Engineering 10 4%
Computer Science 6 2%
Other 24 8%
Unknown 46 16%