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首页> 外文期刊>PLoS Computational Biology >Podbat: A Novel Genomic Tool Reveals Swr1-Independent H2A.Z Incorporation at Gene Coding Sequences through Epigenetic Meta-Analysis
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Podbat: A Novel Genomic Tool Reveals Swr1-Independent H2A.Z Incorporation at Gene Coding Sequences through Epigenetic Meta-Analysis

机译:Podbat:一种新型的基因组学工具通过表观遗传元分析揭示了在基因编码序列上不依赖于Swr1的H2A.Z整合。

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Epigenetic regulation consists of a multitude of different modifications that determine active and inactive states of chromatin. Conditions such as cell differentiation or exposure to environmental stress require concerted changes in gene expression. To interpret epigenomics data, a spectrum of different interconnected datasets is needed, ranging from the genome sequence and positions of histones, together with their modifications and variants, to the transcriptional output of genomic regions. Here we present a tool, Podbat (Positioning database and analysis tool), that incorporates data from various sources and allows detailed dissection of the entire range of chromatin modifications simultaneously. Podbat can be used to analyze, visualize, store and share epigenomics data. Among other functions, Podbat allows data-driven determination of genome regions of differential protein occupancy or RNA expression using Hidden Markov Models. Comparisons between datasets are facilitated to enable the study of the comprehensive chromatin modification system simultaneously, irrespective of data-generating technique. Any organism with a sequenced genome can be accommodated. We exemplify the power of Podbat by reanalyzing all to-date published genome-wide data for the histone variant H2A.Z in fission yeast together with other histone marks and also phenotypic response data from several sources. This meta-analysis led to the unexpected finding of H2A.Z incorporation in the coding regions of genes encoding proteins involved in the regulation of meiosis and genotoxic stress responses. This incorporation was partly independent of the H2A.Z-incorporating remodeller Swr1. We verified an Swr1-independent role for H2A.Z following genotoxic stress in vivo. Podbat is open source software freely downloadable from www.podbat.org, distributed under the GNU LGPL license. User manuals, test data and instructions are available at the website, as well as a repository for third party–developed plug-in modules. Podbat requires Java version 1.6 or higher.
机译:表观遗传调控由许多不同的修饰组成,这些修饰决定了染色质的活跃状态和非活跃状态。细胞分化或暴露于环境压力等条件要求基因表达发生一致变化。为了解释表观基因组学数据,需要一系列不同的互连数据集,范围从基因组序列和组蛋白的位置,以及它们的修饰和变异,到基因组区域的转录输出。在这里,我们介绍了工具Podbat(定位数据库和分析工具),该工具整合了来自各种来源的数据,并允许同时详细剖析整个染色质修饰范围。 Podbat可用于分析,可视化,存储和共享表观基因组学数据。除其他功能外,Podbat还允许使用隐马尔可夫模型以数据驱动的方式确定差异蛋白质占有率或RNA表达的基因组区域。无论数据生成技术如何,都有利于数据集之间的比较,以使同时研究综合的染色质修饰系统成为可能。可以容纳任何具有测序基因组的生物。我们通过重新分析裂变酵母中组蛋白变体H2A.Z的所有最新已发布的全基因组数据以及其他组蛋白标记以及来自多个来源的表型响应数据,来证明Podbat的强大功能。这项荟萃分析导致意外发现H2A.Z掺入了编码参与减数分裂和遗传毒性应激反应调控蛋白的基因的编码区。此合并部分独立于H2A.Z合并的重塑器Swr1。我们验证了体内遗传毒性后H2A.Z的Swr1独立作用。 Podbat是可从www.podbat.org免费下载的开源软件,并已获得GNU LGPL许可。网站上提供了用户手册,测试数据和说明,以及第三方开发的插件模块的存储库。 Podbat需要Java 1.6或更高版本。

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