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      The Effect of Micrococcal Nuclease Digestion on Nucleosome Positioning Data

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          Abstract

          Eukaryotic genomes are packed into chromatin, whose basic repeating unit is the nucleosome. Nucleosome positioning is a widely researched area. A common experimental procedure to determine nucleosome positions involves the use of micrococcal nuclease (MNase). Here, we show that the cutting preference of MNase in combination with size selection generates a sequence-dependent bias in the resulting fragments. This strongly affects nucleosome positioning data and especially sequence-dependent models for nucleosome positioning. As a consequence we see a need to re-evaluate whether the DNA sequence is a major determinant of nucleosome positioning in vivo. More generally, our results show that data generated after MNase digestion of chromatin requires a matched control experiment in order to determine nucleosome positions.

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          Most cited references44

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          The DNA-encoded nucleosome organization of a eukaryotic genome.

          Nucleosome organization is critical for gene regulation. In living cells this organization is determined by multiple factors, including the action of chromatin remodellers, competition with site-specific DNA-binding proteins, and the DNA sequence preferences of the nucleosomes themselves. However, it has been difficult to estimate the relative importance of each of these mechanisms in vivo, because in vivo nucleosome maps reflect the combined action of all influencing factors. Here we determine the importance of nucleosome DNA sequence preferences experimentally by measuring the genome-wide occupancy of nucleosomes assembled on purified yeast genomic DNA. The resulting map, in which nucleosome occupancy is governed only by the intrinsic sequence preferences of nucleosomes, is similar to in vivo nucleosome maps generated in three different growth conditions. In vitro, nucleosome depletion is evident at many transcription factor binding sites and around gene start and end sites, indicating that nucleosome depletion at these sites in vivo is partly encoded in the genome. We confirm these results with a micrococcal nuclease-independent experiment that measures the relative affinity of nucleosomes for approximately 40,000 double-stranded 150-base-pair oligonucleotides. Using our in vitro data, we devise a computational model of nucleosome sequence preferences that is significantly correlated with in vivo nucleosome occupancy in Caenorhabditis elegans. Our results indicate that the intrinsic DNA sequence preferences of nucleosomes have a central role in determining the organization of nucleosomes in vivo.
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            Chromatin structure: a repeating unit of histones and DNA.

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              Genome-scale identification of nucleosome positions in S. cerevisiae.

              G.-C. Yuan (2005)
              The positioning of nucleosomes along chromatin has been implicated in the regulation of gene expression in eukaryotic cells, because packaging DNA into nucleosomes affects sequence accessibility. We developed a tiled microarray approach to identify at high resolution the translational positions of 2278 nucleosomes over 482 kilobases of Saccharomyces cerevisiae DNA, including almost all of chromosome III and 223 additional regulatory regions. The majority of the nucleosomes identified were well-positioned. We found a stereotyped chromatin organization at Pol II promoters consisting of a nucleosome-free region approximately 200 base pairs upstream of the start codon flanked on both sides by positioned nucleosomes. The nucleosome-free sequences were evolutionarily conserved and were enriched in poly-deoxyadenosine or poly-deoxythymidine sequences. Most occupied transcription factor binding motifs were devoid of nucleosomes, strongly suggesting that nucleosome positioning is a global determinant of transcription factor access.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2010
                29 December 2010
                : 5
                : 12
                : e15754
                Affiliations
                [1 ]Department of Computational Molecular Biology, MPI für Molekulare Genetik, Berlin, Germany
                [2 ]Group Cardiovascular Genetics, Department of Vertebrate Genomics, MPI für Molekulare Genetik, Berlin, Germany
                [3 ]Abteilung für Genetik, ZMB, Universität Duisburg-Essen, Essen, Germany
                [4 ]Neurodegenerative Disorder Group, Otto Warburg Laboratory, MPI für Molekulare Genetik, Berlin, Germany
                National Institute on Aging, National Institutes of Health, United States of America
                Author notes

                Conceived and designed the experiments: H-RC SK AEE-M SRS. Performed the experiments: H-RC ID FH CL. Analyzed the data: H-RC ID. Wrote the paper: H-RC SK AEE-M SRS MV.

                Article
                PONE-D-10-03013
                10.1371/journal.pone.0015754
                3012088
                21206756
                fe08ae20-7b49-4fca-a331-c7f2bbe2ed87
                Chung et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 6 October 2010
                : 22 November 2010
                Page count
                Pages: 8
                Categories
                Research Article
                Biology
                Computational Biology
                Genomics
                Epigenomics
                Sequence Analysis
                Genomics
                Chromosome Biology
                Chromatin
                Functional Genomics
                Model Organisms
                Yeast and Fungal Models
                Saccharomyces Cerevisiae
                Molecular Cell Biology
                Chromosome Biology
                Chromatin

                Uncategorized
                Uncategorized

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