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An All-Atom Model of the Chromatin Fiber Containing Linker Histones Reveals a Versatile Structure Tuned by the Nucleosomal Repeat Length

Overview of attention for article published in PLOS ONE, September 2007
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Title
An All-Atom Model of the Chromatin Fiber Containing Linker Histones Reveals a Versatile Structure Tuned by the Nucleosomal Repeat Length
Published in
PLOS ONE, September 2007
DOI 10.1371/journal.pone.0000877
Pubmed ID
Authors

Hua Wong, Jean-Marc Victor, Julien Mozziconacci

Abstract

In the nucleus of eukaryotic cells, histone proteins organize the linear genome into a functional and hierarchical architecture. In this paper, we use the crystal structures of the nucleosome core particle, B-DNA and the globular domain of H5 linker histone to build the first all-atom model of compact chromatin fibers. In this 3D jigsaw puzzle, DNA bending is achieved by solving an inverse kinematics problem. Our model is based on recent electron microscopy measurements of reconstituted fiber dimensions. Strikingly, we find that the chromatin fiber containing linker histones is a polymorphic structure. We show that different fiber conformations are obtained by tuning the linker histone orientation at the nucleosomes entry/exit according to the nucleosomal repeat length. We propose that the observed in vivo quantization of nucleosomal repeat length could reflect nature's ability to use the DNA molecule's helical geometry in order to give chromatin versatile topological and mechanical properties.

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Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
Israel 2 2%
France 1 <1%
Brazil 1 <1%
Sweden 1 <1%
Germany 1 <1%
United Kingdom 1 <1%
Chile 1 <1%
Russia 1 <1%
Other 1 <1%
Unknown 110 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 29%
Student > Ph. D. Student 33 26%
Student > Master 11 9%
Professor 10 8%
Student > Postgraduate 8 6%
Other 16 13%
Unknown 12 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 52%
Biochemistry, Genetics and Molecular Biology 18 14%
Physics and Astronomy 11 9%
Chemistry 7 6%
Engineering 3 2%
Other 7 6%
Unknown 15 12%