Turner Tychele
Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, 733 N, Broadway, MRB 572, Baltimore, MD 21205, USA.
J Clin Bioinforma. 2013 Jul 22;3(1):14. doi: 10.1186/2043-9113-3-14.
Next-generation sequencing has enabled examination of variation at the DNA sequence level and can be further enhanced by evaluation of the variants at the protein level. One powerful method is to visualize these data often revealing patterns not immediately apparent in a text version of the same data. Many investigators are interested in knowing where their amino acid changes reside within a protein. Clustering of variation within a protein versus non-clustering can show interesting aspects of the biological changes happening in disease.
We describe a freely available tool, Plot Protein, executable from the command line or utilized as a graphical interface through a web browser, to enable visualization of amino acid changes at the protein level. This allows researchers to plot variation from their sequencing studies in a quick and uniform way. The features available include plotting amino acid changes, domains, post-translational modifications, reference sequence, conservation, conservation score, and also zoom capabilities. Herein we provide a case example using this tool to examine the RET protein and we demonstrate how clustering of mutations within the protein in Multiple Endocrine Neoplasia 2A (MEN2A) reveals important information about disease mechanism.
Plot Protein is a useful tool for investigating amino acid changes and their localization within proteins. Command line and web server versions of this software are described that enable users to derive visual knowledge about their mutations.
新一代测序技术能够在DNA序列水平检测变异,而通过在蛋白质水平评估这些变异可进一步增强检测效果。一种强大的方法是将这些数据可视化,这样常常能揭示相同数据的文本版本中不那么明显的模式。许多研究人员都想知道他们发现的氨基酸变化位于蛋白质的什么位置。蛋白质内变异的聚类与非聚类情况能够展现疾病中发生的生物学变化的有趣方面。
我们描述了一种免费可用的工具——绘制蛋白质(Plot Protein),它既可以从命令行执行,也可以通过网络浏览器作为图形界面使用,用于在蛋白质水平可视化氨基酸变化。这使得研究人员能够以快速且统一的方式绘制来自其测序研究的变异情况。可用的功能包括绘制氨基酸变化、结构域、翻译后修饰、参考序列、保守性、保守得分,还有缩放功能。在此我们提供一个使用该工具研究RET蛋白的案例,并展示在多发性内分泌腺瘤2A型(MEN2A)中蛋白质内突变的聚类如何揭示有关疾病机制的重要信息。
绘制蛋白质(Plot Protein)是研究氨基酸变化及其在蛋白质内定位的有用工具。本文描述了该软件的命令行版本和网络服务器版本,使用户能够获得关于其突变的可视化知识。