Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland.
J Proteomics. 2013 Jan 14;78:211-20. doi: 10.1016/j.jprot.2012.11.016. Epub 2012 Nov 29.
This paper presents the first proteome network map for the sarcoplasmic fish proteome. A total of 183 non-redundant annotated proteins were identified in a shotgun proteome-wide analysis from 15 different fish species. The final protein compilation was investigated by integrated in-silico studies, including functional GO term enrichment, pathways studies and networks analysis. An in-silico interactomics map was built up merging all the identified proteins. The whole confidence network contains 84 nodes and 279 interactions. Most of the sarcoplasmic fish proteins were grouped under pathways and networks referring to energy, catabolism and lipid metabolism. As a new potential nutritional ingredient valuable bioactive peptides were also predicted after an in-silico human gastrointestinal digestion. As is presented in this study, the integrated global proteomics results and the bioinformatics analysis of the sarcoplasmic fish proteome show the feasibility of this approach to provide a comprehensive knowledge of this fraction since a functional and nutritional point of view.
本文提出了肌浆鱼蛋白质组的第一张蛋白质组网络图谱。通过对来自 15 种不同鱼类的 shotgun 蛋白质组全分析，鉴定了 183 个非冗余注释蛋白。最终的蛋白质综合通过包括功能 GO 术语富集、途径研究和网络分析在内的综合计算机研究进行了调查。通过合并所有鉴定的蛋白质，构建了一个计算机相互作用组图谱。整个置信网络包含 84 个节点和 279 个相互作用。大多数肌浆鱼蛋白被归类为与能量、分解代谢和脂质代谢相关的途径和网络。正如本研究所示，肌浆鱼蛋白质组的综合蛋白质组学结果和生物信息学分析表明，这种方法从功能和营养的角度提供对该成分的全面了解是可行的。
