VIB-UGent Center for Medical Biotechnology, VIB, Ghent 9000, Belgium.
Department of Biochemistry, Ghent University, Ghent 9000, Belgium.
Nucleic Acids Res. 2018 Jan 4;46(D1):D581-D585. doi: 10.1093/nar/gkx930.
A complete knowledge of the proteome can only be attained by determining the associations between proteins, along with the nature of these associations (e.g. physical contact in protein-protein interactions, participation in complex formation or different roles in the same pathway). Despite extensive efforts in elucidating direct protein interactions, our knowledge on the complete spectrum of protein associations remains limited. We therefore developed a new approach that detects protein associations from identifications obtained after re-processing of large-scale, public mass spectrometry-based proteomics data. Our approach infers protein association based on the co-occurrence of proteins across many different proteomics experiments, and provides information that is almost completely complementary to traditional direct protein interaction studies. We here present a web interface to query and explore the associations derived from this method, called the online Tabloid Proteome. The online Tabloid Proteome also integrates biological knowledge from several existing resources to annotate our derived protein associations. The online Tabloid Proteome is freely available through a user-friendly web interface, which provides intuitive navigation and data exploration options for the user at http://iomics.ugent.be/tabloidproteome.
只有确定蛋白质之间的关联以及这些关联的性质（例如蛋白质-蛋白质相互作用中的物理接触、参与复合物形成或同一途径中的不同作用），才能全面了解蛋白质组。尽管在阐明直接蛋白质相互作用方面做出了广泛的努力，但我们对完整的蛋白质关联谱的了解仍然有限。因此，我们开发了一种新方法，可从重新处理大规模公共基于质谱的蛋白质组学数据获得的鉴定中检测蛋白质关联。我们的方法基于蛋白质在许多不同蛋白质组学实验中的共同出现来推断蛋白质关联，并提供几乎完全互补于传统直接蛋白质相互作用研究的信息。我们在此处提供了一个用于查询和探索该方法得出的关联的网络界面，称为在线 Tabloid Proteome。在线 Tabloid Proteome 还整合了来自几个现有资源的生物学知识，以注释我们推断的蛋白质关联。在线 Tabloid Proteome 通过用户友好的网络界面免费提供，用户可通过以下网址访问：http://iomics.ugent.be/tabloidproteome。
