Chaudhuri Rima, Sadrieh Arash, Hoffman Nolan J, Parker Benjamin L, Humphrey Sean J, Stöckli Jacqueline, Hill Adam P, James David E, Yang Jean Yee Hwa
Charles Perkins Centre, School of Molecular Biosciences, University of Sydney, Camperdown, NSW, 2006, Australia.
Diabetes and Obesity Program, Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, NSW, 2010, Australia.
BMC Genomics. 2015 Aug 19;16(1):617. doi: 10.1186/s12864-015-1820-x.
Most biological processes are influenced by protein post-translational modifications (PTMs). Identifying novel PTM sites in different organisms, including humans and model organisms, has expedited our understanding of key signal transduction mechanisms. However, with increasing availability of deep, quantitative datasets in diverse species, there is a growing need for tools to facilitate cross-species comparison of PTM data. This is particularly important because functionally important modification sites are more likely to be evolutionarily conserved; yet cross-species comparison of PTMs is difficult since they often lie in structurally disordered protein domains. Current tools that address this can only map known PTMs between species based on known orthologous phosphosites, and do not enable the cross-species mapping of newly identified modification sites. Here, we addressed this by developing a web-based software tool, PhosphOrtholog ( www.phosphortholog.com ) that accurately maps protein modification sites between different species. This facilitates the comparison of datasets derived from multiple species, and should be a valuable tool for the proteomics community.
Here we describe PhosphOrtholog, a web-based application for mapping known and novel orthologous PTM sites from experimental data obtained from different species. PhosphOrtholog is the only generic and automated tool that enables cross-species comparison of large-scale PTM datasets without relying on existing PTM databases. This is achieved through pairwise sequence alignment of orthologous protein residues. To demonstrate its utility we apply it to two sets of human and rat muscle phosphoproteomes generated following insulin and exercise stimulation, respectively, and one publicly available mouse phosphoproteome following cellular stress revealing high mapping and coverage efficiency. Although coverage statistics are dataset dependent, PhosphOrtholog increased the number of cross-species mapped sites in all our example data sets by more than double when compared to those recovered using existing resources such as PhosphoSitePlus.
PhosphOrtholog is the first tool that enables mapping of thousands of novel and known protein phosphorylation sites across species, accessible through an easy-to-use web interface. Identification of conserved PTMs across species from large-scale experimental data increases our knowledgebase of functional PTM sites. Moreover, PhosphOrtholog is generic being applicable to other PTM datasets such as acetylation, ubiquitination and methylation.
大多数生物过程都受蛋白质翻译后修饰(PTM)的影响。在包括人类和模式生物在内的不同生物体中识别新的PTM位点,加快了我们对关键信号转导机制的理解。然而,随着不同物种深度定量数据集的可用性不断提高,对促进PTM数据跨物种比较的工具的需求也日益增长。这一点尤为重要,因为功能重要的修饰位点更有可能在进化上保守;然而,PTM的跨物种比较很困难,因为它们通常位于结构无序的蛋白质结构域中。目前解决这一问题的工具只能根据已知的直系同源磷酸化位点在物种间映射已知的PTM,而无法对新鉴定的修饰位点进行跨物种映射。在此,我们通过开发一个基于网络的软件工具PhosphOrtholog(www.phosphortholog.com)来解决这一问题,该工具能准确地在不同物种间映射蛋白质修饰位点。这便于比较来自多个物种的数据集,对于蛋白质组学领域来说应该是一个有价值的工具。
在此我们描述PhosphOrtholog,一个基于网络的应用程序,用于从不同物种获得的实验数据中映射已知和新的直系同源PTM位点。PhosphOrtholog是唯一一种通用且自动化的工具,能够在不依赖现有PTM数据库的情况下对大规模PTM数据集进行跨物种比较。这是通过直系同源蛋白质残基的成对序列比对实现的。为了证明其效用,我们将其应用于分别在胰岛素和运动刺激后生成的两组人类和大鼠肌肉磷酸化蛋白质组,以及一组在细胞应激后公开可用的小鼠磷酸化蛋白质组,结果显示其具有高映射和覆盖效率。尽管覆盖统计依赖于数据集,但与使用诸如PhosphoSitePlus等现有资源所获得的结果相比,PhosphOrtholog在我们所有的示例数据集中将跨物种映射位点的数量增加了一倍多。
PhosphOrtholog是首个能够通过易于使用的网络界面跨物种映射数千个新的和已知的蛋白质磷酸化位点的工具。从大规模实验数据中识别跨物种保守的PTM增加了我们关于功能性PTM位点的知识库。此外,PhosphOrtholog具有通用性,适用于其他PTM数据集,如乙酰化、泛素化和甲基化数据集。