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Impact of Chromatin Structures on DNA Processing for Genomic Analyses

Overview of attention for article published in PLOS ONE, August 2009
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Title
Impact of Chromatin Structures on DNA Processing for Genomic Analyses
Published in
PLOS ONE, August 2009
DOI 10.1371/journal.pone.0006700
Pubmed ID
Authors

Leonid Teytelman, Bilge Özaydın, Oliver Zill, Philippe Lefrançois, Michael Snyder, Jasper Rine, Michael B. Eisen

Abstract

Chromatin has an impact on recombination, repair, replication, and evolution of DNA. Here we report that chromatin structure also affects laboratory DNA manipulation in ways that distort the results of chromatin immunoprecipitation (ChIP) experiments. We initially discovered this effect at the Saccharomyces cerevisiae HMR locus, where we found that silenced chromatin was refractory to shearing, relative to euchromatin. Using input samples from ChIP-Seq studies, we detected a similar bias throughout the heterochromatic portions of the yeast genome. We also observed significant chromatin-related effects at telomeres, protein binding sites, and genes, reflected in the variation of input-Seq coverage. Experimental tests of candidate regions showed that chromatin influenced shearing at some loci, and that chromatin could also lead to enriched or depleted DNA levels in prepared samples, independently of shearing effects. Our results suggested that assays relying on immunoprecipitation of chromatin will be biased by intrinsic differences between regions packaged into different chromatin structures - biases which have been largely ignored to date. These results established the pervasiveness of this bias genome-wide, and suggested that this bias can be used to detect differences in chromatin structures across the genome.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 17 8%
United Kingdom 4 2%
Italy 2 <1%
Germany 2 <1%
Norway 1 <1%
Sweden 1 <1%
France 1 <1%
Indonesia 1 <1%
Czechia 1 <1%
Other 6 3%
Unknown 184 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 71 32%
Researcher 60 27%
Student > Master 13 6%
Student > Bachelor 11 5%
Professor > Associate Professor 11 5%
Other 31 14%
Unknown 23 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 137 62%
Biochemistry, Genetics and Molecular Biology 34 15%
Engineering 5 2%
Immunology and Microbiology 3 1%
Computer Science 3 1%
Other 14 6%
Unknown 24 11%