Department of Science and High Technology and Center of Bioinformatics , University of Insubria , Busto Arsizio 21052 , Italy.
Computer and Laboratory Investigation of Proteins of Human Origin (CALIPHO), SIB Swiss Institute of Bioinformatics, and Department of Microbiology and Molecular Medicine, Faculty of Medicine , University of Geneva, Centre Médical Universitaire (CMU) , 1211 Geneva 4 , Switzerland.
J Proteome Res. 2018 Dec 7;17(12):4297-4306. doi: 10.1021/acs.jproteome.8b00447. Epub 2018 Oct 8.
Because of the pivotal role of mitochondrial alterations in several diseases, the Human Proteome Organization (HUPO) has promoted in recent years an initiative to characterize the mitochondrial human proteome, the mitochondrial human proteome project (mt-HPP). Here we generated an updated version of the functional mitochondrial human proteome network, made by nodes (mitochondrial proteins) and edges (gold binary interactions), using data retrieved from neXtProt, the reference database for HPP metrics. The principal new concept suggested was the consideration of mitochondria-associated proteins (first interactors), which may influence mitochondrial functions. All of the proteins described as mitochondrial in the sublocation or the GO Cellular Component sections of neXtProt were considered. Their other subcellular and submitochondrial localizations have been analyzed. The network represents the effort to collect all of the high-quality binary interactions described so far for mitochondrial proteins and the possibility for the community to reuse the information collected. As a proof of principle, we mapped proteins with no function, to speculate on their role by the background knowledge of their interactors, and proteins described to be involved in Parkinson's Disease, a neurodegenerative disorder, where it is known that mitochondria play a central role.
由于线粒体改变在多种疾病中的关键作用，人类蛋白质组组织（HUPO）近年来推动了一项描述人类线粒体蛋白质组的计划，即线粒体人类蛋白质组计划（mt-HPP）。在这里，我们使用从 neXtProt 检索到的数据（HPP 指标的参考数据库）生成了一个经过更新的功能线粒体人类蛋白质组网络版本，该网络由节点（线粒体蛋白质）和边（黄金二进制相互作用）组成。提出的主要新概念是考虑线粒体相关蛋白（第一相互作用者），它们可能影响线粒体功能。被描述为线粒体的蛋白质都被认为是在 neXtProt 的亚细胞定位或 GO 细胞成分部分。还分析了它们的其他亚细胞和线粒体亚定位。该网络代表了收集迄今为止描述的所有高质量线粒体蛋白质二元相互作用的努力，以及社区可以重复使用所收集信息的可能性。作为一个原理证明，我们映射了没有功能的蛋白质，通过其相互作用者的背景知识来推测它们的作用，以及描述为参与神经退行性疾病帕金森病的蛋白质，其中已知线粒体起着核心作用。
