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PiiL:基因通路中DNA甲基化和基因表达数据的可视化

PiiL: visualization of DNA methylation and gene expression data in gene pathways.

作者信息

Moghadam Behrooz Torabi, Zamani Neda, Komorowski Jan, Grabherr Manfred

机构信息

Department of Cell and Molecular Biology, Computational and Systems Biology, Uppsala University, Uppsala, Sweden.

Department of Medical Biochemistry and Microbiology/BILS, Genomics, Uppsala University, Uppsala, Sweden.

出版信息

BMC Genomics. 2017 Aug 2;18(1):571. doi: 10.1186/s12864-017-3950-9.

Abstract

BACKGROUND

DNA methylation is a major mechanism involved in the epigenetic state of a cell. It has been observed that the methylation status of certain CpG sites close to or within a gene can directly affect its expression, either by silencing or, in some cases, up-regulating transcription. However, a vertebrate genome contains millions of CpG sites, all of which are potential targets for methylation, and the specific effects of most sites have not been characterized to date. To study the complex interplay between methylation status, cellular programs, and the resulting phenotypes, we present PiiL, an interactive gene expression pathway browser, facilitating analyses through an integrated view of methylation and expression on multiple levels.

RESULTS

PiiL allows for specific hypothesis testing by quickly assessing pathways or gene networks, where the data is projected onto pathways that can be downloaded directly from the online KEGG database. PiiL provides a comprehensive set of analysis features that allow for quick and specific pattern searches. Individual CpG sites and their impact on host gene expression, as well as the impact on other genes present in the regulatory network, can be examined. To exemplify the power of this approach, we analyzed two types of brain tumors, Glioblastoma multiform and lower grade gliomas.

CONCLUSION

At a glance, we could confirm earlier findings that the predominant methylation and expression patterns separate perfectly by mutations in the IDH genes, rather than by histology. We could also infer the IDH mutation status for samples for which the genotype was not known. By applying different filtering methods, we show that a subset of CpG sites exhibits consistent methylation patterns, and that the status of sites affect the expression of key regulator genes, as well as other genes located downstream in the same pathways. PiiL is implemented in Java with focus on a user-friendly graphical interface. The source code is available under the GPL license from https://github.com/behroozt/PiiL.git .

摘要

背景

DNA甲基化是参与细胞表观遗传状态的主要机制。据观察,靠近基因或基因内部某些CpG位点的甲基化状态可通过沉默或在某些情况下上调转录直接影响其表达。然而,脊椎动物基因组包含数百万个CpG位点,所有这些位点都是甲基化的潜在靶点,且大多数位点的具体作用至今尚未明确。为了研究甲基化状态、细胞程序和由此产生的表型之间的复杂相互作用,我们展示了PiiL,这是一种交互式基因表达途径浏览器,通过在多个层面上对甲基化和表达的综合视图促进分析。

结果

PiiL允许通过快速评估途径或基因网络进行特定的假设检验,数据被投射到可直接从在线KEGG数据库下载的途径上。PiiL提供了一套全面的分析功能,允许进行快速和特定的模式搜索。可以检查单个CpG位点及其对宿主基因表达的影响,以及对调控网络中其他基因的影响。为了举例说明这种方法的强大之处,我们分析了两种类型的脑肿瘤,多形性胶质母细胞瘤和低级别胶质瘤。

结论

一目了然,我们可以证实早期的发现,即主要的甲基化和表达模式通过异柠檬酸脱氢酶(IDH)基因突变完美分离,而不是通过组织学。我们还可以推断出基因型未知的样本的IDH突变状态。通过应用不同的过滤方法,我们表明一部分CpG位点表现出一致的甲基化模式,并且这些位点的状态影响关键调节基因以及同一途径中下游其他基因的表达。PiiL用Java实现,重点是用户友好的图形界面。源代码可在GPL许可下从https://github.com/behroozt/PiiL.git获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ee8/5541427/943fc99b0c4d/12864_2017_3950_Fig1_HTML.jpg

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