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Genome-Wide Chromatin Remodeling Identified at GC-Rich Long Nucleosome-Free Regions

Overview of attention for article published in PLOS ONE, November 2012
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Title
Genome-Wide Chromatin Remodeling Identified at GC-Rich Long Nucleosome-Free Regions
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0047924
Pubmed ID
Authors

Karin Schwarzbauer, Ulrich Bodenhofer, Sepp Hochreiter

Abstract

To gain deeper insights into principles of cell biology, it is essential to understand how cells reorganize their genomes by chromatin remodeling. We analyzed chromatin remodeling on next generation sequencing data from resting and activated T cells to determine a whole-genome chromatin remodeling landscape. We consider chromatin remodeling in terms of nucleosome repositioning which can be observed most robustly in long nucleosome-free regions (LNFRs) that are occupied by nucleosomes in another cell state. We found that LNFR sequences are either AT-rich or GC-rich, where nucleosome repositioning was observed much more prominently in GC-rich LNFRs - a considerable proportion of them outside promoter regions. Using support vector machines with string kernels, we identified a GC-rich DNA sequence pattern indicating loci of nucleosome repositioning in resting T cells. This pattern appears to be also typical for CpG islands. We found out that nucleosome repositioning in GC-rich LNFRs is indeed associated with CpG islands and with binding sites of the CpG-island-binding ZF-CXXC proteins KDM2A and CFP1. That this association occurs prominently inside and also prominently outside of promoter regions hints at a mechanism governing nucleosome repositioning that acts on a whole-genome scale.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Greece 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 34%
Researcher 7 18%
Student > Bachelor 3 8%
Student > Master 3 8%
Student > Doctoral Student 2 5%
Other 6 16%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 47%
Biochemistry, Genetics and Molecular Biology 8 21%
Immunology and Microbiology 3 8%
Computer Science 2 5%
Chemistry 2 5%
Other 2 5%
Unknown 3 8%