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      Distinct Distribution of Ectopically Expressed Histone Variants H2A.Bbd and MacroH2A in Open and Closed Chromatin Domains

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          Abstract

          Background

          It becomes increasingly evident that nuclesomes are far from being identical to each other. This nucleosome diversity is due partially to the existence of histone variants encoded by separate genes. Among the known histone variants the less characterized are H2A.Bbd and different forms of macroH2A. This is especially true in the case of H2A.Bbd as there are still no commercially available antibodies specific to H2A.Bbd that can be used for chromatin immunoprecipitation (ChIP).

          Methods

          We have generated HeLa S3 cell lines stably expressing epitope-tagged versions of macroH2A1.1, H2A.Bbd or canonical H2A and analyzed genomic distribution of the tagged histones using ChIP-on-chip technique.

          Results

          The presence of histone H2A variants macroH2A1.1 and H2A.Bbd has been analyzed in the chromatin of several segments of human chromosomes 11, 16 and X that have been chosen for their different gene densities and chromatin status. Chromatin immunoprecipitation (ChIP) followed by hybridization with custom NimbleGene genomic microarrays demonstrated that in open chromatin domains containing tissue-specific along with housekeeping genes, the H2A.Bbd variant was preferentially associated with the body of a subset of transcribed genes. The macroH2A1.1 variant was virtually absent from some genes and underrepresented in others. In contrast, in closed chromatin domains which contain only tissue-specific genes inactive in HeLa S3 cells, both macroH2A1.1 and H2A.Bbd histone variants were present and often colocalized.

          Conclusions

          Genomic distribution of macro H2A and H2A.Bbd does not follow any simple rule and is drastically different in open and closed genomic domains.

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          Most cited references41

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          NCBI GEO: archive for high-throughput functional genomic data

          The Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI) is the largest public repository for high-throughput gene expression data. Additionally, GEO hosts other categories of high-throughput functional genomic data, including those that examine genome copy number variations, chromatin structure, methylation status and transcription factor binding. These data are generated by the research community using high-throughput technologies like microarrays and, more recently, next-generation sequencing. The database has a flexible infrastructure that can capture fully annotated raw and processed data, enabling compliance with major community-derived scientific reporting standards such as ‘Minimum Information About a Microarray Experiment’ (MIAME). In addition to serving as a centralized data storage hub, GEO offers many tools and features that allow users to effectively explore, analyze and download expression data from both gene-centric and experiment-centric perspectives. This article summarizes the GEO repository structure, content and operating procedures, as well as recently introduced data mining features. GEO is freely accessible at http://www.ncbi.nlm.nih.gov/geo/.
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            The Integrated Genome Browser: free software for distribution and exploration of genome-scale datasets

            Summary: Experimental techniques that survey an entire genome demand flexible, highly interactive visualization tools that can display new data alongside foundation datasets, such as reference gene annotations. The Integrated Genome Browser (IGB) aims to meet this need. IGB is an open source, desktop graphical display tool implemented in Java that supports real-time zooming and panning through a genome; layout of genomic features and datasets in moveable, adjustable tiers; incremental or genome-scale data loading from remote web servers or local files; and dynamic manipulation of quantitative data via genome graphs. Availability: The application and source code are available from http://igb.bioviz.org and http://genoviz.sourceforge.net. Contact: aloraine@uncc.edu
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              Allelic inactivation regulates olfactory receptor gene expression.

              We suggest a model in which a hierarchy of controls is exerted on the family of odorant receptor genes to assure that a sensory neuron expresses a single receptor from a family of 1000 genes. We propose that a cis-regulatory element directs the stochastic expression of only one gene from a large array of linked receptor genes. Moreover, only one allelic array encoding multiple receptor genes is active in an individual neuron. We demonstrate that in a neuron expressing a given receptor, expression derives exclusively from one allele. In addition, we observe that alleles encoding the odorant receptors are replicated asynchronously, a phenomenon consistently associated with allelic inactivation. This model, involving inactivation of one allelic array and cis control of the active array, provides a mechanism such that individual neurons express one or a small number of receptors.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                30 October 2012
                : 7
                : 10
                : e47157
                Affiliations
                [1 ]Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
                [2 ]CNRS UMR 8126, Univ. Paris-Sud 11, Institut de cancérologie Gustave Roussy, Villejuif, France
                [3 ]LIA1066, Laboratoire Franco-Russe de recherches en oncologie, Villejuif, France
                [4 ]The Centre for Scientific Computing & Complex Systems Modelling (SCI-SYM), School of Computing, Dublin City University, Dublin, Ireland
                Université Paris-Diderot, France
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: YV SR VO. Performed the experiments: EI AP EM CR IS IP VO. Analyzed the data: AB SR VO ML YV. Contributed reagents/materials/analysis tools: VO. Wrote the paper: SR YV ML.

                Article
                PONE-D-11-23633
                10.1371/journal.pone.0047157
                3484066
                23118866
                6d8400a1-45fb-4644-a0dd-86983db41eda
                Copyright @ 2012

                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
                : 28 November 2011
                : 13 September 2012
                Page count
                Pages: 14
                Funding
                The work of SR lab was supported by the Ministry of Science and Education of the Russian Federation (grants 16.740.11.0353, 16.740.11.0483), the presidium of the Russian Academy of Sciences (grant MCB), by Russian Foundation for the Support of Fundamental Sciences (RFBR grants 09-04-12033-ofi_m and 11-04-00361_a). The work in YV lab was supported by INCa, Canceropole d'Ile de France and the Fondation de France. AP was supported by a postdoctoral fellowship from the Fondation de France. AB was supported by IRCSET INSPIRE International Mobility Fellowship Scheme, Dublin Ireland. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Genetics
                Epigenetics
                Histone Modification
                Gene Expression
                Histone Modification
                Genomics
                Chromosome Biology
                Chromatin
                Molecular Cell Biology
                Gene Expression
                DNA transcription
                Histone Modification
                Chromatin

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                Uncategorized

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