Heyer Robert, Schallert Kay, Büdel Anja, Zoun Roman, Dorl Sebastian, Behne Alexander, Kohrs Fabian, Püttker Sebastian, Siewert Corina, Muth Thilo, Saake Gunter, Reichl Udo, Benndorf Dirk
Bioprocess Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Database Research Group, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Front Microbiol. 2019 Aug 16;10:1883. doi: 10.3389/fmicb.2019.01883. eCollection 2019.
The investigation of microbial proteins by mass spectrometry (metaproteomics) is a key technology for simultaneously assessing the taxonomic composition and the functionality of microbial communities in medical, environmental, and biotechnological applications. We present an improved metaproteomics workflow using an updated sample preparation and a new version of the MetaProteomeAnalyzer software for data analysis. High resolution by multidimensional separation (GeLC, MudPIT) was sacrificed to aim at fast analysis of a broad range of different samples in less than 24 h. The improved workflow generated at least two times as many protein identifications than our previous workflow, and a drastic increase of taxonomic and functional annotations. Improvements of all aspects of the workflow, particularly the speed, are first steps toward potential routine clinical diagnostics (i.e., fecal samples) and analysis of technical and environmental samples. The MetaProteomeAnalyzer is provided to the scientific community as a central remote server solution at www.mpa.ovgu.de.
通过质谱法对微生物蛋白质进行研究(宏蛋白质组学)是在医学、环境和生物技术应用中同时评估微生物群落的分类组成和功能的一项关键技术。我们展示了一种改进的宏蛋白质组学工作流程,该流程使用了更新的样品制备方法和新版本的MetaProteomeAnalyzer软件进行数据分析。为了在不到24小时的时间内快速分析大量不同的样品,牺牲了多维分离(GeLC、MudPIT)的高分辨率。改进后的工作流程产生的蛋白质鉴定数量至少是我们之前工作流程的两倍,并且分类和功能注释大幅增加。工作流程各方面的改进,尤其是速度方面的改进,是迈向潜在的常规临床诊断(即粪便样本)以及技术和环境样本分析的第一步。MetaProteomeAnalyzer作为一个中央远程服务器解决方案,可在www.mpa.ovgu.de上提供给科学界。